Tootfinder

Trump Administration Considers Longtime Critic to Lead Bureau of Labor Statistics (Wall Street Journal)
https://www.wsj.com/politics/policy/trump-administration-considers-longtime-critic-to-lead-bureau-of-labor-statistics-5aea02ed
http://www.memeorandum.com/250810/p56#a250810p56

Neural Actor-Critic Methods for Hamilton-Jacobi-Bellman PDEs: Asymptotic Analysis and Numerical Studies
Samuel N. Cohen, Jackson Hebner, Deqing Jiang, Justin Sirignano
https://arxiv.org/abs/2507.06428

Neural Actor-Critic Methods for Hamilton-Jacobi-Bellman PDEs: Asymptotic Analysis and Numerical Studies
We mathematically analyze and numerically study an actor-critic machine learning algorithm for solving high-dimensional Hamilton-Jacobi-Bellman (HJB) partial differential equations from stochastic control theory. The architecture of the critic (the estimator for the value function) is structured so that the boundary condition is always perfectly satisfied (rather than being included in the training loss) and utilizes a biased gradient which reduces computational cost. The actor (the estimator f…

Critic as Censor: How the Humanities Sacrificed Art at the Altar of Theory
My beloved friend, mentor, and Columbia University Professor Howard Stein, was fond of saying, “The Enemy of the Arts is the Humanities.” That insight, and advice, has stuck with me over the past 35 years. Now, that phrase is not the glib provocation it may seem. It is a precise diagnosis of an institutional disease, a declaration of war against a century of academic drift that has created a…

'Even MAGA people smell it': Critic says Trump moves show he 'thinks his base is stupid' - Alternet.org
https://www.alternet.org/msn-uk/trump-jeffrey-epstein-guilty/

“I’ve just seen pictures of my two daughters on a curb in downtown Los Angeles in handcuffs [with] the LAPD,”
Pasadena City Council member Rick Cole said at the rally.
“So I’m going to be figuring out where they are so I can go bail them out.”
Protests against federal immigration raids continued to rage Sunday after Trump ordered the National Guard to Southern California.
Mejia, Cole’s boss, is an outspoken critic of the Los Angeles Police Department.
On Fri…

L.A. City Council aide arrested on assault charge at anti-ICE protest
Luz Aguilar, 26, who serves as City Councilmember Ysabel Jurado’s deputy for economic innovation and community growth, was arrested around 7 p.m. Sunday.

The magat review-bombing of Superman isn't working.
https://www.forbes.com/sites/paultassi/2025/07/10/superman-just-set-a-rotten-tomatoes-audience-score-record/

Lewis Mumford on the City, Part 2: The City: Cars or People? - #NFB
https://www.nfb.ca/film/lewis_mumford_on_the_city_part_2/
> This short documentary is part of a series hosted by American historian, sociologist, philosopher of technology, and literary critic Lewis Mumford

This https://arxiv.org/abs/2506.02841 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Ensemble-MIX: Enhancing Sample Efficiency in Multi-Agent RL Using Ensemble Methods
Multi-agent reinforcement learning (MARL) methods have achieved state-of-the-art results on a range of multi-agent tasks. Yet, MARL algorithms typically require significantly more environment interactions than their single-agent counterparts to converge, a problem exacerbated by the difficulty in exploring over a large joint action space and the high variance intrinsic to MARL environments. To tackle these issues, we propose a novel algorithm that combines a decomposed centralized critic with d…

Enhancing Multi-Agent Collaboration with Attention-Based Actor-Critic Policies
Hugo Garrido-Lestache, Jeremy Kedziora
https://arxiv.org/abs/2507.22782 https://

Enhancing Multi-Agent Collaboration with Attention-Based Actor-Critic Policies
This paper introduces Team-Attention-Actor-Critic (TAAC), a reinforcement learning algorithm designed to enhance multi-agent collaboration in cooperative environments. TAAC employs a Centralized Training/Centralized Execution scheme incorporating multi-headed attention mechanisms in both the actor and critic. This design facilitates dynamic, inter-agent communication, allowing agents to explicitly query teammates, thereby efficiently managing the exponential growth of joint-action spaces while …

Since January, the NWS—a branch of the National Oceanic and Atmospheric Administration (NOAA)—has reduced its workforce by nearly 600 people as a direct result of staffing cuts ordered by the Department of Government Efficiency, or DOGE, as part of Trump’s mission to eviscerate numerous federal agencies.
This policy is in line with Project 2025, the Heritage Foundation-led blueprint for a far-right overhaul of the federal government that calls for “dismantling” NOAA. Trump has also cal…

As flood deaths rise, Texas officials blast faulty forecast by DOGE-gutted National Weather Service
"Experts warned for months that drastic and sudden cuts at the National Weather Service by Trump could impair their forecasting ability and endanger lives during the storm season," said one critic.

As Flood Deaths Rise, Texas Officials Blast Faulty Forecast by DOGE-Gutted National Weather Service
https://flip.it/BJQ-oD

As Flood Deaths Rise, Texas Officials Blast Faulty Forecast by DOGE-Gutted National Weather Service | Common Dreams
"Experts warned for months that drastic and sudden cuts at the National Weather Service by Trump could impair their forecasting ability and endanger lives during the storm season," said one critic.

Implicit Actor Critic Coupling via a Supervised Learning Framework for RLVR
Jiaming Li, Longze Chen, Ze Gong, Yukun Chen, Lu Wang, Wanwei He, Run Luo, Min Yang
https://arxiv.org/abs/2509.02522

Implicit Actor Critic Coupling via a Supervised Learning Framework for RLVR
Recent advances in Reinforcement Learning with Verifiable Rewards (RLVR) have empowered large language models (LLMs) to tackle challenging reasoning tasks such as mathematics and programming. RLVR leverages verifiable outcome rewards to guide policy optimization, enabling LLMs to progressively improve output quality in a grounded and reliable manner. Despite its promise, the RLVR paradigm poses significant challenges, as existing methods often suffer from sparse reward signals and unstable poli…

Cultural criticism is at risk of erasure, as the Chicago Tribune cut its film critic job, VF fired its film critic, and the NYT reassigned four arts critics (Jesse Hassenger/The Guardian)
https://www.theguardian.com/culture/2025/aug/26/movie-reviews-c…

Jesus. The russian federation disrupted GPS signals for the President of EU’s plane and he’s trying to make jokes about it. 😳🤦‍♂️
https://apnews.com/article/europe-leyen-plane-radar-russia-jammed-51fa78294c2d0464dce5fd24dd4f273b …

Russia is suspected of jamming navigation on EU leader’s plane above Bulgaria, an official says
A plane carrying European Commission President Ursula von der Leyen was hit by GPS jamming over Bulgaria in a suspected Russian operation. A spokesperson confirmed the incident on Monday. The plane landed safely at Plovdiv airport. Von der Leyen will continue her planned tour of the European Union’s nations bordering Russia and Belarus, according to the commission's spokesperson Arianna Podestà. Von der Leyen, a fierce critic of Russian President Vladimir Putin and Moscow’s war in Ukraine,…

Trump selected Stephen Miran,
the chair of his Council of Economic Advisers,
-- and a vocal critic of Fed chair, Jerome H. Powell,
to temporarily fill the seat on the Federal Reserve Board that was vacated last week by the unexpected resignation of one of its governors, Adriana D. Kugler.
If confirmed by the Senate, Mr. Miran will assume a term that expires Jan. 31.

Trump Live Updates: News on the Fed, Admissions Data, New Census and Putin Meeting

Rep. Nancy Mace, Trump critic-turned-ally, to run for South Carolina governor (Kadia Goba/Washington Post)
https://www.washingtonpost.com/politics/2025/08/04/mace-governor-south-carolina-trump/
http://www.memeorandum.com/250804/p6#a250804p6

SWE-SQL: Illuminating LLM Pathways to Solve User SQL Issues in Real-World Applications
Jinyang Li, Xiaolong Li, Ge Qu, Per Jacobsson, Bowen Qin, Binyuan Hui, Shuzheng Si, Nan Huo, Xiaohan Xu, Yue Zhang, Ziwei Tang, Yuanshuai Li, Florensia Widjaja, Xintong Zhu, Feige Zhou, Yongfeng Huang, Yannis Papakonstantinou, Fatma Ozcan, Chenhao Ma, Reynold Cheng

SWE-SQL: Illuminating LLM Pathways to Solve User SQL Issues in Real-World Applications
Resolution of complex SQL issues persists as a significant bottleneck in real-world database applications. Current Large Language Models (LLMs), while adept at text-to-SQL translation, have not been rigorously evaluated on the more challenging task of debugging SQL issues. To address this gap, we introduce BIRD-CRITIC, a new SQL issue debugging benchmark comprising 530 PostgreSQL tasks (BIRD-CRITIC-PG) and 570 multi-dialect tasks (BIRD-CRITIC-Multi), distilled from authentic user issues and rep…

Actor-Critic for Continuous Action Chunks: A Reinforcement Learning Framework for Long-Horizon Robotic Manipulation with Sparse Reward
Jiarui Yang, Bin Zhu, Jingjing Chen, Yu-Gang Jiang
https://arxiv.org/abs/2508.11143

Actor-Critic for Continuous Action Chunks: A Reinforcement Learning Framework for Long-Horizon Robotic Manipulation with Sparse Reward
Existing reinforcement learning (RL) methods struggle with long-horizon robotic manipulation tasks, particularly those involving sparse rewards. While action chunking is a promising paradigm for robotic manipulation, using RL to directly learn continuous action chunks in a stable and data-efficient manner remains a critical challenge. This paper introduces AC3 (Actor-Critic for Continuous Chunks), a novel RL framework that learns to generate high-dimensional, continuous action sequences. To mak…

Vinay Prasad,
a critic of broadly administering coronavirus shots
who became the Food and Drug Administration’s top vaccine and gene therapy regulator in May,
was ousted Tuesday,
according to two people familiar with the situation.

Prasad had recently come under fire from some Republicans and conservative activists,
including far-right activist Laura Loomer,
over his approach to drug approvals and his previous support for Democratic politicians.

Vocal FDA critic who became top agency vaccine regulator abruptly departs
Vinay Prasad, who became prominent as a critic of coronavirus vaccine policy, briefly served as the FDA’s top regulator of vaccines, gene therapies and the blood supply.

Connectivity Management in Satellite-Aided Vehicular Networks with Multi-Head Attention-Based State Estimation
Ibrahim Althamary, Chen-Fu Chou, Chih-Wei Huang
https://arxiv.org/abs/2508.01060

Connectivity Management in Satellite-Aided Vehicular Networks with Multi-Head Attention-Based State Estimation
Managing connectivity in integrated satellite-terrestrial vehicular networks is critical for 6G, yet is challenged by dynamic conditions and partial observability. This letter introduces the Multi-Agent Actor-Critic with Satellite-Aided Multi-head self-attention (MAAC-SAM), a novel multi-agent reinforcement learning framework that enables vehicles to autonomously manage connectivity across Vehicle-to-Satellite (V2S), Vehicle-to-Infrastructure (V2I), and Vehicle-to-Vehicle (V2V) links. Our key i…

Graph Attention-based Decentralized Actor-Critic for Dual-Objective Control of Multi-UAV Swarms
Haoran Peng, Ying-Jun Angela Zhang
https://arxiv.org/abs/2506.09195

Graph Attention-based Decentralized Actor-Critic for Dual-Objective Control of Multi-UAV Swarms
This research focuses on optimizing multi-UAV systems with dual objectives: maximizing service coverage as the primary goal while extending battery lifetime as the secondary objective. We propose a Graph Attention-based Decentralized Actor-Critic (GADC) to optimize the dual objectives. The proposed approach leverages a graph attention network to process UAVs' limited local observation and reduce the dimension of the environment states. Subsequently, an actor-double-critic network is developed t…

Finally: the United States sanctions Israeli officials for their ongoing genocide of the Palestinian people.
And by that I mean the United States sanctions the United Nations Human Rights Council special rapporteur Francesca Albanese for criticising and calling for an end to Israel’s genocide of the Palestinian people.
“Are we the baddies?”
What a silly question. When did you stop?

US sanctions UN expert Francesca Albanese, critic of Israel's Gaza offensive
Secretary of State Marco Rubio linked the move to her support for the International Criminal Court (ICC).

Robert F. Kennedy Jr., the health secretary and a longtime vaccine critic,
announced in a statement Tuesday that
❌ $500 million worth of vaccine development projects -- all using mRNA technology -- will be halted.
The projects — 22 of them — are being led by some of the nation’s leading pharmaceutical companies like Pfizer and Moderna to prevent flu, COVID-19 and H5N1 infections

RFK Jr. pulls funding for vaccines being developed to fight respiratory viruses
The projects — 22 of them — are being led by some of the nation’s leading pharmaceutical companies like Pfizer and Moderna to prevent flu, COVID-19 and H5N1 infections.

Media critic Erik Wemple says he has taken The Washington Post's buyout offer and will start covering media for The New York Times in September (@erikwemple)
https://x.com/erikwemple/status/1950646784360907069

ErikWemple (@ErikWemple) on X
After 14 very, very happy years writing opinions on media at the Washington Post, I am taking the newspaper's buyout offer. In September, I will begin work at the New York Times covering media from Washington for the paper's Business section.

Prominent critic of RFK Jr. blocked from FDA vaccine committee (Rachel Roubein/Washington Post)
https://www.washingtonpost.com/health/2025/09/02/paul-offit-vaccine-fda/
http://www.memeorandum.com/250902/p127#a250902p127

Replaced article(s) found for cond-mat.quant-gas. https://arxiv.org/list/cond-mat.quant-gas/new
[1/1]:
- Beyond Conventional Pairing: Bosonic Quartic Superfluidity, Exotic XY Magnetism, and Phase Critic...
Chenrong Liu, Zhi Lin

A classic. Reporter fails to pay attention to what the nimbys actually say.
Reporter: Critics fear that [very modest] upzone won't produce "housing that is actually affordable for county residents"
Then quotes critic who fears it will "just provide more affordably priced rental units"
https://…

Reinforcement Learning for Optimal Control of Spin Magnetometers
Logan W. Cooke, Stefanie Czischek
https://arxiv.org/abs/2506.21475 https://

Reinforcement Learning for Optimal Control of Spin Magnetometers
Quantum optimal control in the presence of decoherence is difficult, particularly when not all Hamiltonian parameters are known precisely, as in quantum sensing applications. In this context, maximizing the sensitivity of the system is the objective, for which the optimal target state or unitary transformations are unknown, especially in the case of multi-parameter estimation. Here, we investigate the use of reinforcement learning (RL), specifically the soft actor-critic (SAC) algorithm, for pr…

HJB-based online safety-embedded critic learning for uncertain systems with self-triggered mechanism
Zhanglin Shangguan, Bo Yang, Qi Li, Wei Xiao, Xingping Guan
https://arxiv.org/abs/2507.20545

HJB-based online safety-embedded critic learning for uncertain systems with self-triggered mechanism
This paper presents a learning-based optimal control framework for safety-critical systems with parametric uncertainties, addressing both time-triggered and self-triggered controller implementations. First, we develop a robust control barrier function (RCBF) incorporating Lyapunov-based compensation terms to rigorously guarantee safety despite parametric uncertainties. Building on this safety guarantee, we formulate the constrained optimal control problem as the minimization of a novel safety-e…

Oh wow, there's a new Mr. Plinkett video!
(For those who don't know, that "movie critic" persona was created for an epic takedown of StarWars episodes 1-3 in the early era of youtube. For me and probably many others it was the first time they saw funny but smart long-form video essays about culture and media.)
https://www.

An adorable indie movie that's like a love-letter to the fantasy movies of the 1980s? Yes plz. I really recommend "Man and Witch" https://www.rottentomatoes.com/m/man_and_witch_the_dance_of_a_thousand_steps

Man and Witch: The Dance of a Thousand Steps | Rotten Tomatoes
Discover reviews, ratings, and trailers for Man and Witch: The Dance of a Thousand Steps on Rotten Tomatoes. Stay updated with critic and audience scores today!

Improving Rationality in the Reasoning Process of Language Models through Self-playing Game
Pinzheng Wang, Juntao Li, Zecheng Tang, Haijia Gui, Min zhang
https://arxiv.org/abs/2506.22920

Improving Rationality in the Reasoning Process of Language Models through Self-playing Game
Large language models (LLMs) have demonstrated considerable reasoning abilities in various tasks such as mathematics and coding. However, recent studies indicate that even the best models lack true comprehension of their reasoning processes. In this paper, we explore how self-play can enhance the rationality of models in the reasoning process without supervision from humans or superior models. We design a Critic-Discernment Game(CDG) in which a prover first provides a solution to a given proble…

Fully Spiking Actor-Critic Neural Network for Robotic Manipulation
Liwen Zhang, Heng Deng, Guanghui Sun
https://arxiv.org/abs/2508.12038 https://arxiv.org/…

Fully Spiking Actor-Critic Neural Network for Robotic Manipulation
This study proposes a hybrid curriculum reinforcement learning (CRL) framework based on a fully spiking neural network (SNN) for 9-degree-of-freedom robotic arms performing target reaching and grasping tasks. To reduce network complexity and inference latency, the SNN architecture is simplified to include only an input and an output layer, which shows strong potential for resource-constrained environments. Building on the advantages of SNNs-high inference speed, low energy consumption, and spik…

Training Language Model to Critique for Better Refinement
Tianshu Yu, Chao Xiang, Mingchuan Yang, Pei Ke, Bosi Wen, Cunxiang Wang, Jiale Cheng, Li Zhang, Xinyu Mu, Chuxiong Sun, Minlie Huang
https://arxiv.org/abs/2506.22157

Training Language Model to Critique for Better Refinement
Large language models (LLMs) have demonstrated remarkable evaluation and critique capabilities, providing insightful feedback and identifying flaws in various tasks. However, limited research has explored which types of critiques are most effective for improving model responses or how to generate such critiques. To address this gap, we introduce \textbf{R}efinement-oriented \textbf{C}ritique \textbf{O}ptimization (RCO), a novel framework designed to train critic models using refinement signals.…

A Critic of Universities Is Rallying to Defend Them in the Trump Era - The New York Times
https://archive.ph/3alQc

Crosslisted article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[1/4]:
- SegDAC: Segmentation-Driven Actor-Critic for Visual Reinforcement Learning
Alexandre Brown, Glen Berseth

Trump to Nominate Longtime Critic to Lead Bureau of Labor Statistics (Meridith McGraw/Wall Street Journal)
https://www.wsj.com/politics/policy/trump-to-nominate-longtime-critic-to-lead-bureau-of-labor-statistics-190e7252
http://www.memeorandum.com/250811/p116#a250811p116

Days after attorney general Pam Bondi tried to put an end to the Justice Department’s revelations about Jeffrey Epstein, captains of the legal resistance gathered by Zoom.
Norm Eisen, a former attorney for Barack Obama’s White House, had convened lawyers, Democratic communications strategists, a neoconservative Trump critic, and a former chair of the Michigan Democratic Party.
This one was big, Eisen said from his parked car in Baltimore, where he had traveled for a lawsuit to ov…

The Anti-Trump Resistance That’s Actually Working
A flurry of lawsuits is challenging Trump in the court of law and the court of public opinion.

Source-Condition Analysis of Kernel Adversarial Estimators
Antonio Olivas-Martinez, Andrea Rotnitzky
https://arxiv.org/abs/2508.17181 https://arxiv.org/pdf…

Source-Condition Analysis of Kernel Adversarial Estimators
In many applications, the target parameter depends on a nuisance function defined by a conditional moment restriction, whose estimation often leads to an ill-posed inverse problem. Classical approaches, such as sieve-based GMM, approximate the restriction using a fixed set of test functions and may fail to capture important aspects of the solution. Adversarial estimators address this limitation by framing estimation as a game between an estimator and an adaptive critic. We study the class of Re…

Imitation Learning for Satellite Attitude Control under Unknown Perturbations
Zhizhuo Zhang, Hao Peng, Xiaoli Bai
https://arxiv.org/abs/2507.01161 https://…

Imitation Learning for Satellite Attitude Control under Unknown Perturbations
This paper presents a novel satellite attitude control framework that integrates Soft Actor-Critic (SAC) reinforcement learning with Generative Adversarial Imitation Learning (GAIL) to achieve robust performance under various unknown perturbations. Traditional control techniques often rely on precise system models and are sensitive to parameter uncertainties and external perturbations. To overcome these limitations, we first develop a SAC-based expert controller that demonstrates improved resil…

Republican Rep. Don Bacon, a vocal Trump critic, won't seek reelection (Washington Post)
https://www.washingtonpost.com/politics/2025/06/28/don-bacon-reelection-nebraska/
http://www.memeorandum.com/250628/p5#a250628p5

Multi-critic Learning for Whole-body End-effector Twist Tracking
Aravind Elanjimattathil Vijayan, Andrei Cramariuc, Mattia Risiglione, Christian Gehring, Marco Hutter
https://arxiv.org/abs/2507.08656

Multi-critic Learning for Whole-body End-effector Twist Tracking
Learning whole-body control for locomotion and arm motions in a single policy has challenges, as the two tasks have conflicting goals. For instance, efficient locomotion typically favors a horizontal base orientation, while end-effector tracking may benefit from base tilting to extend reachability. Additionally, current Reinforcement Learning (RL) approaches using a pose-based task specification lack the ability to directly control the end-effector velocity, making smoothly executing trajectori…

A Distributed Actor-Critic Algorithm for Fixed-Time Consensus in Nonlinear Multi-Agent Systems
Aria Delshad, Maryam Babazadeh
https://arxiv.org/abs/2507.16520

A Distributed Actor-Critic Algorithm for Fixed-Time Consensus in Nonlinear Multi-Agent Systems
This paper proposes a reinforcement learning (RL)-based backstepping control strategy to achieve fixed time consensus in nonlinear multi-agent systems with strict feedback dynamics. Agents exchange only output information with their neighbors over a directed communication graph, without requiring full state measurements or symmetric communication. Achieving fixed time consensus, where convergence occurs within a pre-specified time bound that is independent of initial conditions is faced with si…

In an internal memo, NYT's culture editor says four critics, including long-time music critic Jon Pareles, will be reassigned as the section seeks new voices (Todd Spangler/Variety)
https://variety.com/2025/tv/news/new-y

NY Times Reassigns Four Critics in Culture Desk Shake-Up
Four New York Times critics -- Margaret Lyons, Jon Pareles, Jesse Green and Zach Woolfe -- will be assigned 'new roles' as the paper changes up its culture desk coverage.

From Tabula Rasa to Emergent Abilities: Discovering Robot Skills via Real-World Unsupervised Quality-Diversity
Luca Grillotti (AIRL, Imperial College London), Lisa Coiffard (AIRL, Imperial College London), Oscar Pang (AIRL, Imperial College London), Maxence Faldor (AIRL, Imperial College London), Antoine Cully (AIRL, Imperial College London)
https://

From Tabula Rasa to Emergent Abilities: Discovering Robot Skills via Real-World Unsupervised Quality-Diversity
Autonomous skill discovery aims to enable robots to acquire diverse behaviors without explicit supervision. Learning such behaviors directly on physical hardware remains challenging due to safety and data efficiency constraints. Existing methods, including Quality-Diversity Actor-Critic (QDAC), require manually defined skill spaces and carefully tuned heuristics, limiting real-world applicability. We propose Unsupervised Real-world Skill Acquisition (URSA), an extension of QDAC that enables rob…

OPTIC-ER: A Reinforcement Learning Framework for Real-Time Emergency Response and Equitable Resource Allocation in Underserved African Communities
Mary Tonwe
https://arxiv.org/abs/2508.12943

OPTIC-ER: A Reinforcement Learning Framework for Real-Time Emergency Response and Equitable Resource Allocation in Underserved African Communities
Public service systems in many African regions suffer from delayed emergency response and spatial inequity, causing avoidable suffering. This paper introduces OPTIC-ER, a reinforcement learning (RL) framework for real-time, adaptive, and equitable emergency response. OPTIC-ER uses an attention-guided actor-critic architecture to manage the complexity of dispatch environments. Its key innovations are a Context-Rich State Vector, encoding action sub-optimality, and a Precision Reward Function, wh…

Hierarchical Reinforcement Learning and Value Optimization for Challenging Quadruped Locomotion
Jeremiah Coholich, Muhammad Ali Murtaza, Seth Hutchinson, Zsolt Kira
https://arxiv.org/abs/2506.20036

Hierarchical Reinforcement Learning and Value Optimization for Challenging Quadruped Locomotion
We propose a novel hierarchical reinforcement learning framework for quadruped locomotion over challenging terrain. Our approach incorporates a two-layer hierarchy in which a high-level policy (HLP) selects optimal goals for a low-level policy (LLP). The LLP is trained using an on-policy actor-critic RL algorithm and is given footstep placements as goals. We propose an HLP that does not require any additional training or environment samples and instead operates via an online optimization proces…

Exclusive: Longtime critic Sen. Warren defends Fed in White House attacks (Courtenay Brown/Axios)
https://www.axios.com/2025/07/16/trump-powell-elizabeth-warren
http://www.memeorandum.com/250716/p87#a250716p87

Efficient Preparation of Fermionic Superfluids in an Optical Dipole Trap through Reinforcement Learning
Yueyang Min, Ziliang Li, Yi Zhong, Jia-An Xuan, Jian Lin, Fei Leng, Xiaopeng Li
https://arxiv.org/abs/2507.12152

Efficient Preparation of Fermionic Superfluids in an Optical Dipole Trap through Reinforcement Learning
We demonstrate a reinforcement learning (RL) based control framework for optimizing evaporative cooling in the preparation of strongly interacting degenerate Fermi gases of Li6. Using a Soft Actor-Critic (SAC) algorithm, the system autonomously explores a high-dimensional parameter space to learn optimal cooling trajectories. Compared to conventional exponential ramps, our method achieves up to 130% improvement in atomic density within a 0.5 second, revealing non-trivial control strategies that…

Democrats must organize urgently for the 2026 midterm elections
and avoid a “it can’t happen here” mentality
to stop Donald Trump from staging a full-scale autocratic takeover,
a Hungarian opposition parliamentarian has said.
Katalin Cseh,
a critic of Hungary’s strongman prime minister, Viktor Orbšn,
told a forum on authoritarianism that
the central European country’s experience held vital lessons for Trump’s opponents
in their attempts to resi…

Scalable Fairness Shaping with LLM-Guided Multi-Agent Reinforcement Learning for Peer-to-Peer Electricity Markets
Shrenik Jadhav, Birva Sevak, Srijita Das, Akhtar Hussain, Wencong Su, Van-Hai Bui
https://arxiv.org/abs/2508.18610

Scalable Fairness Shaping with LLM-Guided Multi-Agent Reinforcement Learning for Peer-to-Peer Electricity Markets
Peer-to-peer (P2P) energy trading is becoming central to modern distribution systems as rooftop PV and home energy management systems become pervasive, yet most existing market and reinforcement learning designs emphasize efficiency or private profit and offer little real-time guidance to ensure equitable outcomes under uncertainty. To address this gap, a fairness-aware multiagent reinforcement learning framework, FairMarket-RL, is proposed in which a large language model (LLM) critic shapes bi…

Trump accuses Sen. Adam Schiff of mortgage fraud in new attack on critic (Rachel Siegel/Washington Post)
https://www.washingtonpost.com/business/2025/07/15/schiff-trump-mortgage-fraud/
http://www.memeorandum.com/250715/p105#a250715p105

🇺🇦 #NowPlaying on #BBC6Music's #MaryAnneHobbs
Lip Critic:
🎵 Second Life
#LipCritic
#newRelease 🆕 single
https://lipcritic.bandcamp.com/album/mirror-match-second-life
https://open.spotify.com/track/6uRp0phyIJbLCYcefThba2

Trump nominates Bureau of Labor Statistics critic to replace fired agency head (Lauren Kaori Gurley/Washington Post)
https://www.washingtonpost.com/business/2025/08/11/trump-bls-nomination-antoni/
http://www.memeorandum.com/250811/p117#a250811p117

Trump threatens to revoke US citizenship of longtime critic Rosie O'Donnell (Giselle Ruhiyyih Ewing/Politico)
https://www.politico.com/news/2025/07/12/trump-revoke-citizenship-rosie-odonnell-00449920
http://www.memeorandum.com/250712/p38#a250712p38

TLE-Based A2C Agent for Terrestrial Coverage Orbital Path Planning
Anantha Narayanan, Battu Bhanu Teja, Pruthwik Mishra
https://arxiv.org/abs/2508.10872 https://

TLE-Based A2C Agent for Terrestrial Coverage Orbital Path Planning
The increasing congestion of Low Earth Orbit (LEO) poses persistent challenges to the efficient deployment and safe operation of Earth observation satellites. Mission planners must now account not only for mission-specific requirements but also for the increasing collision risk with active satellites and space debris. This work presents a reinforcement learning framework using the Advantage Actor-Critic (A2C) algorithm to optimize satellite orbital parameters for precise terrestrial coverage wi…

Replaced article(s) found for eess.SY. https://arxiv.org/list/eess.SY/new
[1/1]:
- Self-Tuning PID Control via a Hybrid Actor-Critic-Based Neural Structure for Quadcopter Control
Iman Sharifi, Aria Alasty

CRADLE: Conversational RTL Design Space Exploration with LLM-based Multi-Agent Systems
Lukas Krupp, Maximilian Sch\"offel, Elias Biehl, Norbert Wehn
https://arxiv.org/abs/2508.08709

CRADLE: Conversational RTL Design Space Exploration with LLM-based Multi-Agent Systems
This paper presents CRADLE, a conversational framework for design space exploration of RTL designs using LLM-based multi-agent systems. Unlike existing rigid approaches, CRADLE enables user-guided flows with internal self-verification, correction, and optimization. We demonstrate the framework with a generator-critic agent system targeting FPGA resource minimization using state-of-the-art LLMs. Experimental results on the RTLLM benchmark show that CRADLE achieves significant reductions in resou…

Towards Ultra-Reliable 6G in-X Subnetworks: Dynamic Link Adaptation by Deep Reinforcement Learning
Fateme Salehi, Aamir Mahmood, Sarder Fakhrul Abedin, Kyi Thar, Mikael Gidlund
https://arxiv.org/abs/2507.12031

Towards Ultra-Reliable 6G in-X Subnetworks: Dynamic Link Adaptation by Deep Reinforcement Learning
6G networks are composed of subnetworks expected to meet ultra-reliable low-latency communication (URLLC) requirements for mission-critical applications such as industrial control and automation. An often-ignored aspect in URLLC is consecutive packet outages, which can destabilize control loops and compromise safety in in-factory environments. Hence, the current work proposes a link adaptation framework to support extreme reliability requirements using the soft actor-critic (SAC)-based deep rei…

Deep Reinforcement Learning-Based Motion Planning and PDE Control for Flexible Manipulators
Amir Hossein Barjini, Seyed Adel Alizadeh Kolagar, Sadeq Yaqubi, Jouni Mattila
https://arxiv.org/abs/2506.08639

Deep Reinforcement Learning-Based Motion Planning and PDE Control for Flexible Manipulators
This article presents a motion planning and control framework for flexible robotic manipulators, integrating deep reinforcement learning (DRL) with a nonlinear partial differential equation (PDE) controller. Unlike conventional approaches that focus solely on control, we demonstrate that the desired trajectory significantly influences endpoint vibrations. To address this, a DRL motion planner, trained using the soft actor-critic (SAC) algorithm, generates optimized trajectories that inherently …

Joint Beamforming with Extremely Large Scale RIS: A Sequential Multi-Agent A2C Approach
Zhi Chai, Jiajie Xu, Justin P Coon, Mohamed-Slim Alouini
https://arxiv.org/abs/2506.10815

Joint Beamforming with Extremely Large Scale RIS: A Sequential Multi-Agent A2C Approach
It is a challenging problem to jointly optimize the base station (BS) precoding matrix and the reconfigurable intelligent surface (RIS) phases simultaneously in a RIS-assisted multiple-user multiple-input-multiple-output (MU-MIMO) scenario when the size of the RIS becomes extremely large. In this paper, we propose a deep reinforcement learning algorithm called sequential multi-agent advantage actor-critic (A2C) to solve this problem. In addition, the discrete phase of RISs, imperfect channel st…