Tootfinder

❓ Bei #Python denkst Du an einen fiesen Schlangenbiss und nicht an quantitative Geisteswissenschaften?
🔜 Melde Dich an für den Workshop "Python 101" am 24.09.2025 beim NFDI4Culture Community Plenary in Mainz und werde vertraut mit den Grundlagen des Programmierens!
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Opendoor's new chairman Keith Rabois says "I don't know what most" of its 1400 employees do and the company doesn't need "more than 200 of them" (Annie Palmer/CNBC)
https://www.cnbc.com/2025/09/12/opendoors-

Opendoor board chair Rabois says company is 'bloated,' needs to cut 85% of workforce
Keith Rabois was named chairman of Opendoor this week and the company, which he co-founded, hired former Shopify executive Kaz Nejatian as its new CEO.

Eindrücke von jungen Frauen in der Kommunalpolitik
https://www.kn-online.de/lokales/ploen/junge-frauen-im-ploener-kreistag-der-ton-wird-immer-respektloser-XHU4LK4OIVH4RBUVPBGERUKQAY.html

Junge Kommunalpolitikerinnen: „Der Ton wird immer respektloser“
Kommunalpolitik hat ein verstaubtes Image. Zwei junge Kreistagsabgeordnete erzählen, warum die Kommunalpolitik ein toller Ort ist, um etwas zu bewegen – berichten aber auch von Hürden und sogar Morddrohungen.

Trump Nemesis Is Bringing Epstein Victims to Capitol to Push for Files Release (Ewan Palmer/The Daily Beast)
https://www.thedailybeast.com/donald-trump-nemesis-thomas-massie-is-bringing-jeffrey-epstein-victims-to-capitol-to-push-for-files-release/
http://www.memeorandum.com/250812/p149#a250812p149

CLF-RL: Control Lyapunov Function Guided Reinforcement Learning
Kejun Li, Zachary Olkin, Yisong Yue, Aaron D. Ames
https://arxiv.org/abs/2508.09354 https://

CLF-RL: Control Lyapunov Function Guided Reinforcement Learning
Reinforcement learning (RL) has shown promise in generating robust locomotion policies for bipedal robots, but often suffers from tedious reward design and sensitivity to poorly shaped objectives. In this work, we propose a structured reward shaping framework that leverages model-based trajectory generation and control Lyapunov functions (CLFs) to guide policy learning. We explore two model-based planners for generating reference trajectories: a reduced-order linear inverted pendulum (LIP) mode…

Sources: Polymarket considers an offer valuing it at ~$9B, up from $1B in the summer; Kalshi is close to raising money at a $5B valuation, up from $2B in June (The Information)
https://www.theinformation.com/articles/pr

Prediction Startup Polymarket Fields Offer for $9 Billion Valuation; Kalshi Nears $5 Billion Financing
Startups that enable people to bet on events such as the New York mayoral race, NFL games and the Federal Reserve rate decisions are in talks to raise more money at multi-billion-dollar valuations, as trading volume and rivalry between the two apps intensifies. Polymarket has considered an offer ...

🛠️ Forschungsdatenmanagementpläne und Terminologyservices sind Dein Ding oder sollen es werden?
Melde Dich für den Base4NFDI-Workshop am 24.09.2025 beim NFDI4Culture Community Plenary in Mainz an!
📄 Programm: https://nfdi4culture.de/id/E6338
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❓ Kennst Du den Ökologischen Fußabdruck Deiner Forschungsdaten?
🌎 "DMPs for Environmentally Friendly RDM" sucht nach Verbesserungen der ökologischen Nachhaltigkeit im Forschungsdatenmanagement beim Workshop am 24.09.2025 auf dem NFDI4Culture Community Plenary in Mainz.
📄 Programm: https://nfdi4culture.de/id/E6338…

Forecast-Driven MPC for Decentralized Multi-Robot Collision Avoidance
Hadush Hailu, Bruk Gebregziabher, Prudhvi Raj
https://arxiv.org/abs/2508.08264 https://

Forecast-Driven MPC for Decentralized Multi-Robot Collision Avoidance
The Iterative Forecast Planner (IFP) is a geometric planning approach that offers lightweight computations, scal- able, and reactive solutions for multi-robot path planning in decentralized, communication-free settings. However, it struggles in symmetric configurations, where mirrored interactions often lead to collisions and deadlocks. We introduce eIFP-MPC, an optimized and extended version of IFP that improves robustness and path consistency in dense, dynamic environments. The method refines…

DAgger Diffusion Navigation: DAgger Boosted Diffusion Policy for Vision-Language Navigation
Haoxiang Shi, Xiang Deng, Zaijing Li, Gongwei Chen, Yaowei Wang, Liqiang Nie
https://arxiv.org/abs/2508.09444

DAgger Diffusion Navigation: DAgger Boosted Diffusion Policy for Vision-Language Navigation
Vision-Language Navigation in Continuous Environments (VLN-CE) requires agents to follow natural language instructions through free-form 3D spaces. Existing VLN-CE approaches typically use a two-stage waypoint planning framework, where a high-level waypoint predictor generates the navigable waypoints, and then a navigation planner suggests the intermediate goals in the high-level action space. However, this two-stage decomposition framework suffers from: (1) global sub-optimization due to the p…