Tootfinder

@… @… well, unless people attempt to develop some level of sophistication, efficiency turns into greed, because thoughtless accumulation is the easiest thing to do. This is reinforced by a social environment where chronic accumulators are considered successful by chr…

Deep Reinforcement Learning Based Toolpath Generation for Thermal Uniformity in Laser Powder Bed Fusion Process
Mian Qin, Junhao Ding, Shuo Qu, Xu Song, Charlie C. L. Wang, Wei-Hsin Liao
https://arxiv.org/abs/2404.07209

Deep Reinforcement Learning Based Toolpath Generation for Thermal Uniformity in Laser Powder Bed Fusion Process
Laser powder bed fusion (LPBF) is a widely used metal additive manufacturing technology. However, the accumulation of internal residual stress during printing can cause significant distortion and potential failure. Although various scan patterns have been studied to reduce possible accumulated stress, such as zigzag scanning vectors with changing directions or a chessboard-based scan pattern with divided small islands, most conventional scan patterns cannot significantly reduce residual stress.…

Prosecutor aims to show Trump at center of personal and company finances as Trump Organization controller testifies – live
Trump lawyer McConney acknowledged that Cohen’s reimbursement for $180,000
– which prosecutors allege was falsely recorded as “legal expenses”
– was the only expense in his roughly 35 years at Trump Org he knew of that was grossed up for tax purposes.

This https://arxiv.org/abs/2311.03628 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Reinforcement Twinning: from digital twins to model-based reinforcement learning
We propose a novel framework for simultaneously training the digital twin of an engineering system and an associated control agent. The training of the twin combines methods from adjoint-based data assimilation and system identification, while the training of the control agent combines model-based optimal control and model-free reinforcement learning. The training of the control agent is achieved by letting it evolve independently along two paths: one driven by a model-based optimal control and…

Depending on yourself when you should: Mentoring LLM with RL agents to become the master in cybersecurity games
Yikuan Yan, Yaolun Zhang, Keman Huang
https://arxiv.org/abs/2403.17674

Depending on yourself when you should: Mentoring LLM with RL agents to become the master in cybersecurity games
Integrating LLM and reinforcement learning (RL) agent effectively to achieve complementary performance is critical in high stake tasks like cybersecurity operations. In this study, we introduce SecurityBot, a LLM agent mentored by pre-trained RL agents, to support cybersecurity operations. In particularly, the LLM agent is supported with a profile module to generated behavior guidelines, a memory module to accumulate local experiences, a reflection module to re-evaluate choices, and an action m…