Summary of Assessing the Zero-shot Capabilities Of Llms For Action Evaluation in Rl, by Eduardo Pignatelli et al.
Assessing the Zero-Shot Capabilities of LLMs for Action Evaluation in RLby Eduardo Pignatelli, Johan Ferret,…
Summary of The Central Role Of the Loss Function in Reinforcement Learning, by Kaiwen Wang et al.
The Central Role of the Loss Function in Reinforcement Learningby Kaiwen Wang, Nathan Kallus, Wen…
Summary of Putting Data at the Centre Of Offline Multi-agent Reinforcement Learning, by Claude Formanek et al.
Putting Data at the Centre of Offline Multi-Agent Reinforcement Learningby Claude Formanek, Louise Beyers, Callum…
Summary of Qwen2.5-math Technical Report: Toward Mathematical Expert Model Via Self-improvement, by An Yang et al.
Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvementby An Yang, Beichen Zhang, Binyuan Hui,…
Summary of Almost Sure Convergence Of Linear Temporal Difference Learning with Arbitrary Features, by Jiuqi Wang and Shangtong Zhang
Almost Sure Convergence of Linear Temporal Difference Learning with Arbitrary Featuresby Jiuqi Wang, Shangtong ZhangFirst…
Summary of Optimizing Job Shop Scheduling in the Furniture Industry: a Reinforcement Learning Approach Considering Machine Setup, Batch Variability, and Intralogistics, by Malte Schneevogt et al.
Optimizing Job Shop Scheduling in the Furniture Industry: A Reinforcement Learning Approach Considering Machine Setup,…
Summary of Preference Tuning with Human Feedback on Language, Speech, and Vision Tasks: a Survey, by Genta Indra Winata et al.
Preference Tuning with Human Feedback on Language, Speech, and Vision Tasks: A Surveyby Genta Indra…
Summary of Harp: Human-assisted Regrouping with Permutation Invariant Critic For Multi-agent Reinforcement Learning, by Huawen Hu et al.
HARP: Human-Assisted Regrouping with Permutation Invariant Critic for Multi-Agent Reinforcement Learningby Huawen Hu, Enze Shi,…
Summary of A Reinforcement Learning Environment For Automatic Code Optimization in the Mlir Compiler, by Nazim Bendib et al.
A Reinforcement Learning Environment for Automatic Code Optimization in the MLIR Compilerby Nazim Bendib, Iheb…
Summary of Reinforcement Learning with Quasi-hyperbolic Discounting, by S.r. Eshwar et al.
Reinforcement Learning with Quasi-Hyperbolic Discountingby S.R. Eshwar, Mayank Motwani, Nibedita Roy, Gugan ThoppeFirst submitted to…