Summary of Policy Mirror Descent with Lookahead, by Kimon Protopapas et al.
Policy Mirror Descent with Lookaheadby Kimon Protopapas, Anas BarakatFirst submitted to arxiv on: 21 Mar…
Summary of Carbon Footprint Reduction For Sustainable Data Centers in Real-time, by Soumyendu Sarkar et al.
Carbon Footprint Reduction for Sustainable Data Centers in Real-Timeby Soumyendu Sarkar, Avisek Naug, Ricardo Luna,…
Summary of Dourn: Improving Douzero by Residual Neural Networks, By Yiquan Chen et al.
DouRN: Improving DouZero by Residual Neural Networksby Yiquan Chen, Yingchao Lyu, Di ZhangFirst submitted to…
Summary of Heuristic Algorithm-based Action Masking Reinforcement Learning (haam-rl) with Ensemble Inference Method, by Kyuwon Choi et al.
Heuristic Algorithm-based Action Masking Reinforcement Learning (HAAM-RL) with Ensemble Inference Methodby Kyuwon Choi, Cheolkyun Rho,…
Summary of Rewardbench: Evaluating Reward Models For Language Modeling, by Nathan Lambert et al.
RewardBench: Evaluating Reward Models for Language Modelingby Nathan Lambert, Valentina Pyatkin, Jacob Morrison, LJ Miranda,…
Summary of Dynamic Reward Adjustment in Multi-reward Reinforcement Learning For Counselor Reflection Generation, by Do June Min et al.
Dynamic Reward Adjustment in Multi-Reward Reinforcement Learning for Counselor Reflection Generationby Do June Min, Veronica…
Summary of Towards Principled Representation Learning From Videos For Reinforcement Learning, by Dipendra Misra et al.
Towards Principled Representation Learning from Videos for Reinforcement Learningby Dipendra Misra, Akanksha Saran, Tengyang Xie,…
Summary of Fast Value Tracking For Deep Reinforcement Learning, by Frank Shih et al.
Fast Value Tracking for Deep Reinforcement Learningby Frank Shih, Faming LiangFirst submitted to arxiv on:…
Summary of Simple Ingredients For Offline Reinforcement Learning, by Edoardo Cetin et al.
Simple Ingredients for Offline Reinforcement Learningby Edoardo Cetin, Andrea Tirinzoni, Matteo Pirotta, Alessandro Lazaric, Yann…
Summary of Equivariant Ensembles and Regularization For Reinforcement Learning in Map-based Path Planning, by Mirco Theile and Hongpeng Cao and Marco Caccamo and Alberto L. Sangiovanni-vincentelli
Equivariant Ensembles and Regularization for Reinforcement Learning in Map-based Path Planningby Mirco Theile, Hongpeng Cao,…