Summary of Efficient Multi-agent Reinforcement Learning by Planning, By Qihan Liu et al.
Efficient Multi-agent Reinforcement Learning by Planningby Qihan Liu, Jianing Ye, Xiaoteng Ma, Jun Yang, Bin…
Summary of Reward-punishment Reinforcement Learning with Maximum Entropy, by Jiexin Wang and Eiji Uchibe
Reward-Punishment Reinforcement Learning with Maximum Entropyby Jiexin Wang, Eiji UchibeFirst submitted to arxiv on: 20…
Summary of Do No Harm: a Counterfactual Approach to Safe Reinforcement Learning, by Sean Vaskov et al.
Do No Harm: A Counterfactual Approach to Safe Reinforcement Learningby Sean Vaskov, Wilko Schwarting, Chris…
Summary of Large Language Models Are Biased Reinforcement Learners, by William M. Hayes et al.
Large Language Models are Biased Reinforcement Learnersby William M. Hayes, Nicolas Yax, Stefano PalminteriFirst submitted…
Summary of On Robust Reinforcement Learning with Lipschitz-bounded Policy Networks, by Nicholas H. Barbara et al.
On Robust Reinforcement Learning with Lipschitz-Bounded Policy Networksby Nicholas H. Barbara, Ruigang Wang, Ian R.…
Summary of Comparisons Are All You Need For Optimizing Smooth Functions, by Chenyi Zhang and Tongyang Li
Comparisons Are All You Need for Optimizing Smooth Functionsby Chenyi Zhang, Tongyang LiFirst submitted to…
Summary of Generalized Multi-objective Reinforcement Learning with Envelope Updates in Urllc-enabled Vehicular Networks, by Zijiang Yan et al.
Generalized Multi-Objective Reinforcement Learning with Envelope Updates in URLLC-enabled Vehicular Networksby Zijiang Yan, Hina TabassumFirst…
Summary of Towards Robust Policy: Enhancing Offline Reinforcement Learning with Adversarial Attacks and Defenses, by Thanh Nguyen et al.
Towards Robust Policy: Enhancing Offline Reinforcement Learning with Adversarial Attacks and Defensesby Thanh Nguyen, Tung…
Summary of The Power Of Active Multi-task Learning in Reinforcement Learning From Human Feedback, by Ruitao Chen et al.
The Power of Active Multi-Task Learning in Reinforcement Learning from Human Feedbackby Ruitao Chen, Liwei…
Summary of Simulation-based Benchmarking Of Reinforcement Learning Agents For Personalized Retail Promotions, by Yu Xia et al.
Simulation-Based Benchmarking of Reinforcement Learning Agents for Personalized Retail Promotionsby Yu Xia, Sriram Narayanamoorthy, Zhengyuan…