Summary of Spectral-risk Safe Reinforcement Learning with Convergence Guarantees, by Dohyeong Kim et al.
Spectral-Risk Safe Reinforcement Learning with Convergence Guaranteesby Dohyeong Kim, Taehyun Cho, Seungyub Han, Hojun Chung,…
Summary of Preferred-action-optimized Diffusion Policies For Offline Reinforcement Learning, by Tianle Zhang et al.
Preferred-Action-Optimized Diffusion Policies for Offline Reinforcement Learningby Tianle Zhang, Jiayi Guan, Lin Zhao, Yihang Li,…
Summary of Kernel Metric Learning For In-sample Off-policy Evaluation Of Deterministic Rl Policies, by Haanvid Lee et al.
Kernel Metric Learning for In-Sample Off-Policy Evaluation of Deterministic RL Policiesby Haanvid Lee, Tri Wahyu…
Summary of Policy Zooming: Adaptive Discretization-based Infinite-horizon Average-reward Reinforcement Learning, by Avik Kar and Rahul Singh
Policy Zooming: Adaptive Discretization-based Infinite-Horizon Average-Reward Reinforcement Learningby Avik Kar, Rahul SinghFirst submitted to arxiv…
Summary of Federated Q-learning with Reference-advantage Decomposition: Almost Optimal Regret and Logarithmic Communication Cost, by Zhong Zheng et al.
Federated Q-Learning with Reference-Advantage Decomposition: Almost Optimal Regret and Logarithmic Communication Costby Zhong Zheng, Haochen…
Summary of Dtr-bench: An in Silico Environment and Benchmark Platform For Reinforcement Learning Based Dynamic Treatment Regime, by Zhiyao Luo et al.
DTR-Bench: An in silico Environment and Benchmark Platform for Reinforcement Learning Based Dynamic Treatment Regimeby…
Summary of Efficient Preference-based Reinforcement Learning Via Aligned Experience Estimation, by Fengshuo Bai et al.
Efficient Preference-based Reinforcement Learning via Aligned Experience Estimationby Fengshuo Bai, Rui Zhao, Hongming Zhang, Sijia…
Summary of Offline-boosted Actor-critic: Adaptively Blending Optimal Historical Behaviors in Deep Off-policy Rl, by Yu Luo et al.
Offline-Boosted Actor-Critic: Adaptively Blending Optimal Historical Behaviors in Deep Off-Policy RLby Yu Luo, Tianying Ji,…
Summary of Learning Diverse Attacks on Large Language Models For Robust Red-teaming and Safety Tuning, by Seanie Lee et al.
Learning diverse attacks on large language models for robust red-teaming and safety tuningby Seanie Lee,…
Summary of Reinforcement Learning in Dynamic Treatment Regimes Needs Critical Reexamination, by Zhiyao Luo et al.
Reinforcement Learning in Dynamic Treatment Regimes Needs Critical Reexaminationby Zhiyao Luo, Yangchen Pan, Peter Watkinson,…