Reinforcement Learning in Robotics

Latest papers

• Efficient Fairness-Performance Pareto Front Computation

  Mark Kozdoba, Binyamin Perets, Shie Mannor · 27 October 2025

• Interpret Policies in Deep Reinforcement Learning using SILVER with RL-Guided Labeling: A Model-level Approach to High-dimensional and Multi-action Environments

  Yiyu Qian, Su Nguyen, Chao Chen, Qinyue Zhou, Liyuan Zhao · 27 October 2025

• Part I: Tricks or Traps? A Deep Dive into RL for LLM Reasoning

  Zihe Liu, Jiashun Liu, Yancheng He, Weixun Wang, Jiaheng Liu, Ling Pan, Xinyu Hu, Shaopan Xiong, Ju Huang, Jian Hu, Shengyi Huang, Siran Yang, Jiamang Wang, Wenbo Su, Bo Zheng · 27 October 2025

• Risk-Averse Total-Reward Reinforcement Learning

  Xihong Su, Jia Lin Hau, Gersi Doko, Kishan Panaganti, Marek Petrik · 27 October 2025

• A Smooth Sea Never Made a Skilled SAILOR: Robust Imitation via Learning to Search

  Arnav Kumar Jain, Vibhakar Mohta, Subin Kim, Atiksh Bhardwaj, Juntao Ren, Yunhai Feng, Sanjiban Choudhury, Gokul Swamy · 27 October 2025

• Prior-Guided Diffusion Planning for Offline Reinforcement Learning

  Donghyeon Ki, JunHyeok Oh, Seong-Woong Shim, Byung-Jun Lee · 27 October 2025

• Planning and Learning in Average Risk-aware MDPs

  Weikai Wang, Erick Delage · 27 October 2025

• Unified token representations for sequential decision models

  Zhuojing Tian, Yushu Chen · 27 October 2025

• Mixture-of-Minds: Multi-Agent Reinforcement Learning for Table Understanding

  Yuhang Zhou, Mingrui Zhang, Ke Li, Mingyi Wang, Qiao Liu, Qifei Wang, Jiayi Liu, Fei Liu, Serena Li, Weiwei Li, Mingze Gao, Abhishek Kumar, Xiangjun Fan, Zhuokai Zhao, Lizhu Zhang · 27 October 2025

• Reinforcement Learning with Action Chunking

  Qiyang Li, Zhiyuan Zhou, Sergey Levine · 27 October 2025

• ReDit: Reward Dithering for Improved LLM Policy Optimization

  Chenxing Wei, Jiarui Yu, Ying Tiffany He, Hande Dong, Yao Shu, Fei Yu · 27 October 2025

• Mind the GAP! The Challenges of Scale in Pixel-based Deep Reinforcement Learning

  Ghada Sokar, Pablo Samuel Castro · 27 October 2025

• Model Selection for Off-policy Evaluation: New Algorithms and Experimental Protocol

  Pai Liu, Lingfeng Zhao, Shivangi Agarwal, Jinghan Liu, Audrey Huang, Philip Amortila, Nan Jiang · 27 October 2025

• HypRL: Reinforcement Learning of Control Policies for Hyperproperties

  Tzu-Han Hsu, Arshia Rafieioskouei, Borzoo Bonakdarpour · 27 October 2025

• DreamerV3-XP: Optimizing exploration through uncertainty estimation

  Lukas Bierling, Davide Pasero, Jan-Henrik Bertrand, Kiki Van Gerwen · 27 October 2025

• Generalizable Hierarchical Skill Learning via Object-Centric Representation

  Haibo Zhao, Yu Qi, Boce Hu, Yizhe Zhu, Ziyan Chen, Heng Tian, Xupeng Zhu, Owen Howell, Haojie Huang, Robin Walters, Dian Wang, Robert Platt · 27 October 2025

• ESCORT: Efficient Stein-variational and Sliced Consistency-Optimized Temporal Belief Representation for POMDPs

  Yunuo Zhang, Baiting Luo, Ayan Mukhopadhyay, Gabor Karsai, Abhishek Dubey · 27 October 2025

• Self-Rewarding PPO: Aligning Large Language Models with Demonstrations Only

  Qingru Zhang, Liang Qiu, Ilgee Hong, Zhenghao Xu, Tianyi Liu, Shiyang Li, Rongzhi Zhang, Zheng Li, Lihong Li, Bing Yin, Chao Zhang, Jianshu Chen, Haoming Jiang, Tuo Zhao · 27 October 2025

• On the Sample Complexity of Differentially Private Policy Optimization

  Yi He, Xingyu Zhou · 27 October 2025

• Confounding Robust Deep Reinforcement Learning: A Causal Approach

  Mingxuan Li, Junzhe Zhang, Elias Bareinboim · 27 October 2025