Reinforcement Learning from Bagged Rewardby Yuting Tang, Xin-Qiang Cai, Yao-Xiang Ding, Qiyu Wu, Guoqing Liu,…
No-Regret Reinforcement Learning in Smooth MDPsby Davide Maran, Alberto Maria Metelli, Matteo Papini, Marcello RestellFirst…
SEABO: A Simple Search-Based Method for Offline Imitation Learningby Jiafei Lyu, Xiaoteng Ma, Le Wan,…
Transductive Reward Inference on Graphby Bohao Qu, Xiaofeng Cao, Qing Guo, Yi Chang, Ivor W.…
Logical Specifications-guided Dynamic Task Sampling for Reinforcement Learning Agentsby Yash Shukla, Tanushree Burman, Abhishek Kulkarni,…
SUB-PLAY: Adversarial Policies against Partially Observed Multi-Agent Reinforcement Learning Systemsby Oubo Ma, Yuwen Pu, Linkang…
Diffusion World Model: Future Modeling Beyond Step-by-Step Rollout for Offline Reinforcement Learningby Zihan Ding, Amy…
A Reinforcement Learning Approach for Dynamic Rebalancing in Bike-Sharing Systemby Jiaqi Liang, Sanjay Dominik Jena,…
Assessing the Impact of Distribution Shift on Reinforcement Learning Performanceby Ted Fujimoto, Joshua Suetterlein, Samrat…
DRED: Zero-Shot Transfer in Reinforcement Learning via Data-Regularised Environment Designby Samuel Garcin, James Doran, Shangmin…