Hierarchical Prompt Decision Transformer: Improving Few-Shot Policy Generalization with Global and Adaptive Guidanceby Zhe Wang,…
Provable Partially Observable Reinforcement Learning with Privileged Informationby Yang Cai, Xiangyu Liu, Argyris Oikonomou, Kaiqing…
Decision Transformer vs. Decision Mamba: Analysing the Complexity of Sequential Decision Making in Atari Gamesby Ke…
Combinatorial Rising Banditby Seockbean Song, Youngsik Yoon, Siwei Wang, Wei Chen, Jungseul OkFirst submitted to…
Online Poisoning Attack Against Reinforcement Learning under Black-box Environmentsby Jianhui Li, Bokang Zhang, Junfeng WuFirst…
Towards Fault Tolerance in Multi-Agent Reinforcement Learningby Yuchen Shi, Huaxin Pei, Liang Feng, Yi Zhang,…
Mean-Field Sampling for Cooperative Multi-Agent Reinforcement Learningby Emile Anand, Ishani Karmarkar, Guannan QuFirst submitted to…
BOTS: Batch Bayesian Optimization of Extended Thompson Sampling for Severely Episode-Limited RL Settingsby Karine Karine,…
CAREL: Instruction-guided reinforcement learning with cross-modal auxiliary objectivesby Armin Saghafian, Amirmohammad Izadi, Negin Hashemi Dijujin,…
RL-MILP Solver: A Reinforcement Learning Approach for Solving Mixed-Integer Linear Programs with Graph Neural Networksby…