2 papers
cs.LG2026
Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis
Zachary Roch, George Atia, Yue Wang
Robust reinforcement learning (RL) under the average-reward criterion is essential for long-term decision-making, particularly when the environment may differ from its training dyn…
cs.LG2025
Pessimism Principle Can Be Effective: Towards a Framework for Zero-Shot Transfer Reinforcement Learning
Chi Zhang, Ziying Jia, George K. Atia +2
Transfer reinforcement learning aims to derive a near-optimal policy for a target environment with limited data by leveraging abundant data from related source domains. However, it…