2025
Improving Generalization in Offline Reinforcement Learning via Latent Distribution Representation Learning
AAAI 2025technical
Dealing with the distribution shift is a significant challenge when building offline reinforcement learning (RL) models that can generalize from a static dataset to out-of-distribution (OOD) scenarios. Previous approaches have employed pessimism or conservatism strategies. More recently, data-driven…