Qijie Peng

Learning Robust Representations with Long-Term Information for Generalization in Visual Reinforcement Learning

Generalization in visual reinforcement learning (VRL) aims to learn agents that can adapt to test environments with unseen visual distractions. Despite advances in robust representations learning, many methods do not take into account the essential downstream task of sequential decision-making. This…