Yunchuan Zhang

DASP: Hierarchical Offline Reinforcement Learning via Diffusion Autodecoder and Skill Primitive

Offline reinforcement learning strives to enable agents to effectively utilize pre-collected offline datasets for learning. Such an offline setup tremendously mitigates the problems of online reinforcement learning algorithms in real-world applications, particularly in scenarios where interactions a