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cs.LG2023★ 1 cited
Guiding Online Reinforcement Learning with Action-Free Offline Pretraining
Deyao Zhu, Yuhui Wang, Jürgen Schmidhuber +1
Offline RL methods have been shown to reduce the need for environment interaction by training agents using offline collected episodes. However, these methods typically require acti…
cs.LG2022
Value Memory Graph: A Graph-Structured World Model for Offline Reinforcement Learning
Deyao Zhu, Li Erran Li, Mohamed Elhoseiny
Reinforcement Learning (RL) methods are typically applied directly in environments to learn policies. In some complex environments with continuous state-action spaces, sparse rewar…