2022
Bootstrapped Transformer for Offline Reinforcement Learning
NeurIPS 2022accept
Offline reinforcement learning (RL) aims at learning policies from previously collected static trajectory data without interacting with the real environment. Recent works provide a novel perspective by viewing offline RL as a generic sequence generation problem, adopting sequence models such as Tran…