Offline Reinforcement Learning

Adaptive Pessimism via Target Q-Value for Offline Reinforcement Learning
Offline reinforcement learning (RL) methods learn from datasets without further environment interaction, facing errors due to …
Cite
Contextual Transformer for Offline Meta Reinforcement Learning
The pretrain-finetuning paradigm in large-scale sequence models has made significant progress in natural language processing and …
PDF Cite
Offline Pre-trained Multi-agent Decision Transformer
Offline reinforcement learning leverages previously collected offline datasets to learn optimal policies with no necessity to access …
PDF Cite