opendilab/awesome-decision-transformer
A curated collection of research papers and resources on Decision Transformer, a sequence-modeling approach to offline reinforcement learning.
★903 stars Learning

Velocity · 7d
+0.6
★ / day
Trend
→steady
star history
This repository maintains an organized taxonomy and bibliography of Decision Transformer research, covering papers from major ML/RL venues (NeurIPS, ICML, ICLR, ICRA, CoRL, IROS, AAAI) dating back to 2021. It categorizes algorithms and surveys to help researchers track developments in this transformer-based RL paradigm.