2024
DiffStitch: Boosting Offline Reinforcement Learning with Diffusion-based Trajectory Stitching
ICML 2024poster
In offline reinforcement learning (RL), the performance of the learned policy highly depends on the quality of offline datasets. However, the offline dataset contains very limited optimal trajectories in many cases. This poses a challenge for offline RL algorithms, as agents must acquire the ability…