Beyond Static Datasets: Robust Offline Policy Optimization via Vetted Synthetic Transitions

Pedram Agand, Mo Chen

Offline Reinforcement Learning (ORL) holds immense promise for safety-critical domains like industrial robotics, where real-time environmental interaction is often prohibitive. A p…