Enabling Trajectory Forgetting in Offline Reinforcement Learning Agents

The core message of this paper is to propose TRAJDELETER, the first practical approach to enable offline reinforcement learning agents to rapidly and completely eliminate the influence of specific trajectories from both the training dataset and the trained agents.