Learning to Undo: Rollback-Augmented Reinforcement Learning with Reversibility Signals

Andrejs Sorstkins, Omer Tariq, Muhammad Bilal

This paper proposes a reversible learning framework to improve the robustness and efficiency of value based Reinforcement Learning agents, addressing vulnerability to value overest…