Regularized Emphatic Temporal-Difference Learning: Stability under Constant Stepsizes

A theoretical reinforcement learning paper proving stability of regularized emphatic TD learning under constant step sizes, with no direct AI risk or safety implications.

Auto-scored: Pure theoretical RL stability result with no risk or mitigation relevance.