2 papers
cs.LG2026
DAMPER: Return-Prioritized Gradient Control for Smooth Policies
Seokmin Ko, Taewon Goo, Kihyuk Hong
Actor-critic methods achieve strong performance in continuous control, but their policies can produce highly oscillatory actions. A common remedy is to add auxiliary smoothness los…
cs.LG2026
Minimax-Optimality of Posterior Sampling for Reinforcement Learning
Taewon Goo, Kihyuk Hong
Posterior sampling for reinforcement learning (PSRL) is one of the simplest and most effective exploration methods, but a basic question has remained open: does unmodified PSRL ach…