2 papers
cs.LG2025
Federated Reinforcement Learning in Heterogeneous Environments
Ukjo Hwang, Songnam Hong
We investigate a Federated Reinforcement Learning with Environment Heterogeneity (FRL-EH) framework, where local environments exhibit statistical heterogeneity. Within this framewo…
cs.LG2025
Moderate Actor-Critic Methods: Controlling Overestimation Bias via Expectile Loss
Ukjo Hwang, Songnam Hong
Overestimation is a fundamental characteristic of model-free reinforcement learning (MF-RL), arising from the principles of temporal difference learning and the approximation of th…