Mixture-of-Experts Meets In-Context Reinforcement Learning

Wenhao Wu, Fuhong Liu, Haoru Li +4

In-context reinforcement learning (ICRL) has emerged as a promising paradigm for adapting RL agents to downstream tasks through prompt conditioning. However, two notable challenges…