2026
Counterfactual Bootstrap for Robust Meta-Reinforcement Learning
ICML 2026poster
Meta-Reinforcement Learning (Meta-RL) focuses on training policies using data collected from a variety of diverse environments. This approach enables the policy to adapt to new settings with only a few training steps. While many Meta-RL methods have demonstrated success, they often rely on the assum…