Meta-Reinforcement Learning Robust to Distributional Shift via Model Identification and Experience Relabeling

Russell Mendonca, Xinyang Geng, Chelsea Finn +1

Reinforcement learning algorithms can acquire policies for complex tasks autonomously. However, the number of samples required to learn a diverse set of skills can be prohibitively…