Coreset-Based Task Selection for Sample-Efficient Meta-Reinforcement Learning

Donglin Zhan, Leonardo F. Toso, James Anderson

We study task selection to enhance sample efficiency in model-agnostic meta-reinforcement learning (MAML-RL). Traditional meta-RL typically assumes that all available tasks are equ…