2021
Decoupling Exploration and Exploitation for Meta-Reinforcement Learning without Sacrifices
ICML 2021spotlight
The goal of meta-reinforcement learning (meta-RL) is to build agents that can quickly learn new tasks by leveraging prior experience on related tasks. Learning a new task often requires both exploring to gather task-relevant information and exploiting this information to solve the task. In principle…