Constrained Meta Agnostic Reinforcement Learning

Karam Daaboul, Florian Kuhm, Tim Joseph +1

Meta-Reinforcement Learning (Meta-RL) aims to acquire meta-knowledge for quick adaptation to diverse tasks. However, applying these policies in real-world environments presents a s…