2024
MAMBA: an Effective World Model Approach for Meta-Reinforcement Learning
ICLR 2024poster
Meta-reinforcement learning (meta-RL) is a promising framework for tackling challenging domains requiring efficient exploration. Existing meta-RL algorithms are characterized by low sample efficiency, and mostly focus on low-dimensional task distributions. In parallel, model-based RL methods have be…