Learning to Adapt in Dynamic, Real-World Environments Through Meta-Reinforcement Learning

Anusha Nagabandi, Ignasi Clavera, Simin Liu +4

Although reinforcement learning methods can achieve impressive results in simulation, the real world presents two major challenges: generating samples is exceedingly expensive, and…