Meta Reinforcement Learning for Sim-to-real Domain Adaptation

Karol Arndt, Murtaza Hazara, Ali Ghadirzadeh +1

Modern reinforcement learning methods suffer from low sample efficiency and unsafe exploration, making it infeasible to train robotic policies entirely on real hardware. In this wo…