Reinforcement Learning from Real-Robot Interaction without High-Quality State Estimates

Ryan Gao, Ashvin Anilkumar, Nicholas Corrado +2

A longstanding goal for robot reinforcement learning (RL) is that robots learn from their own physical experience, as humans and animals do. A key obstacle to learning directly fro…