Learning to Play in a Day: Faster Deep Reinforcement Learning by Optimality Tightening

Frank S. He, Yang Liu, Alexander G. Schwing +1

We propose a novel training algorithm for reinforcement learning which combines the strength of deep Q-learning with a constrained optimization approach to tighten optimality and e…