Off-Policy Reinforcement Learning with Delayed Rewards

Beining Han, Zhizhou Ren, Zuofan Wu +2

We study deep reinforcement learning (RL) algorithms with delayed rewards. In many real-world tasks, instant rewards are often not readily accessible or even defined immediately af…