The Value of Reward Lookahead in Reinforcement Learning

Nadav Merlis, Dorian Baudry, Vianney Perchet

In reinforcement learning (RL), agents sequentially interact with changing environments while aiming to maximize the obtained rewards. Usually, rewards are observed only after acti…