Attention-Based Reward Shaping for Sparse and Delayed Rewards

Ian Holmes, Min Chi

Sparse and delayed reward functions pose a significant obstacle for real-world Reinforcement Learning (RL) applications. In this work, we propose Attention-based REward Shaping (AR…