Shaping Sparse Rewards in Reinforcement Learning: A Semi-supervised Approach

Wenyun Li, Wenjie Huang, Chen Sun

In many real-world scenarios, reward signal for agents are exceedingly sparse, making it challenging to learn an effective reward function for reward shaping. To address this issue…