Logic-based Reward Shaping for Multi-Agent Reinforcement Learning

Ingy ElSayed-Aly, Lu Feng

Reinforcement learning (RL) relies heavily on exploration to learn from its environment and maximize observed rewards. Therefore, it is essential to design a reward function that g…