Self-correcting Reward Shaping via Language Models for Reinforcement Learning Agents in Games

António Afonso, Iolanda Leite, Alessandro Sestini +3

Reinforcement Learning (RL) in games has gained significant momentum in recent years, enabling the creation of different agent behaviors that can transform a player's gaming experi…