Reinforcement Learning Environment with LLM-Controlled Adversary in D&D 5th Edition Combat

Joseph Emmanuel DL Dayo, Michel Onasis S. Ogbinar, Prospero C. Naval

The objective of this study is to design and implement a reinforcement learning (RL) environment using D\&D 5E combat scenarios to challenge smaller RL agents through interaction w…