The YGO-Agent framework allows researchers and enthusiasts to develop AI bots that play the Yu-Gi-Oh card game using reinforcement learning. It wraps the YGOPRO game simulator into an OpenAI Gym-compatible environment, defining state representations such as hand, field, and life points, and action representations including summoning, spell/trap activation, and attacking. Rewards are based on win/loss outcomes, damage dealt, and game progress. The agent architecture uses PyTorch to implement DQN, with options for custom network architectures, experience replay, and epsilon-greedy exploration. Logging modules record training curves, win rates, and detailed move logs for analysis. The framework is modular, enabling users to replace or extend components such as the reward function or action space.

BotLab is a platform designed to support the creation and deployment of bots to play video games. It enables users to simulate game clients and run automated tasks, providing a safe environment to explore bot development. Users can record logs, navigate through play sessions, and collaborate within a community of bot developers. BotLab’s interface makes it easy to manage and test bots, whether for personal use or competitive advantage in games.

Loreweaver is an AI-driven Discord bot that generates text-based RPG (Role-Playing Game) adventures. It allows users to embark on epic quests, craft unique worlds, and play various types of RPGs. With simple commands, you can create and personalize your own stories or join friends in a multiplayer format. The bot offers endless unique playthroughs, ensuring a fresh experience each time. It also features a cost-effective system where larger parties save more, encouraging teamwork. Loreweaver integrates seamlessly with Discord, providing a convenient and engaging platform for both novice and experienced RPG enthusiasts.