pyboy

Playing Pokemon Red using TypeSafe Jev

Autonomous Pokémon Red agent using local Qwen3-VL and PyBoy. Zero API calls, zero cost, pure local VLM reasoning and computer vision.

Gameboy (Color) Environments in Gymnasium.

Super Mario Land Reinforcement Learning with Pufferlib

Local Pokemon Red LLM-agent harness with live gameplay UI, structured traces, save states, replay, and turn-by-turn agent observability.

🎮🌟A Reinforcement Learning (RL) project using Double Deep Q-Network (DDQN) to train an agent to play Kirby's Dreamland.

Work in progress: agents playing the real Pokémon Blue ROM on PyBoy, with every badge, catch and evolution verified in cartridge RAM.

ZeDMD-compatible network DMD for Raspberry Pi — drives S-PWM HUB75 panels (FM6373 and similar) that ZeDMD cannot, and between games it stays a living-room display: clock, flight radar, ISS pass alerts, now playing, calendar, Doom and Game Boy, with two-way Home Assistant integration over MQTT

Explores reinforcement learning and its core algorithms through a PyBoy-emulated instance of Pokémon Blue.

PPO reinforcement-learning agents that learn to play classic games from scratch - DOOM, Pokemon Red, and Street Fighter II - one standalone trainer per branch. Experimental R&D; bring your own ROMs.

A real fruit fly connectome (MaleCNS v1.0, 166,700 neurons) running inside Pokémon Red via PyBoy

PyBoyとGBDK(GameBoy Developers Kit)の例

Hold-aware DQN training for Pandora's Blocks through PyBoy

A learning experiment exploring how to teach an AI model how to play the game Tetris for GameBoy using StableBaselines3 and PyBoy.

Twitch-plays-Pokemon style bot for Slack using PyBoy

An AI agent for Street Fighter that uses reinforcement learning to improve through repeated matches, adapting its actions and strategies based on gameplay experience.

Completed reproducible Pokémon Red study: 8.24M self-generated actions reached Route 1, but frozen evaluation found zero durable skills.

A fixed agent harness for Pokémon Red where the model is the only variable: same tools, memory, prompt and observation format across 5 models from 4 vendors, turn-matched and eval-integrity gated. Live leaderboard with per-seed spreads and every exclusion.

AI Gym environment for Castlevania: The Adventure (Game Boy), using the PyBoy emulator.

An LLM that plays Pokémon Red by reasoning over structured game state, using an MCP server on the PyBoy emulator with memory readers, a world model built from the pokered disassembly, and pathfinding.