Playing Pokemon Red using TypeSafe Jev
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Updated
Sep 18, 2026 - Python
Playing Pokemon Red using TypeSafe Jev
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
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.
Explores reinforcement learning and its core algorithms through a PyBoy-emulated instance of Pokémon Blue.
ROM-free OpenRappter agent for a local Copilot-powered Pokemon Red playthrough with PyBoy
AI Gym environment for Castlevania: The Adventure (Game Boy), using the PyBoy emulator.
Hold-aware DQN training for Pandora's Blocks through 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 real fruit fly connectome (MaleCNS v1.0, 166,700 neurons) running inside Pokémon Red via PyBoy
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.
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