Showing 10 of 10 projects
A reinforcement learning framework for training AI agents to play Pokémon Red using PyBoy emulation.
Industry-standard navigation-mesh generation and pathfinding toolset for games, powering AI navigation in Unity, Unreal, and Godot.
A Python framework for creating AI agents that learn to play any video game you own.
An open-source Go engine that replicates AlphaGo Zero's architecture, learning solely through self-play without human knowledge.
A C++17 library for creating flexible, reactive Behavior Trees, primarily for robotics and game AI.
A powerful Godot Engine addon for creating robust AI systems using behavior trees.
A Godot 4 plugin providing Behavior Trees and Hierarchical State Machines for creating complex AI behaviors in games.
A platform for developing AI bots that play Doom using visual information, designed for reinforcement learning research.
Original DeepMind DQN 3.0 implementation for Atari game reinforcement learning, with community tweaks.
A free and open-source C++ framework for creating AI agents that play StarCraft: Brood War.
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