MineDojo/NitroGen

Video PreTraining (VPT): Learning to Act by Watching Unlabeled Online Videos

A simple framework that allows researchers and hobbyists to develop AI agents for Atari 2600 games

The Cradle framework is a first attempt at General Computer Control (GCC). Cradle supports agents to ace any computer task by enabling strong reasoning abilities, self-improvment, and skill curation, in a standardized general environment with minimal requirements.

AI Plays Trackmania with Reinforcement Learning

MineRL Competition for Sample Efficient Reinforcement Learning - Python Package

OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.

Reinforcement Learning environments based on the 1993 game Doom :godmode:

Code for MIRA: Multiplayer Interactive World Models with Representation Autoencoders

A non-saturating, open-ended environment for evaluating LLMs in Factorio