Clean PyTorch implementations of imitation and reward learning algorithms

⚡ Flashbax: Accelerated Replay Buffers in JAX

Minetest is an open source voxel game engine with easy modding and game creation

An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)

JAX implementation of OpenAI's Whisper model for up to 70x speed-up on TPU.

Multi-objective gym environments for reinforcement learning.

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.

🕹️ A suite of diverse and challenging RL environments in JAX

Ananke: A theme for Hugo Sites

(NeurIPS '21 Spotlight) IQ-Learn: Inverse Q-Learning for Imitation

A gym interface for AI safety gridworlds created in pycolab.

GNOME Shell extension that shows workspaces buttons in top panel

A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more

Implementation of Sutton and Barto SARSA mountain car algorithm, with their tile coding implementation used as features.

OpenAI Gym environment for Platform