Check out the new game server:
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Updated
Jun 17, 2025 - Python
Check out the new game server:
C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.
Evaluate and improve models and agents using environments
BabyAI platform. A testbed for training agents to understand and execute language commands.
ns3-gym - The Playground for Reinforcement Learning in Networking Research
High Fidelity Simulator for Reinforcement Learning and Robotics Research.
IKEA Furniture Assembly Environment for Long-Horizon Complex Manipulation Tasks
An RL-Gym for Challenge Problems in Data-Driven Modeling and Control of Fluid Dynamics.
A simple, easy, customizable Gymnasium environment for trading.
Grid2Op a testbed platform to model sequential decision making in power systems.
An open source toolkit for Distributed Deep Reinforcement Learning on real and simulated robots.
Turn any song into playable piano sheet music. Paste a YouTube link or upload audio — get a PDF score. Open-source pipeline: Basic Pitch transcription, two-hand arrangement, RL-trained engraving.
This repository is for an open-source environment for multi-agent active voltage control on power distribution networks (MAPDN).
Sotopia: an Open-ended Social Learning Environment (ICLR 2024 spotlight)
EvoRL is a fully GPU-accelerated framework for Evolutionary Reinforcement Learning, implemented with JAX. It supports Reinforcement Learning (RL), Evolutionary Computation (EC), Evolution-guided Reinforcement Learning (ERL), AutoRL, and seamless integration with GPU-optimized simulation environments.
Creating realistic RL environments requires collaboration between researchers, engineers, and domain experts across many dimensions: artifacts, environments tools, dynamism of the environment, reproducibility, and more. There is no open source framework for building these environments effectively. Until now.
K-Sim Gym: Making robots useful with RL. Built on top of K-Sim.
RL environments + evals for AI agents. Define once, train anything.
A car soccer environment inspired by Rocket League for deep reinforcement learning experiments in an adversarial self-play setting.
Deep Reinforcement Learning in C#
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