Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
RL algorithms, environments, simulators and decision-making systems.
Signals: reinforcement-learning, deep-reinforcement-learning, rl, gymnasium, openai-gym, multi-agent-reinforcement-learning, imitation-learning
664 results
A simple and highly efficient RTS-game-inspired environment for reinforcement learning (formerly Gym-MicroRTS)
[NeurIPS 2025] Reinforcement Learning for Reasoning in Large Language Models with One Training Example
A wrapper framework for Reinforcement Learning in the Webots robot simulator using Python 3.
Code for reco-gym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online Advertising
Scaling Agentic Reinforcement Learning with a Multi-Turn, Multi-Task Framework
L1: Controlling How Long A Reasoning Model Thinks With Reinforcement Learning
Mirror of Stable-Baselines: a fork of OpenAI Baselines, implementations of reinforcement learning algorithms
DIAMBRA Arena: a New Reinforcement Learning Platform for Research and Experimentation
Use Reinforcement Learning to train an autonomous driving agent in CARLA Simulator
A library for ready-made reinforcement learning agents and reusable components for neat prototyping
Roach: End-to-End Urban Driving by Imitating a Reinforcement Learning Coach. ICCV 2021.
Deep reinforcement learning without experience replay, target networks, or batch updates.
Interpretable End-to-end Urban Autonomous Driving with Latent Deep Reinforcement Learning
lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.
PARC: Physics-based Augmentation with Reinforcement Learning for Character Controllers
Deep Reinforcement Learning based Adaptive Real-time Path Planning for UAV
legged robot environments for reinforcement learning in multiple simulators (IsaacGym, Genesis, IsaacSim)
Repository for the ongoing development of the Brown-UMBC Reinforcement Learning And Planning (BURLAP) java library
We tested 3 approaches for Pair Trading: distance, cointegration and reinforcement learning approach.
codes for the paper "POMO: Policy Optimization with Multiple Optima for Reinforcement Learning"
NeurIPS 2023: Safe Policy Optimization: A benchmark repository for safe reinforcement learning algorithms
Hardware-Accelerated Reinforcement Learning Algorithms in pure Jax!
xingtian is a componentized library for the development and verification of reinforcement learning algorithms
An open source toolkit for Distributed Deep Reinforcement Learning on real and simulated robots.
24,544 repositories in the index in total.
