RLinf/RLinf
quality grade A, 90 out of 100RLinf: Reinforcement Learning Infrastructure for Embodied and Agentic AI
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RL algorithms, environments, simulators and decision-making systems.
Signals: reinforcement-learning, deep-reinforcement-learning, rl, gymnasium, openai-gym, multi-agent-reinforcement-learning, imitation-learning
654 results
RLinf: Reinforcement Learning Infrastructure for Embodied and Agentic AI
This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."
FinRL®: Financial Reinforcement Learning. 🔥
A standard API for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
UniRL is a Framework for Unified Multimodal Model Reinforcement Learning
Cosmos-RL is a flexible and scalable Reinforcement Learning framework specialized for Physical AI applications.
🕹️ A diverse suite of scalable reinforcement learning environments in JAX
Puffing up reinforcement learning
Train transformer language models with reinforcement learning.
Agent Reinforcement Trainer: train multi-step agents for real-world tasks using GRPO. Give your agents on-the-job training. Reinforcement learning for Qwen3.6, GPT-OSS, Llama, and more!
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
An interface library for RL post training with environments.
XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library
The RL Bridge for LLM-based Agent Applications. Made Simple & Flexible.
A construction kit for reinforcement learning environment management.
SkyRL: A Modular Full-stack RL Library for LLMs
Isaac Lab API, powered by MuJoCo-Warp, for RL and robotics research
Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.
An Easy-to-use, Scalable and High-performance Agentic RL Framework based on Ray (PPO & DAPO & REINFORCE++ & VLM & TIS & vLLM & Ray & Async RL)
bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent
A library of reinforcement learning components and agents
24,520 repositories in the index in total.