rl

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An elegant PyTorch deep reinforcement learning library.

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

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!

The RL Bridge for LLM-based Agent Applications. Made Simple & Flexible.

EasyR1: An Efficient, Scalable, Multi-Modality RL Training Framework based on veRL

🚀 An open-source, hands-on curriculum bridging the gap from basic RL concepts to LLM alignment, RLVR, and advanced Agentic systems.

agent-sandbox enables easy management of isolated, stateful, singleton workloads, ideal for use cases like AI agent runtimes and reinforcement learning (RL).

An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)

A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.

ELF: a platform for game research with AlphaGoZero/AlphaZero reimplementation

Implementation of papers in 100 lines of code.

A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.

MuZero

A Survey of Reinforcement Learning for Large Reasoning Models

Implementation of all RL algorithms in a simpler way

[ICLR 2026] SimpleVLA-RL: Scaling VLA Training via Reinforcement Learning

Scalable RL solution for advanced reasoning of language models

Covers pre-training data, Tokenizer, Transformer, MoE,distributed training, Scaling Laws, inference & alignment .6 progressive code assignments for full-stack LLM learning | 涵盖预训练数据、分词器、Transformer、MoE、分布式训练、缩放定律、推理与对齐，6 项渐进代码作业，掌握 LLM 全栈知识

[ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning