Democratizing Reinforcement Learning for LLMs
- agent-framework
- agentic-workflow
- distributed-training
- llm-training
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Democratizing Reinforcement Learning for LLMs
The RL Bridge for LLM-based Agent Applications. Made Simple & Flexible.
Implement a reasoning LLM in PyTorch from scratch, step by step
RLinf: Reinforcement Learning Infrastructure for Embodied and Agentic AI
OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
An open source quadruped robot pet framework for developing Boston Dynamics-style four-legged robots that are perfect for STEM, coding & robotics education, IoT robotics applications, AI-enhanced robotics application services, research, and DIY robotics kit development.
Deep Reinforcement Learning for Keras.
A Next-Generation Training Engine Built for Ultra-Large MoE Models
EasyR1: An Efficient, Scalable, Multi-Modality RL Training Framework based on veRL
Repo for the Deep Reinforcement Learning Nanodegree program
This repo contains the Hugging Face Deep Reinforcement Learning Course.
Translated🌟100+ original LLM / RL algorithm diagrams📚, a great gift from the author of 《大模型算法》 (Large Model Algorithms)! 💥 (100+ LLM/RL Algorithm Maps)
Paper list of multi-agent reinforcement learning (MARL)
🚀 An open-source, hands-on curriculum bridging the gap from basic RL concepts to LLM alignment, RLVR, and advanced Agentic systems.
A repo for distributed training of language models with Reinforcement Learning via Human Feedback (RLHF)
Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
Deep Reinforcement Learning
Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
Translated[ICML 2021] DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning | DouDizhu AI (斗地主, Dou Dizhu, "Fight the Landlord")
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
Translated"Large Language Models" (《大语言模型》), authors: Zhao Xin, Li Junyi, Zhou Kun, Tang Tianyi, Wen Jirong
agent-sandbox enables easy management of isolated, stateful, singleton workloads, ideal for use cases like AI agent runtimes and reinforcement learning (RL).
A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more
A curated list of reinforcement learning with human feedback resources (continually updated)