Learning Resources AI AgentsLearning Resources

Rllm

Democratizing Reinforcement Learning for LLMs

AReaL

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

RLinf

RLinf: Reinforcement Learning Infrastructure for Embodied and Agentic AI

AIGC Interview Book

【三年面试五年模拟】AIGC/LLM/AI Agent算法工程师面试资源平台。涵盖AIGC、LLM大模型、AI Agent、具身智能、传统深度学习、计算机视觉、自然语言处理、自动驾驶、机器学习、强化学习、大数据挖掘、世界模型、元宇宙、AGI等AI行业面试笔试干货经验与核心跨周期知识。

Ml Road

Machine Learning and Agentic AI Resources, Practice and Research

Hands On Modern Rl

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

AI Cookbook

Examples and tutorials to help developers build AI systems

Anything About Game

A wonderful list of Game Development resources.

AI System Design Guide

AI system design guide for engineers building production AI systems and evals.

Acme

A library of reinforcement learning components and agents

Artificial Intelligence Deep Learning Machine Learning Tutorials

Synapsa Commons: free, hands-on AI courses that run anywhere (Colab, Kaggle, Binder, Codespaces, Jupyter). EU AI Act conformity evidence, model validation, predictive maintenance, document extraction, retrieval and RAG, AI agents and MCP, a simulated humanoid. Every lesson autograded. From the team building Synapsa.

AI Tutorial

大厂发布的AI落地实践、顶尖实验室的最新论文、工业界的真实踩坑记录

Agent Academy

Curated lessons on getting started building agents with Copilot Studio

DecryptPrompt

总结Prompt&LLM论文，开源数据&模型，AIGC应用

Deepagents In Action

📚 《Deep Agents 实战》—— LangChain 官方大使出品，基于 LangChain / LangGraph 生态，从零构建生产级 AI Agent 的完整指南

AI Agents The Definitive Guide

Repo for AI Agents The Definitive Guide

RAGEN

Agent RL framework for LLM agents: multi-turn reinforcement learning with StarPO and reasoning-collapse diagnostics

Agentic Context Engine

🧠 Make your agents learn from experience. Now available as a hosted solution at kayba.ai

CGraph

【A common used C++ & Python DAG framework】 一个通用的、无三方依赖的、跨平台的、收录于awesome-cpp的、基于流图的并行计算框架。欢迎star & fork & 交流

Dash

A self-learning data agent built with systems engineering principles. It grounds answers in 6 layers of context and improves with every query.

Prompt In Context Learning

Awesome resources for in-context learning and prompt engineering: Mastery of the LLMs such as ChatGPT, GPT-3, and FlanT5, with up-to-date and cutting-edge updates.

Gym Pybullet Drones

PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control

ATLAS

Adaptive Test-time Learning and Autonomous Specialization

AgentFlow

AgentFlow: In-the-Flow Agentic System Optimization