Global

IMPORTANT] > FinRL-X is the next-generation evolution of FinRL, designed for AI-native, modular, and production-oriented quantitative trading. > > - This repository (FinRL) preserves the original end-to-end educational and research framework.

👋 Hi, everyone! DanKS is a GuanDan AI project initiated by the Kingsoft AI Product Center .

Gymnasium is an open source Python library for developing and comparing reinforcement learning algorithms by providing a standard API to communicate between learning algorithms and environments, as well as a standard set of environments compliant with that API.

Welcome to GR00T Whole-Body Control (WBC)! This is a unified platform for developing and deploying advanced humanoid controllers. 6 and GEAR-SONIC

CleanRL is a Deep Reinforcement Learning library that provides high-quality single-file implementation with research-friendly features. The implementation is clean and simple, yet we can scale it to run thousands of experiments using AWS Batch.

The purpose of this project is not to produce as optimized and computationally efficient algorithms as possible but rather to present the inner workings of them in a transparent and accessible way.

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.

OpenAI Baselines is a set of high-quality implementations of reinforcement learning algorithms.

强化学习中文教程（蘑菇书🍄），在线阅读地址：

A framework for building robust RL environments to train aligned AI.

Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research

Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接

This repository provides code, exercises and solutions for popular Reinforcement Learning algorithms. These are meant to serve as a learning tool to complement the theoretical materials from

CARLA is an open-source simulator for autonomous driving research. CARLA has been developed from the ground up to support development, training, and validation of autonomous driving systems.

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

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

This repository is a collection of tutorials for MIT Deep Learning courses. More added as courses progress.

Adaptive task scheduling for multi-core CPUs using DQN with DVFS & thermal-aware reward; includes simulator, baselines, training, evaluation, and plotting.

Motus2: A Self-Evolving General World Model for Dexterous Manipulation

5 series unified generative models. It is designed to be easily adapted for your own tasks — you only need to swap in your own data loader and RL reward function.