Juncheng-Hsu

DRL-Pytorch

Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)

ChatTTS

A generative speech model for daily dialogue.

MARL-Papers

Paper list of multi-agent reinforcement learning (MARL)

Simple-Policy-Optimization

PPO-RND

Random network distillation on Montezuma's Revenge and Super Mario Bros.

reinforcement_learning_ppo_rnd

Deep Reinforcement Learning by using Proximal Policy Optimization and Random Network Distillation in Tensorflow 2 and Pytorch with some explanation

Multi-planes-path-planning

多机协同路径规划算法验证

light_mappo

Lightweight version of MAPPO to help you quickly migrate to your local environment.

vhmap

一个简洁易用3D场景创建和控制工具。基于ThreeJS。纯Python接口。它适用于科研、多智能体强化学习领域的3D演示、娱乐等应用。

Adaptive-Cruise-Control-based-on-H-DQN-and-Inverse-RL

基于分层强化学习和逆向强化学习的自适应巡航算法

RL_air-combat

基于强化学习的空战对抗

PPO-PyTorch

Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch

Maritime-Intelligent-Navigation

Open source data of maritime intelligent navigation platform based on Spaitlab-USV180

ml-agents

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.

envpool

C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.

tianshou

An elegant PyTorch deep reinforcement learning library.

MARL

多智能体强化学习

multiagent-particle-envs

Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

RL-Paper-notes

machinelearning

My blogs and code for machine learning. http://cnblogs.com/pinard

rl_docker

Docker configuration script for reinforcement learning

agents

TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.

annotated_deep_learning_paper_implementations

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

Statistical-Learning-Method_Code

手写实现李航《统计学习方法》书中全部算法

hello-algo

《Hello 算法》：动画图解、一键运行的数据结构与算法教程。支持 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 代码。简体版和繁体版同步更新，English version ongoing

Reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction