HFly1's Stars
clash-verge-rev/clash-verge-rev
A modern GUI client based on Tauri, designed to run in Windows, macOS and Linux for tailored proxy experience
zzzgydi/clash-verge
A Clash GUI based on tauri. Supports Windows, macOS and Linux.
mavlink/qgroundcontrol
Cross-platform ground control station for drones (Android, iOS, Mac OS, Linux, Windows)
PX4/PX4-Autopilot
PX4 Autopilot Software
hanlinniu/turtlebot3_ddpg_collision_avoidance
Mapless Collision Avoidance of Turtlebot3 Mobile Robot Using DDPG and Prioritized Experience Replay
p-christ/Deep-Reinforcement-Learning-Algorithms-with-PyTorch
PyTorch implementations of deep reinforcement learning algorithms and environments
Lizhi-sjtu/MARL-code-pytorch
Concise pytorch implements of MARL algorithms, including MAPPO, MADDPG, MATD3, QMIX and VDN.
Lizhi-sjtu/DRL-code-pytorch
Concise pytorch implements of DRL algorithms, including REINFORCE, A2C, DQN, PPO(discrete and continuous), DDPG, TD3, SAC.
google-deepmind/bsuite
bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent
google-deepmind/dm_control
Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
google-deepmind/acme
A library of reinforcement learning components and agents
facebookresearch/rlmeta
RLMeta is a light-weight flexible framework for Distributed Reinforcement Learning Research.
AI4Finance-Foundation/ElegantRL
Massively Parallel Deep Reinforcement Learning. 🔥
ikostrikov/pytorch-a2c-ppo-acktr-gail
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).
openai/baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
openai/gym
A toolkit for developing and comparing reinforcement learning algorithms.
google-deepmind/dqn_zoo
DQN Zoo is a collection of reference implementations of reinforcement learning agents developed at DeepMind based on the Deep Q-Network (DQN) agent.
YunlianMoon/reinforcement-learning-an-introduction-2nd-edition
reinforcement learning
LyWangPX/Reinforcement-Learning-2nd-Edition-by-Sutton-Exercise-Solutions
Solutions of Reinforcement Learning, An Introduction
PaddlePaddle/MetaGym
Collection of Reinforcement Learning / Meta Reinforcement Learning Environments.
derpberk/ASVs_Deep_Reinforcement_Learning_with_CNNs
Deep Reinforcement Learning application for path planning in ASVs
openai/maddpg
Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
datawhalechina/easy-rl
强化学习中文教程(蘑菇书🍄),在线阅读地址:https://datawhalechina.github.io/easy-rl/
minqi/learning-to-communicate-pytorch
Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch
LantaoYu/MARL-Papers
Paper list of multi-agent reinforcement learning (MARL)
ArduPilot/MissionPlanner
Mission Planner Ground Control Station for ArduPilot (c# .net)
facebookresearch/ELF
An End-To-End, Lightweight and Flexible Platform for Game Research
ilnanny/TL-WN725N-TP-Link-Debian
Driver for wireless usb adaptor " TL-WN725N-TP-Link-2" for Debian -Ubuntu-linuxMint and derivates