LeeonTree

LeeonTree's Stars

• nodonoughue/emitter-detection-book

  MATLAB code companion to Emitter Detection and Geolocation for Electronic Warfare (Artech House, 2019)

  Language:MATLAB5927

• mellody11/Artificial-Potential-Field

  机器人导航--人工势场法及其改进

  Language:MATLAB10910

• sanmuyang/multi-agent-PPO-on-SMAC

  Implementations of MAPPO and IPPO on SMAC, the multi-agent StarCraft environment.

  Language:Python544

• ruanyf/free-books

  互联网上的免费书籍

  14.8k2.5k

• jackfrued/Python-100-Days

  Python - 100天从新手到大师

  Language:Python155k51.9k

• agi-brain/xuance

  XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library

  Language:Python57396

• JSBSim-Team/jsbsim

  An open source flight dynamics & control software library

  Language:C++1.3k443

• facebookresearch/mbrl-lib

  Library for Model Based RL

  Language:Python950154

• JiwenJ/Awesome-RL

  A curated list of RL resources

  225

• aikorea/awesome-rl

  Reinforcement learning resources curated

  8.8k1.8k

• PKU-Alignment/omnisafe

  OmniSafe is an infrastructural framework for accelerating SafeRL research.

  Language:Python898129

• ZYunfeii/DRL_algorithm_library

  This is a reinforcement learning algorithm library. The code takes into account both performance and simplicity, with little dependence.

  Language:Python8820

• xuehy/pytorch-maddpg

  A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)

  Language:Python603122

• starry-sky6688/MARL-Algorithms

  Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II

  Language:Python1.4k279

• CS470RL/maac-pettingzoo

  Applying the MAAC algorithm onto Pettinzoo Environments

  Language:Python3

• TimeBreaker/MARL-papers-with-code

  Multi-Agent Reinforcement Learning (MARL) papers with code

  29137

• Lizhi-sjtu/MARL-code-pytorch

  Concise pytorch implements of MARL algorithms, including MAPPO, MADDPG, MATD3, QMIX and VDN.

  Language:Python40851

• Gj-12222/ajing_marl

  This is a personal library that strives to implement various MARL algorithms. The environment only integrates MPE, and the algorithm currently only has the form of ctde and dtde

  Language:Python131

• marlbenchmark/off-policy

  PyTorch implementations of popular off-policy multi-agent reinforcement learning algorithms, including QMix, VDN, MADDPG, and MATD3.

  Language:Python38667

• zhoubolei/introRL

  Intro to Reinforcement Learning (强化学习纲要）

  3.2k484

• nikhilbarhate99/PPO-PyTorch

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

  Language:Python1.6k340

• wangshusen/DRL

  Deep Reinforcement Learning

  3.2k567

• LiSir-HIT/Reinforcement-Learning

  kinds of reinforcement learning model by Pytorch

  Language:Python24057

• boyu-ai/Hands-on-RL

  https://hrl.boyuai.com/

  Language:Jupyter Notebook2.3k509

• DLR-RM/stable-baselines3

  PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

  Language:Python8.7k1.7k

• ray-project/ray

  Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

  Language:Python32.9k5.6k

• LantaoYu/MARL-Papers

  Paper list of multi-agent reinforcement learning (MARL)

  4k719

• AI4Finance-Foundation/ElegantRL

  Massively Parallel Deep Reinforcement Learning. 🔥

  Language:Python3.6k832

• thu-ml/tianshou

  An elegant PyTorch deep reinforcement learning library.

  Language:Python7.8k1.1k

• vwxyzjn/cleanrl

  High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

  Language:Python5.3k602