cra358

cra358's Stars

• brucecui1998/CloseAirCombat

  An environment based on JSBSIM aimed at one-to-one close air combat.

  Language:Python5

• xiaobaigou233/DSC-RLCA

  Language:Python5

• CGandGameEngineLearner/HongJun

  鸿钧：一个基于虚幻引擎和 AirSim 的仿真系统，让用户以简单轻松的配置方式搭建定制化的无人机作战环境。 本项目是鸿钧的 python 控制器，其通过 Socket 协议与由基于虚幻引擎和 AirSim 的仿真系统——鸿钧建立通讯，并控制其中仿真的无人机，进行飞行和战斗任务。用户可以使用 Python 语言编写无人机的飞行任务程序，完成无人机的编队飞行、攻击战斗、集群对抗等任务。 本团队在 AirSim 的基础上拓展出了攻击、战斗系统，可以对无人机的作战环境进行模拟，本项目可作为集群智能的训练平台，适用于无人机集群对抗、轰炸敌方目标单位等任务的人工智能训练。 该项目已被清华大学猛狮无人驾驶实验室和南京航空航天大学无人机实验室的研究生团队采用，并于人工智能仿真训练，并发表相关科研论文

  Language:Python559

• JSBSim-Team/jsbsim

  An open source flight dynamics & control software library

  Language:C++1.4k461

• terran6/mappo-competitive-reinforcement

  🎾 Multi-Agent Proximal Policy Optimization approach to a competitive reinforcement learning problem

  Language:Python191

• liuqh16/LAG

  An environment based on JSBSIM aimed at one-to-one close air combat.

  Language:Python30298

• XinJingHao/SAC-Continuous-Pytorch

  a clean and robust Pytorch implementation of SAC on continuous action space

  Language:Python6215

• schroederdewitt/multiagent_mujoco

  Benchmark for Continuous Multi-Agent Robotic Control, based on OpenAI's Mujoco Gym environments.

  Language:Python33334

• oxwhirl/facmac

  Language:Python9020

• YangShengqi/paper

  4110

• exacity/deeplearningbook-chinese

  Deep Learning Book Chinese Translation

  Language:TeX35.9k9.1k

• Git-123-Hub/maddpg-pettingzoo-pytorch

  implementation of MADDPG using PettingZoo and PyTorch

  Language:Python11333

• SJTUwbl/multi-UAV

  Language:Python274

• mengwanglalala/RL-algorithms

  RL algorithms

  Language:Python13829

• wangshusen/DRL

  Deep Reinforcement Learning

  3.4k592

• apachecn/ailearning

  AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2

  Language:Python39.7k11.5k

• MLEveryday/100-Days-Of-ML-Code

  100-Days-Of-ML-Code中文版

  Language:Jupyter Notebook21.2k5.5k

• CyC2018/CS-Notes

  :books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计

  178k51.1k

• 2019ChenGong/RL-Paper-notes

  29829

• JohannesAck/MATD3implementation

  Code for the RL method MATD3 described in the paper "Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics"

  Language:Python7513

• murtazarang/MD-MADDPG

  Language:Python153

• luweiagi/machine-learning-notes

  This is the notes of the way of machine learning study. You may find something useful in it.

  463108

• opendilab/DI-engine

  OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.

  Language:Python3.1k380

• cyuquan8/smart_drones

  Multi-Agent Reinforcement Learning for Drones

  Language:Python63

• qian18long/epciclr2020

  Language:Python11926

• dadadidodi/m3ddpg

  Language:Python4824

• xmu-xiaoma666/External-Attention-pytorch

  🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

  Language:Python11.5k1.9k

• PeixianChen/RL-MPE

  用DDPG/MADDPG/DQN/MADDPG+advantage实验 OpenAI开源的MPE环境

  Language:Python222

• Mikoto10032/DeepLearning

  深度学习入门教程, 优秀文章, Deep Learning Tutorial

  Language:Jupyter Notebook14.7k3.6k

• 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/

  Language:Jupyter Notebook9.6k1.9k