finger9

finger9's Stars

• PKU-MARL/MARLlib

  This code base enables multi-agent RL in the RLlib

  51

• PKU-MARL/HARL

  Official implementation of HARL algorithms based on PyTorch.

  Language:Python44450

• openai/maddpg

  Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

  Language:Python1.6k483

• fangvv/UAV-DDPG

  Code for paper "Computation Offloading Optimization for UAV-assisted Mobile Edge Computing: A Deep Deterministic Policy Gradient Approach"

  Language:Python40773

• zhuzhongzhi-50/MEC_RL_UAV

  Language:Python13

• TheMVS/UAV_SWARMS_RL_FIXED_OBSTACLES_MAPS

  Language:Python95

• vinPopulaire/Risk_aware_MEC_offloading

  Code for Data Offloading in UAV-assisted Multi-access Edge Computing Systems: A Resource-based Pricing and User Risk-awareness Approach paper https://www.mdpi.com/1424-8220/20/8/2434/pdf

  Language:Python8214

• zyrived/UAV_MEC_SYSTEM

  A UAVs empowered MEC SYSTEM

  Language:Python9

• Dev-shrm07/SkyNetMEC

  This repository contains an implementation of a UAV-based task offloading model using the Multi-Agent Deep Deterministic Policy Gradient (MADDPG) reinforcement learning algorithm.

  Language:Jupyter Notebook695

• XGX-CURRY/uavSim

  Language:Python5

• mingfan321/HADRL

  Deep Reinforcement Learning for UAV Routing in The Presence of Multiple Charging Stations

  Language:Python154

• xiaogaogaoxiao/Multiple-UAV-Trajectory-and-Power-Control

  Simulation and documentations of Multiple UAV TPC optimization

  3912

• hbayerlein/uav_data_harvesting

  Python implementation of DDQN multi-UAV data harvesting

  Language:Python14437

• navuboy/rl_ardrone

  Autonomous Navigation of UAV using Reinforcement Learning algorithms.

  Language:Python17853

• anassinator/ilqr

  Iterative Linear Quadratic Regulator with auto-differentiatiable dynamics models

  Language:Python36278

• ChangerC77/Trajectory_planning

  路径规划、轨迹优化算法

  Language:Python174

• zhuliquan/reinforcement_learning_basic_book

  这是一个学习强化学习基础原理的仓库，主要包括了《深入浅出强化学习原理入门》书中一些例子和课后作业的代码

  Language:Python250103

• Dylan4J/reasoningSystem

  利用简单的产生式系统原理构建了一个逻辑推理系统

  Language:Java2

• chgl16/animal-recognition-expert-system

  :tiger: 用产生式系统设计的一个简单动物识别专家系统，正向推理，支持规则增删改查

  Language:Java339