pr-shukla / maddpg-kerasLinks
Implementation Multi-Agent Deep Deterministic Policy Gradient (MADDPG) algorithm in keras
☆21Updated last year
Alternatives and similar repositories for maddpg-keras
Users that are interested in maddpg-keras are comparing it to the libraries listed below
Sorting:
- Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space☆48Updated 3 years ago
- Lightweight multi-agent PPO for IEEE field.☆14Updated 3 years ago
- Code implementation of "Cooperative Trajectory Design of Multiple UAV Base Stations with Heterogeneous Graph Neural Networks".☆93Updated 2 years ago
- my code for paper Parameterized-DQN☆22Updated 4 years ago
- 一个基于图神经网络的强化学习网络资源分配模型☆29Updated 3 years ago
- Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x☆155Updated last year
- Multi Agent adaptation of Soft Actor Critic Reinforcement Learning Algorithm☆20Updated 6 years ago
- 基于MADRL的多无人机路径规划开源仿真项目☆14Updated last year
- AlirezaShamsoshoara / Multi-Independent-Agent-Reinforcement-Learning-UAV-Autonomous-Spectrum-QLearningAn Autonomous Spectrum Management Scheme for Unmanned Aerial Vehicle Networks in Disaster Relief Operations using Multi Independent Agent…☆67Updated 4 years ago
- Use Multi-agent Twin Delayed Deep Deterministic Policy Gradient(TD3) algorithm to find reasonable paths for ships☆64Updated 2 years ago
- 在PyTorch上重构multi-agent deep deterministic policy gradient(MADDPG)，将https://github.com/xuemei-ye/maddpg-mpe 修改到 自己电脑上可运行。因为本人笔记本没有CUDA，实验速度…☆13Updated 6 years ago
- Use Multi-Agent Deep Deterministic Policy Gradient(DDPG) algorithm to find reasonable paths for ships☆37Updated 2 years ago
- [INFOCOM 2022] AoI-minimal UAV Crowdsensing by Model-based Graph Convolutional Reinforcement Learning☆54Updated 2 years ago
- A multi-agent reinforcement learning framework for optimizing coverage and connectivity in Space-Air-Ground integrated networks. This pro…☆24Updated 3 months ago
- DDPG in Pytorch☆45Updated 3 years ago
- Deep Reinforcement Learning framework that uses GNN to solve planning tasks for infrastructural assets☆16Updated 3 years ago
- Multi-agent Reinforcement Learning Algorithms(COMA, VDN, QMIX)☆15Updated 5 years ago
- A solution for Dynamic Spectrum Management in Mission-Critical UAV Networks using Team Q learning as a Multi-Agent Reinforcement Learning…☆68Updated 4 years ago
- Official Pytorch implementation of Soft-DRGN (IEEE trans on Mobile Computing 2022)☆36Updated 3 years ago
- This is the source code of "Efficient training techniques for multi-agent reinforcement learning in combatant tasks".☆90Updated 4 years ago
- D3QN Pytorch☆63Updated 3 years ago
- Multi-Agent Deep Recurrent Q-Learning with Bayesian epsilon-greedy on AirSim simulator☆12Updated 3 years ago
- created an environment of 10*10 grid and 4 UAVs to carry out coverage path planning cooperatively☆101Updated 3 years ago
- The source code is the entry for 2022 EUROCONTROL Air Transport Innovation Network Innovation Masterclass. The reinforcement learning mod…☆16Updated 3 years ago
- [TMC 2023] Delay-Sensitive Energy-Efficient UAV Crowdsensing by Deep Reinforcement Learning☆54Updated 3 years ago
- ☆31Updated 2 years ago
- [JSAC 2018] Energy-Efficient UAV Control for Effective and Fair Communication Coverage: A Deep Reinforcement Learning Approach☆115Updated last year
- Source code of paper "A Hierarchical Reinforcement Learning Algorithm Based on Attention Mechanism for UAV Autonomous Navigation"☆21Updated 2 years ago
- Codes for paper of 'Solving job scheduling problems in a resource preemption environment with multi-agent reinforcement learning'☆44Updated 2 years ago
- DQN by Matlab and Python☆31Updated 5 years ago