sanjinzhi / Multiagent-reinforcement-learning-algorithms-for-multiple-UAV-confrontationLinks
This is the source code of "Efficient training techniques for multi-agent reinforcement learning in combatant tasks".
☆90Updated 4 years ago
Alternatives and similar repositories for Multiagent-reinforcement-learning-algorithms-for-multiple-UAV-confrontation
Users that are interested in Multiagent-reinforcement-learning-algorithms-for-multiple-UAV-confrontation are comparing it to the libraries listed below
Sorting:
- Heterogeneous Hierarchical Multi Agent Reinforcement Learning for Air Combat☆116Updated 2 months ago
- An OpenaAIGym-based framework allowing to test hybrid approaches (RL + path planning) for multi-UAV systems that are supposed to provide …☆105Updated last year
- AI4IS / Multi-Dimensional-Decision-Making-for-UAV-Air-Combat-Based-on-Hierarchical-Reinforcement-LearningThis project is the partially open source code of EI thesis Multi-Dimensional Decision-Making for UAV Air Combat Based on Hierarchical Re…☆17Updated last year
- Multi-agent Combat Arena (UAV swarm vs UAV swarm)☆138Updated 4 years ago
- Use Multi-agent Twin Delayed Deep Deterministic Policy Gradient(TD3) algorithm to find reasonable paths for ships☆64Updated 2 years ago
- Python implementation of DDQN multi-UAV data harvesting☆186Updated 3 years ago
- 无人机动态覆盖控制;1. 实现了一个无人机点覆盖环境;2. 给出了无人机连通保持规则;3. 给出了基于MARL的控制算法☆50Updated 9 months ago
- Multi-UAV target round-up based on MADDPG☆170Updated last month
- created an environment of 10*10 grid and 4 UAVs to carry out coverage path planning cooperatively☆100Updated 3 years ago
- An OpenAIGym-based framework allowing to test Delay-Aware Deep Reinforcement Learning algorithms for cooperative multi-UAV systems in ful…☆42Updated 10 months ago
- Use Multi-Agent Deep Deterministic Policy Gradient(DDPG) algorithm to find reasonable paths for ships☆37Updated 2 years ago
- ☆31Updated 2 years ago
- PyTorch implementations of MADDPG, MAPPO (coming)☆149Updated last year
- ☆23Updated 4 years ago
- Obstacle avoidance in UAVs with reinforcement learning (PPO)☆9Updated 2 years ago
- UAVGym是一个用python编写的GYM风格的无人机仿真环境,用于强化学习算法的研究。☆59Updated last year
- Multi-UAV Adaptive Path Planning Using Deep Reinforcement Learning☆110Updated 2 years ago
- 基于深度强化学习技术(DRL),提出了结合D3QN算法和多步学习的无人机3D路径优化算法。为进一步优化算法,提出一种三维同步导航和无线电测绘(SNARM)新框架。☆56Updated 2 years ago
- Source code of paper "A Hierarchical Reinforcement Learning Algorithm Based on Attention Mechanism for UAV Autonomous Navigation"☆21Updated 2 years ago
- UAV Logistics Environment for Multi-Agent Reinforcement Learning / Unity ML-Agents / Unity 3D☆97Updated last year
- 多智能体强化学习VDN、QMIX、QTRAN、QPLEX复现☆32Updated 2 years ago
- 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
- 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
- The Python implementation of the proposed framework in the paper Evolutionary Multi-Objective Deep Reinforcement Learning for Autonomous …☆26Updated last year
- Hierarchical and Stable Multiagent Reinforcement Learning for Cooperative Navigation Control☆13Updated 3 years ago
- Algorithm that combines QMIX with SAC for Multi-Agent Reinforcement Learning.☆48Updated 3 years ago
- MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT..…☆139Updated last year
- [JSAC 2018] Energy-Efficient UAV Control for Effective and Fair Communication Coverage: A Deep Reinforcement Learning Approach☆115Updated last year
- Simple and efficient implementation of DQN DDPG TD3 SAC PPO MADDPG MATD3 MASAC MAAC IPPO MAPPO HAPPO MAT MORL☆78Updated 2 weeks ago
- Jax and Torch Multi-Agent SAC on PettingZoo API☆85Updated 7 months ago