IDSIA / hhmarl_2DLinks
Heterogeneous Hierarchical Multi Agent Reinforcement Learning for Air Combat
☆138Updated 6 months ago
Alternatives and similar repositories for hhmarl_2D
Users that are interested in hhmarl_2D are comparing it to the libraries listed below
Sorting:
- Multi-agent Combat Arena (UAV swarm vs UAV swarm)☆147Updated 5 years ago
- Multi-UAV target round-up based on MADDPG☆201Updated 5 months ago
- PyTorch implementations of MADDPG, MAPPO (coming)☆174Updated last year
- Use Multi-agent Twin Delayed Deep Deterministic Policy Gradient(TD3) algorithm to find reasonable paths for ships☆63Updated 2 years ago
- ☆31Updated 2 years ago
- This is the source code of "Efficient training techniques for multi-agent reinforcement learning in combatant tasks".☆98Updated 4 years ago
- UAV Logistics Environment for Multi-Agent Reinforcement Learning / Unity ML-Agents / Unity 3D☆106Updated last year
- Use Multi-Agent Deep Deterministic Policy Gradient(DDPG) algorithm to find reasonable paths for ships☆36Updated 3 years ago
- 多智能体强化学习VDN、QMIX、QTRAN、QPLEX复现☆33Updated 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。☆65Updated 2 years ago
- Algorithm that combines QMIX with SAC for Multi-Agent Reinforcement Learning.☆54Updated 3 years ago
- Python implementation of DDQN multi-UAV data harvesting☆199Updated 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☆60Updated last month
- implementation of MADDPG using PettingZoo and PyTorch☆156Updated last year
- Simple and efficient implementation of DQN DDPG TD3 SAC PPO MADDPG MATD3 MASAC MAAC IPPO MAPPO HAPPO MAT MORL☆124Updated 3 months ago
- Jax and Torch Multi-Agent SAC on PettingZoo API☆92Updated 11 months ago
- This is a personal library that strives to implement various MARL algorithms. The environment only integrates MPE, and the algorithm curr…☆15Updated 5 months ago
- ☆23Updated 4 years ago
- This is a reinforcement learning algorithm library. The code takes into account both performance and simplicity, with little dependence.☆104Updated 3 years ago
- ☆49Updated 4 months ago
- Hierarchical and Stable Multiagent Reinforcement Learning for Cooperative Navigation Control☆13Updated 3 years ago
- A Pytorch implementation of the multi agent deep deterministic policy gradients (MADDPG) algorithm☆363Updated 4 years ago
- 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…☆23Updated last year
- This code is the result of the collaboration of RL Turkey team.☆34Updated last year
- created an environment of 10*10 grid and 4 UAVs to carry out coverage path planning cooperatively☆106Updated 4 years ago
- Source code of paper "A Hierarchical Reinforcement Learning Algorithm Based on Attention Mechanism for UAV Autonomous Navigation"☆23Updated 3 years ago
- Autonomous UAV navigation using Deep Reinforcement Learning (DQN). The UAV learns to efficiently navigate grid-based environments, avoid …☆12Updated 8 months ago
- MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT..…☆143Updated last year
- An OpenAIGym-based framework allowing to test Delay-Aware Deep Reinforcement Learning algorithms for cooperative multi-UAV systems in ful…☆52Updated last month
- The Python implementation of the proposed framework in the paper Evolutionary Multi-Objective Deep Reinforcement Learning for Autonomous …☆29Updated 2 years ago