Emmanuel-Naive / MATD3
Use Multi-agent Twin Delayed Deep Deterministic Policy Gradient(TD3) algorithm to find reasonable paths for ships
☆50Updated last year
Related projects ⓘ
Alternatives and complementary repositories for MATD3
- Use Multi-Agent Deep Deterministic Policy Gradient(DDPG) algorithm to find reasonable paths for ships☆28Updated 2 years ago
- Source code of paper "A Hierarchical Reinforcement Learning Algorithm Based on Attention Mechanism for UAV Autonomous Navigation"☆10Updated 2 years ago
- ☆17Updated 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☆40Updated 2 months ago
- created an environment of 10*10 grid and 4 UAVs to carry out coverage path planning cooperatively☆81Updated 3 years ago
- An OpenAIGym-based framework allowing to test Delay-Aware Deep Reinforcement Learning algorithms for cooperative multi-UAV systems in ful…☆28Updated 3 months ago
- This is the source code of "Efficient training techniques for multi-agent reinforcement learning in combatant tasks".☆68Updated 4 years ago
- PyTorch implementations of MADDPG, MAPPO (coming)☆87Updated 8 months ago
- Multi-UAV Adaptive Path Planning Using Deep Reinforcement Learning☆72Updated last year
- The Python implementation of the proposed framework in the paper Evolutionary Multi-Objective Deep Reinforcement Learning for Autonomous …☆16Updated last year
- 多智能体强化学习VDN、QMIX、QTRAN、QPLEX复现☆26Updated last year
- Jax and Torch Multi-Agent SAC on PettingZoo API☆62Updated last year
- 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。☆37Updated last year
- Multi-UAV target round-up based on MADDPG☆37Updated last month
- An OpenaAIGym-based framework allowing to test hybrid approaches (RL + path planning) for multi-UAV systems that are supposed to provide …☆65Updated 11 months ago
- Multi-Agent Deep Recurrent Q-Learning with Bayesian epsilon-greedy on AirSim simulator☆10Updated 2 years ago
- This is a reinforcement learning algorithm library. The code takes into account both performance and simplicity, with little dependence.☆92Updated 2 years ago
- Deep Reinforcement Learning (DRL) algorithms have been successfully applied to a range of challenging simulated continuous control single…☆49Updated 5 years ago
- ☆26Updated last year
- Code for Deep Reinforcement Learning Based UAV Path Planning Algorithm in Agricultural Time-Constrained Data Collection☆16Updated last year
- Deep reinforcement learning☆31Updated 2 years ago
- implementation of MADDPG using PyTorch and multiagent-particle-envs☆28Updated 2 years ago
- code for `Autonomous navigation of UAV in multi-obstacle environments based on a Deep Reinforcement Learning approach'☆25Updated 7 months ago
- a clean and robust Pytorch implementation of SAC on continuous action space☆60Updated 5 months ago
- ☆12Updated last year
- my code for paper Parameterized-DQN☆21Updated 3 years ago
- Algorithm that combines QMIX with SAC for Multi-Agent Reinforcement Learning.☆40Updated 2 years ago
- Multi-agent Reinforcement Learning Algorithms(COMA, VDN, QMIX)☆13Updated 4 years ago
- Python implementation of DDQN multi-UAV data harvesting☆158Updated 2 years ago