shizhengkang / air_combat
A series of air combat game environments packaged according to the gym interface for reinforcement learning.
☆17Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for air_combat
- 3d manuver decision in air combat situations☆14Updated 2 years ago
- 基于强化学习的空战对抗☆60Updated 3 years ago
- ☆10Updated 2 years ago
- Heterogeneous Hierarchical Multi Agent Reinforcement Learning for Air Combat☆64Updated 2 months ago
- ☆38Updated 4 years ago
- 利用值函数逼近网络设计无人机空战自主决策系统,目前是初步的程序编写,之后会不断更新和详解。☆65Updated 5 years ago
- ☆26Updated last year
- Multi-agent Combat Arena (UAV swarm vs UAV swarm)☆104Updated 4 years ago
- This is the source code of "Efficient training techniques for multi-agent reinforcement learning in combatant tasks".☆68Updated 4 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
- Use Multi-agent Twin Delayed Deep Deterministic Policy Gradient(TD3) algorithm to find reasonable paths for ships☆50Updated last year
- 基于MADDPG的多智能体博弈对抗算法☆12Updated last year
- ☆17Updated 3 years ago
- Use Multi-Agent Deep Deterministic Policy Gradient(DDPG) algorithm to find reasonable paths for ships☆28Updated 2 years ago
- gym 框架下的多智能体追逃博弈强化学习平台☆11Updated last year
- created an environment of 10*10 grid and 4 UAVs to carry out coverage path planning cooperatively☆81Updated 3 years ago
- A tool that provides fast air combat simulation and display☆26Updated 4 years ago
- PyTorch implementations of MADDPG, MAPPO (coming)☆86Updated 8 months ago
- code for `Autonomous navigation of UAV in multi-obstacle environments based on a Deep Reinforcement Learning approach'☆25Updated 7 months ago
- UAV Logistics Environment for Multi-Agent Reinforcement Learning / Unity ML-Agents / Unity 3D☆81Updated 7 months ago
- Multi-UAV Adaptive Path Planning Using Deep Reinforcement Learning☆72Updated last year
- MBaranPeker / Pursuit-Evasion-Game-with-Deep-Reinforcement-Learning-in-an-environment-with-an-obstacleIn this study, a multi agent chase-escape problem using Deep Q learning. Actors of the problem are smart evader and smart pursuers with o…☆20Updated last year
- An OpenAIGym-based framework allowing to test Delay-Aware Deep Reinforcement Learning algorithms for cooperative multi-UAV systems in ful…☆28Updated 2 months ago
- 基于强化学习的游戏空战推演☆11Updated 3 years ago
- Python implementation of DDQN multi-UAV data harvesting☆158Updated 2 years ago
- Python code for the paper Machine Learning to Improve Situational Awareness in Beyond Visual Range Air Combat.☆14Updated 2 years ago
- This is a work on using meta-reinforcement learning to achieve autonomous target tracking and obstacle avoidance for UAVs☆27Updated 2 months ago
- 预测-校正学习计算制导律☆11Updated 3 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
- Multi-Agent Deep Recurrent Q-Learning with Bayesian epsilon-greedy on AirSim simulator☆10Updated 2 years ago