MuhammetAkcann / 3d-manuver-decision-in-air-combat-situationsLinks
3d manuver decision in air combat situations
☆15Updated 3 years ago
Alternatives and similar repositories for 3d-manuver-decision-in-air-combat-situations
Users that are interested in 3d-manuver-decision-in-air-combat-situations are comparing it to the libraries listed below
Sorting:
- ☆45Updated 5 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。☆71Updated 6 years ago
- This is a personal library that strives to implement various MARL algorithms. The environment only integrates MPE, and the algorithm curr…☆15Updated 6 months ago
- A series of air combat game environments packaged according to the gym interface for reinforcement learning.☆19Updated 3 years ago
- Heterogeneous Hierarchical Multi Agent Reinforcement Learning for Air Combat☆148Updated 8 months ago
- 基于强化学习的空战对抗☆77Updated 4 years ago
- Multi-agent Combat Arena (UAV swarm vs UAV swarm)☆150Updated 5 years ago
- ☆32Updated 2 years ago
- ☆41Updated 4 years ago
- A simple and fast 2D RL environment with obstacles to learn navigation.☆22Updated 6 years ago
- ☆56Updated 6 months ago
- A Gym Dogfighting Simulation Benchmark for Reinforcement Learning Research☆101Updated 2 years ago
- UAV Logistics Environment for Multi-Agent Reinforcement Learning / Unity ML-Agents / Unity 3D☆107Updated last year
- Implementations of MAPPO and IPPO on SMAC, the multi-agent StarCraft environment.☆75Updated 3 years ago
- Project on multi agent reinforcement learning applied on patrolling agents☆40Updated 6 years ago
- Multi-Agent Reinforcement Learning (MARL) method to learn scalable control polices for multi-agent target tracking.☆41Updated 2 years ago
- 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…☆27Updated 2 years ago
- The official code releasement of publications in MARL field of TJU RL lab.☆83Updated 3 years ago
- ☆26Updated 2 years ago
- The implementation of "An Imitative Reinforcement Learning Framework for Pursuit-Lock-Launch Missions"☆32Updated last month
- 用DDPG/MADDPG/DQN/MADDPG+advantage实验 OpenAI开源的MPE环境☆24Updated 7 years ago
- This code is the result of the collaboration of RL Turkey team.☆36Updated last year
- ICML 2019 RL for Real Life Workshop: Recurrent MADDPG for Partially Observable and Limited Communication Settings☆50Updated 5 years ago
- POMG algorithm for large-scale pursuit game with partial observation and no communication.☆24Updated 9 months ago
- A deep reinforcement learning multi-agent algorithm, where a team learns to complete a task and communicate between agents.☆16Updated 4 years ago
- This is the source code of "Efficient training techniques for multi-agent reinforcement learning in combatant tasks".☆99Updated 5 years ago
- Codes of GoMARL accompanying the paper "Automatic Grouping for Efficient Cooperative Multi-Agent Reinforcement Learning"(NeurIPS 2023). G…☆32Updated last year
- Deep Reinforcement Learning (DRL) algorithms have been successfully applied to a range of challenging simulated continuous control single…☆52Updated 6 years ago
- Learning with Helper☆19Updated 6 years ago
- MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT..…☆151Updated last year