jpadantas / machine-learning-bvr-air-combatLinks
Python code for the paper Machine Learning to Improve Situational Awareness in Beyond Visual Range Air Combat.
☆17Updated 2 years ago
Alternatives and similar repositories for machine-learning-bvr-air-combat
Users that are interested in machine-learning-bvr-air-combat are comparing it to the libraries listed below
Sorting:
- The implementation of "An Imitative Reinforcement Learning Framework for Autonomous Dogfight"☆28Updated 3 months ago
- 3d manuver decision in air combat situations☆15Updated 3 years ago
- A series of air combat game environments packaged according to the gym interface for reinforcement learning.☆20Updated 2 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
- Official Implementation of "NeuralPlane: An Efficiently Parallelizable Platform for Fixed-wing Aircraft Control with Reinforcement Learni…☆33Updated 6 months ago
- ☆36Updated 2 weeks ago
- A tool that provides fast air combat simulation and display☆31Updated 4 years ago
- Gym environment for cooperative multi-agent reinforcement learning in heterogeneous robot teams☆46Updated 3 years ago
- ☆43Updated 5 years ago
- 基于强化学习的空战对抗☆70Updated 3 years ago
- ☆31Updated 2 years ago
- Python implementation of differential games - starting from simple 2 body pursuit/evader problems to more advanced scenarios.☆36Updated 5 years ago
- -A framework for path-planing and obstacle avoidance using Deep Reinforcement Learning Techniques☆32Updated 4 years ago
- Reinforcement learning algorithms for Algorithm, policy exploration in Air Learning☆48Updated 5 years ago
- A SAC implementation to use upon larocs/Drone_RL☆27Updated 4 years ago
- ☆40Updated 3 years ago
- Fully open architecture implementation of modern multi-agent coordination techniques.☆36Updated last month
- This code base enables multi-agent RL in the RLlib☆7Updated 3 years ago
- A collection of environments and reference agents for planning and reinforcement learning research in partially observable, multi-agent …☆21Updated 3 weeks ago
- OpenAI Gym environment designed for training RL agents to control the flight of a two-dimensional drone.☆52Updated 3 years ago
- Heterogeneous Hierarchical Multi Agent Reinforcement Learning for Air Combat☆117Updated 2 months ago
- DDPG algorithm for PID tuning☆28Updated 4 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…☆23Updated 2 years ago
- Multi-Agent Reinforcement Learning (MARL) method to learn scalable control polices for multi-agent target tracking.☆35Updated last year
- This repository contains Python scripts for multiple pursuer one evader differential pursuit evasion game.☆30Updated 5 years ago
- ☆60Updated 2 years ago
- A Gym Dogfighting Simulation Benchmark for Reinforcement Learning Research☆93Updated last year
- This is the official repository for the paper "Learning Multi-Pursuit Evasion for Safe Targeted Navigation of Drones".☆33Updated last year
- Python implementation of "Flocking for multi-agent dynamic systems: Algorithms and theory" by Olfati-Saber for multi-agent triangular for…☆44Updated 2 years ago
- A simple and fast 2D RL environment with obstacles to learn navigation.☆21Updated 5 years ago