goodman110110110's starred repositories
dogfight-sandbox-hg1
Air to air combat game, created in Python 3 using HARFANG 3D.
3d-manuver-decision-in-air-combat-situations
3d manuver decision in air combat situations
genetic-ai
A simple simulator of BVR air combat to train a genetic AI
train-robot-arm-from-scratch
Build environment and train a robot arm from scratch (Reinforcement Learning)
Reinforcement-learning-with-tensorflow
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
Simulation_Wingman
Simulation of Loyal Wingman Drones
Awesome-Decision-Making-Reinforcement-Learning
A selection of state-of-the-art research materials on decision making and motion planning.
traffic-simulator-Q-learning
We propose a driver modeling process and its evaluation results of an intelligent autonomous driving policy, which is obtained through reinforcement learning techniques. Assuming a MDP decision making model, Q-learning method is applied to simple but descriptive state and action spaces, so that a policy is developed within limited computational load. The driver could perform reasonable maneuvers, like acceleration, deceleration or lane-changes, under usual traffic conditions on a multi-lane highway. A traffic simulator is also construed to evaluate a given policy in terms of collision rate, average travelling speed, and lane change times. Results show the policy gets well trained under reasonable time periods, where the driver acts interactively in the stochastic traffic environment, demonstrating low collision rate and obtaining higher travelling speed than the average of the environment. Sample traffic simulation videos are postedsit on YouTube.
TUBITAK-2209B
Simulation environment for autonomous air combat scenario using reinforcement learning. This repo can be used for benchmarking purposes,
air_combat
A series of air combat game environments packaged according to the gym interface for reinforcement learning.
Multiagent-reinforcement-learning-algorithms-for-multiple-UAV-confrontation
This is the source code of "Efficient training techniques for multi-agent reinforcement learning in combatant tasks".
rl_ardrone
Autonomous Navigation of UAV using Reinforcement Learning algorithms.
effective-missile-launch
2022 Winter Simulation Conference (WSC)
Deep_reinforcement_learning_Course
Implementations from the free course Deep Reinforcement Learning with Tensorflow
machine-learning-bvr-air-combat
Python code for the paper Machine Learning to Improve Situational Awareness in Beyond Visual Range Air Combat.
ML2022-Spring
**Official** 李宏毅 (Hung-yi Lee) 機器學習 Machine Learning 2022 Spring
RL_air-combat
基于强化学习的空战对抗
Fast-Combat-Simulation
A tool that provides fast air combat simulation and display
air-combat-Reinforcement-Learning
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。
dogfight-sandbox-hg2
Air to air combat sandbox, created in Python 3 using the HARFANG 3D 2 framework.
SAR-change-detection
Change detection in polarimetric SAR images in Python
DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
Fast-Planner
A Robust and Efficient Trajectory Planner for Quadrotors