Flight315's starred repositories
NSGA2-Multi-target-scheduling-of-reservoirs
采用NSGA2算法进行多目标优化问题的求解，优化调度目标包括生态需水量最小、发电效益最大
KalmanFilter
卡尔曼滤波python3代码
FactoredValueMCTS.jl
Scalable MCTS for team scenarios
AircraftTrajectoryPredictor
Jet Aircraft Trajectory Prediction based upon BADA
Book3_Elements-of-Mathematics
Book_3_《数学要素》 | 鸢尾花书：从加减乘除到机器学习；上架；欢迎继续纠错，纠错多的同学还会有赠书！
ConflictAvoidanceDASC
Conflict avoidance algorithm for unmanned aircraft traffic management
rl-agent-based-traffic-control
Develop agent-based traffic management system by model-free reinforcement learning
Q-Learning-SARSA-Policy-and-Value-Iteration
Implementation of basic reinforcement learning algorithms (Q-learning, SARSA, Policy iteration and Value Iteration) on benchmark RL MDPs (GridWorld, SmallWorld and CliffWorld)
Mini-Project-64130006-
Mini project: Python program that detect aircraft conflict.
AircraftTrajectoryPredictionNG
Aircraft Trajectory Prediction Python 3
Awesome-LLM-RL
A comprehensive list of PAPERS, CODEBASES, and, DATASETS on Decision Making using Foundation Models including LLMs and VLMs.
Multi-aircraft-conflict-resolution-based-on-multi-agent-reinforcement-learning
The source code is the entry for 2022 EUROCONTROL Air Transport Innovation Network Innovation Masterclass. The reinforcement learning model and algorithm are provide by the team of Cranfield University (Yutong Chen, with Rodolphe Fremond, Arinc Altun, Dr. Mehmet Hasanzade, Dr. Yan Xu, and Prof. Gokhan Inalhan). The model is an extention of the study by the team of Nanjing University of Aeronautics and Astronautics(Yutong Chen, with Lei Yang, Hua Xie and Minghua Hu) The simulation environment is provided by EUROCONTROL (Ramon Dalmau-Codina). The source code is only for study and communication.