Alternatives and similar repositories for Computational-TSG

Users that are interested in Computational-TSG are comparing it to the libraries listed below

• BenjyWP / deep_meta-learning_guidance_law
  Code for paper "Learning to Guide: Guidance Law Based on Deep Meta-learning and Model Predictive Path Integral Control"
  ☆16Updated 6 years ago
• sankalp-s / Missile-Guidance-and-RL
  Studied RL agent-based Guidance Laws and Optimal Control techniques for Surface-to-Air Missile Guidance. Simulated optimal trajectory for…
  ☆32Updated 4 years ago
• priyanshu11137 / Missile-Guidance-Using-Reinforcement-Learning
  This project was done under the supervision of Prof. Twinkle Tripathy ,Assistant Professor,Department of ELectrical Engineering,IIT Kanpr…
  ☆18Updated 2 years ago
• xwxing1229 / The_Adaptive_Dynamic_Programming_Toolbox
  ☆48Updated 3 years ago
• camillasterud / gym-auv
  OpenAI gym environment for collision avoidance and path following with an AUV
  ☆33Updated 6 years ago
• savinay95n / Reinforcement-learning-Algorithms-and-Dynamic-Programming
  Reinforcement learning Algorithms such as SARSA, Q learning, Actor-Critic Policy Gradient and Value Function Approximation were applied t…
  ☆117Updated 3 years ago
• cuntou0906 / Adaptive-dynamic-programming
  Adaptive dynamic programming（ADP） 自适应动态规划
  ☆46Updated 4 years ago
• lujingweihh / Adaptive-dynamic-programming-algorithms
  Adaptive dynamic programming
  ☆128Updated last month
• WZN1ng / Cooperative-Search
  Multi-agent RL algorithms are applied to large-scale cooperative target searching mission
  ☆39Updated 2 years ago
• yushinliu / Adaptive-Dynamic-programming
  ☆32Updated 6 years ago
• MBaranPeker / Pursuit-Evasion-Game-with-Deep-Reinforcement-Learning-in-an-environment-with-an-obstacle
  In this study, a multi agent chase-escape problem using Deep Q learning. Actors of the problem are smart evader and smart pursuers with o…
  ☆25Updated 2 years ago
• Erikx3 / gym_dockauv
  Gym Environment for AUV docking procedure
  ☆10Updated 2 years ago
• ZeinBarhoum / RL-quadrotor
  Reinforcement Learning for quadrotor trajectory planning and control
  ☆61Updated 2 years ago
• mahaitongdae / Approximate-Dynamic-Programming
  ADP demo code for Reinforcement Learning and Control, Tsinghua Univ. Lecture Notes.
  ☆43Updated 3 years ago
• SamuelMallick / dmpcrl-concept
  Proof of concept example for the idea of using distributed model predictive control as a function approximator in distributed reinforceme…
  ☆16Updated 6 months ago
• aofenghanyue / EntryGuidance
  multiple missiles cooperative hypersonic entry gandance law
  ☆25Updated 3 years ago
• komxun / IFDS-Algorithm
  A path planning algorithm based on Interfered Fluid Dynamical System (IFDS)
  ☆11Updated last year
• aalu1418 / differential-games
  Python implementation of differential games - starting from simple 2 body pursuit/evader problems to more advanced scenarios.
  ☆36Updated 5 years ago
• Wanderingss / PG-GrHDP
  Model-free event-triggered optimal control with performance guarantees via goal representation heuristic dynamic programming
  ☆14Updated 3 years ago
• joigalcar3 / IHDP
  Implementation of Incremental Heuristic Dynamic Programming with Neural Networks as Actor and Critic function appoximators.
  ☆11Updated 2 years ago
• threemmm / ML-Q-Learning-Robot-in-Maze-MATLAB
  Implementation of Reinforcement learning using Q learning algorithm- Robot in Maze - Matlab
  ☆28Updated 5 years ago
• rishabbala / Pursuit-Evasion
  This repository contains Python scripts for multiple pursuer one evader differential pursuit evasion game.
  ☆30Updated 5 years ago
• kunqian2025 / reinforcement-learning
  Implementation of Single-Agent and Multi-Agent Reinforcement Learning Algorithms. MATLAB.
  ☆70Updated 7 years ago
• ZYunfeii / DRL_algorithm_library
  This is a reinforcement learning algorithm library. The code takes into account both performance and simplicity, with little dependence.
  ☆104Updated 3 years ago
• AndreuMatoses / scalable-collision-avoidance-RL
  Multi agent scalable reinforcement learning for formation control with collision avoidance
  ☆44Updated 9 months ago
• mithun-bharadwaj / Adaptive_Optimal_Control
  Implementation of a paper on adaptive optimal control (solving ARE) based on policy iterations
  ☆30Updated 6 years ago
• DalBigData / Vessel-RL-Environment
  ☆20Updated 2 years ago
• imasmitja / RLforUTracking
  Deep Reinforcement Learning (RL) algorithms for underwater target tracking with Autonomous Underwater Vehicles (AUV)
  ☆119Updated 3 years ago
• AbsoluteNegativity / DRL4DAPTA
  UAV PATH TRACKING AND DYNAMIC AVOIDANCE BASED ON ADS-B AND DEEP REINFORCEMENT LEARNING for Univerisity of Bristol RP3 final
  ☆12Updated 2 years ago
• eivindeb / fixed-wing-gym
  ☆41Updated 3 years ago