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 5 years ago
Alternatives and similar repositories for deep_meta-learning_guidance_law:
Users that are interested in deep_meta-learning_guidance_law are comparing it to the libraries listed below
- 预测-校正学习计算制导律☆11Updated 3 years ago
- Code for paper "Learning to Guide: Guidance Law Based on Deep Meta-learning and Model Predictive Path Integral Control"☆8Updated 5 years ago
- Studied RL agent-based Guidance Laws and Optimal Control techniques for Surface-to-Air Missile Guidance. Simulated optimal trajectory for…☆30Updated 3 years ago
- Implementation of Incremental Heuristic Dynamic Programming with Neural Networks as Actor and Critic function appoximators.☆11Updated 2 years ago
- Code to reproduce results in peer-reviewed publications☆18Updated last month
- A basic Python implementation of a Legendre-Gauss-Radau pseudospectral method for computational optimal control.☆12Updated 8 months ago
- ☆9Updated 7 years ago
- Python implementation of differential games - starting from simple 2 body pursuit/evader problems to more advanced scenarios.☆33Updated 4 years ago
- Implementation of a paper on adaptive optimal control (solving ARE) based on policy iterations☆26Updated 5 years ago
- ☆14Updated 4 years ago
- Adaptive dynamic programming(ADP) 自适应动态规划☆38Updated 4 years ago
- Adaptive dynamic programming☆81Updated last week
- This repository contains Python scripts for multiple pursuer one evader differential pursuit evasion game.☆27Updated 4 years ago
- This example uses Soft Actor Critic(SAC) based reinforcement learning to develop the mobile robot navigation. For a brief summary of the …☆12Updated 3 years ago
- EXPSIN / Quadratic-Programming-for-Continuous-Control-of-Safety-Critical-Multi-Agent-Systems-Under-UncertaintQuadratic Programming for Continuous Control of Safety-Critical Multi-Agent Systems Under Uncertainty☆11Updated 4 months 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…☆22Updated last year
- RL based robust controller for quadrotor.☆27Updated 2 years ago
- We present a new comparative study of the paper from Hansson and Boyd Robust Optimal Control of Linear Discrete-Time Systems using Primal…☆13Updated 4 years ago
- code I used for my RL-based spacecraft attitude control research project.☆12Updated 3 years ago
- This repository contains the open source code used to generate the simulation results shown in the manuscript "Jaeyoung Lee and Richard S…☆11Updated 3 years ago
- Several ADP algorithms code for the data-driven optimal control of linear time-varying systems☆15Updated 2 years ago
- MATLAB simulation and final report/presentation for M.S. thesis. "Adaptive Dynamic Programming for Human Postural Balance Control"☆14Updated 6 years ago
- The Code of the paper: "ABCS Flocking: A Leader-Follower Collision Free UAV Flocking System with Multi-Agent Reinforcement Learning"☆12Updated 7 months ago
- ☆19Updated 2 years ago
- Safe control of unknown dynamic systems with reinforcement learning and model predictive control☆46Updated 5 years ago
- This repository includes a realization of the resilient projection-based consensus actor-critic algorithm that is resilient to adversaria…☆10Updated 2 years ago
- Research Project on Multi-robot Target Tracking via Deep Reinforcement Learning☆18Updated 4 years ago
- This project attempts to use Reinforcement Learning to train a model to perform simple maneuvers, plan navigation and avoid dynamic obsta…☆10Updated 2 years ago
- ☆44Updated 3 years ago
- the code implements a training algorithm for a tracking control system using dynamic programming and reinforcement learning. It uses neur…☆15Updated last year