Spinkoo / Matlab2TorchRL
This project is a pipeline that connects a Matlab simulation (Simulink) to an OpenAI Gym wrapper for PyTorch Reinforcement Learning using the DQN algorithm.
☆14Updated 8 months ago
Alternatives and similar repositories for Matlab2TorchRL:
Users that are interested in Matlab2TorchRL are comparing it to the libraries listed below
- RL implementation in course 'Control for Robotics' at U of T, includes Generalized Policy Iteration, Monte Carlo and Q-Learning in MATLAB☆12Updated 2 years ago
- Repository containing the code for the paper "Safe Model-Based Reinforcement Learning using Robust Control Barrier Functions". Specifical…☆44Updated 2 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
- ☆30Updated 6 years ago
- Safe control of unknown dynamic systems with reinforcement learning and model predictive control☆47Updated 5 years ago
- Collection of materials and code samples on reinforcement learning / optimal control and game theory☆13Updated this week
- ADP demo code for Reinforcement Learning and Control, Tsinghua Univ. Lecture Notes.☆40Updated 2 years ago
- ☆14Updated last year
- OpenAI Gym environments for Quadrotor UAV☆15Updated this week
- the code implements a training algorithm for a tracking control system using dynamic programming and reinforcement learning. It uses neur…☆16Updated last year
- Python implementation of "Flocking for multi-agent dynamic systems: Algorithms and theory" by Olfati-Saber for multi-agent triangular for…☆41Updated 2 years ago
- Code for paper: Event-triggered deep reinforcement learning using parallel control: A case study in autonomous driving.☆16Updated last year
- MATLAB simulation and final report/presentation for M.S. thesis. "Adaptive Dynamic Programming for Human Postural Balance Control"☆14Updated 6 years ago
- -A framework for path-planing and obstacle avoidance using Deep Reinforcement Learning Techniques☆33Updated 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 …☆13Updated 3 years ago
- Implementation of a paper on adaptive optimal control (solving ARE) based on policy iterations☆26Updated 5 years ago
- Multi Agent SAC and DDPG applied to path finding in a 3-dimensional grid☆12Updated 3 years ago
- Code to reproduce results in peer-reviewed publications☆18Updated last month
- Safety-aware MPC-based RL framework☆54Updated 3 months ago
- LiqunZhao / A-Barrier-Lyapunov-Actor-Critic-Reinforcement-Learning-Approach-for-Safe-and-Stable-Control☆25Updated last year
- Code for paper "Learning to Guide: Guidance Law Based on Deep Meta-learning and Model Predictive Path Integral Control"☆16Updated 5 years ago
- Adaptive dynamic programming(ADP) 自适应动态规划☆41Updated 4 years ago
- Develop agent-based traffic management system by model-free reinforcement learning☆48Updated 4 years ago
- POMG algorithm for large-scale pursuit game with partial observation and no communication.☆20Updated last week
- Implementation of Incremental Heuristic Dynamic Programming with Neural Networks as Actor and Critic function appoximators.☆11Updated 2 years ago
- Several ADP algorithms code for the data-driven optimal control of linear time-varying systems☆17Updated 2 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☆12Updated 6 months ago
- Contains all research-related code for publications by Brent Wallace, Arizona State University☆12Updated 2 years ago