JakobaRmn / Constraint_RL_MPC
Safe control of unknown dynamic systems with reinforcement learning and model predictive control
☆46Updated 5 years ago
Alternatives and similar repositories for Constraint_RL_MPC:
Users that are interested in Constraint_RL_MPC are comparing it to the libraries listed below
- Safety-aware MPC-based RL framework☆51Updated 2 months ago
- Repository containing the code for the paper "Safe Model-Based Reinforcement Learning using Robust Control Barrier Functions". Specifical…☆43Updated 2 years ago
- ☆62Updated 2 years ago
- CDC2024_submission_repository☆28Updated 6 months ago
- LiqunZhao / A-Barrier-Lyapunov-Actor-Critic-Reinforcement-Learning-Approach-for-Safe-and-Stable-Control☆24Updated last year
- ☆26Updated 2 years ago
- This repository contains the code for our paper on Dynamic Mirror Descent based MPC for Model-Free RL☆23Updated 2 years ago
- This repo is related to Deep Policy search using MPC.☆10Updated 2 years ago
- Thrid-party safety-gym safe exploration environments for autonomous driving. Also environment used for IROS 2021 paper: Model-based Const…☆32Updated 3 years ago
- a RL-MPC control scheme for Autonomous Driving☆13Updated 2 years ago
- Pytorch version of the MPC in model-based reinforcement learning (MBRL), currently only test in the CartPole-swing-up environment☆80Updated 4 years ago
- Adaptive dynamic programming(ADP) 自适应动态规划☆38Updated 4 years ago
- ADP demo code for Reinforcement Learning and Control, Tsinghua Univ. Lecture Notes.☆40Updated 2 years ago
- Model-Free Safe Reinforcement Learning through Neural Barrier Certificate☆32Updated 8 months ago
- ☆15Updated last year
- ☆19Updated 2 years ago
- Implementation of MPC-PEARL☆13Updated 7 months ago
- ☆11Updated last year
- ☆45Updated last month
- ☆42Updated 10 months ago
- Python code for implementing a set of basic robust model predictive control (RMPC) algorithms for linear systems.☆23Updated 2 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
- "Safety-Critical Control using Optimal-decay Control Barrier Functions with Guaranteed Point-wise Feasibility" by J. Zeng, B. Zhang, Z. L…☆27Updated 3 years ago
- Safety-critical control for autonomous systems☆10Updated last year
- Adaptive dynamic programming☆81Updated last week
- ☆11Updated last year
- Various Control Barrier Functions realized on cartpole.☆23Updated 7 months ago
- Tube based Model Predictive Control that utilize Neural Networks to improve performance with adaptive control inputs.☆17Updated 3 years ago
- Use DQN to boost MPC computation for dynamic obstacle avoidance.☆24Updated 4 months ago
- Code for paper: Event-triggered deep reinforcement learning using parallel control: A case study in autonomous driving.☆14Updated last year