LiqunZhao / A-Barrier-Lyapunov-Actor-Critic-Reinforcement-Learning-Approach-for-Safe-and-Stable-Control
☆25Updated last year
Alternatives and similar repositories for A-Barrier-Lyapunov-Actor-Critic-Reinforcement-Learning-Approach-for-Safe-and-Stable-Control:
Users that are interested in A-Barrier-Lyapunov-Actor-Critic-Reinforcement-Learning-Approach-for-Safe-and-Stable-Control are comparing it to the libraries listed below
- Repository containing the code for the paper "Safe Model-Based Reinforcement Learning using Robust Control Barrier Functions". Specifical…☆43Updated 2 years ago
- Model-Free Safe Reinforcement Learning through Neural Barrier Certificate☆32Updated 9 months ago
- Safety-aware MPC-based RL framework☆51Updated 3 months 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
- Official open-source implementation of ICML 2022 paper: Reachability Constrainted Reinforcement Learning.☆34Updated 2 years ago
- ☆27Updated 2 years ago
- ☆19Updated 2 years ago
- Safe control of unknown dynamic systems with reinforcement learning and model predictive control☆46Updated 5 years ago
- CDC2024_submission_repository☆29Updated 6 months ago
- Implementation of MPC-PEARL☆13Updated 7 months ago
- PyTorch Official Implementation of CoRL 2023 Paper: Neural Graph Control Barrier Functions Guided Distributed Collision-avoidance Multi-a…☆28Updated 8 months ago
- ☆11Updated 3 years ago
- This repository contains the code for our paper on Dynamic Mirror Descent based MPC for Model-Free RL☆23Updated 3 years ago
- ☆13Updated last year
- Various Control Barrier Functions realized on cartpole.☆24Updated 7 months ago
- Official implementation of the paper: Safe Model-Based Reinforcement Learning with an Uncertainty-Aware Reachability Certificate☆20Updated last year
- Use DQN to boost MPC computation for dynamic obstacle avoidance.☆26Updated 5 months ago
- This repo is related to Deep Policy search using MPC.☆11Updated 2 years ago
- We use reachability to ensure the safety of a decision agent acting on a dynamic system in real-time. We compute the Forward Reachable Se…☆32Updated 3 years ago
- Learning Safe Multi-Agent Control with Decentralized Neural Barrier Certificates☆73Updated last year
- Safety Critical Control of Autonomous Vehicles by Control Barrier Functions☆15Updated 2 years ago
- This is a python repo that implements control barrier function quadratic programming method.☆12Updated 3 years ago
- Code for paper Feasible Actor-Critic: Constrained Reinforcement Learning for Ensuring Statewise Safety.☆19Updated 2 years ago
- Code needed to reproduce the examples found in "Learning Control Barrier Functions from Expert Demonstrations," by A. Robey, H. Hu, L. Li…☆61Updated last year
- Integrating Reinforcement Learning and Model Predictive Control for Enhancing Safety in Automated Vehicle Systems☆11Updated last year
- Papers on Safety Critical Controls using Control Barrier Functions☆32Updated 3 months ago
- ☆15Updated last year
- ☆12Updated last year
- ☆65Updated 2 years ago
- ☆17Updated 2 years ago