LiqunZhao / A-Barrier-Lyapunov-Actor-Critic-Reinforcement-Learning-Approach-for-Safe-and-Stable-ControlLinks
☆33Updated 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
Sorting:
- Repository containing the code for safe reinforcement learning in two custom environments☆45Updated 5 months ago
- Safety-aware MPC-based RL framework☆65Updated 10 months ago
- Safe control of unknown dynamic systems with reinforcement learning and model predictive control☆53Updated 6 years ago
- Model-Free Safe Reinforcement Learning through Neural Barrier Certificate☆40Updated last year
- ☆40Updated 2 years ago
- Thrid-party safety-gym safe exploration environments for autonomous driving. Also environment used for IROS 2021 paper: Model-based Const…☆35Updated 4 years ago
- Official open-source implementation of ICML 2022 paper: Reachability Constrainted Reinforcement Learning.☆36Updated 3 years ago
- ☆21Updated 2 years ago
- 新增一个CBF层,并将其结合进actor网络中,得到safe RL框架。后续验证中发现这种做法并没有实质性的用处,所以不再继续这个项目☆11Updated 2 years ago
- CDC2024_submission_repository☆44Updated last year
- ☆17Updated 2 years ago
- Pytorch version of the MPC in model-based reinforcement learning (MBRL), currently only test in the CartPole-swing-up environment☆88Updated 5 years ago
- ☆155Updated 6 years ago
- Learning Safe Multi-Agent Control with Decentralized Neural Barrier Certificates☆76Updated 2 years ago
- Proof of concept example for the idea of using distributed model predictive control as a function approximator in distributed reinforceme…☆16Updated 6 months 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…☆34Updated 4 years ago
- ☆76Updated 3 years ago
- This repository contains the code for our paper on Dynamic Mirror Descent based MPC for Model-Free RL☆24Updated 3 years ago
- Various Control Barrier Functions realized on cartpole.☆24Updated last year
- Implementation of MPC-PEARL☆13Updated last year
- PyTorch Official Implementation of CoRL 2023 Paper: Neural Graph Control Barrier Functions Guided Distributed Collision-avoidance Multi-a…☆33Updated last year
- Code needed to reproduce the examples found in "Learning Control Barrier Functions from Expert Demonstrations," by A. Robey, H. Hu, L. Li…☆72Updated 2 years ago
- Code for L4DC 2022 paper: Joint Synthesis of Safety Certificate and Safe Control Policy Using Constrained Reinforcement Learning.☆15Updated 2 years ago
- The aim of this repo is to bring ideas and relevant literature relating to Safe-RL in the context of autonomous vehicles.☆49Updated 7 years ago
- Toolkit for learning controllers based on robust control Lyapunov barrier functions☆172Updated last year
- Official implementation of the paper: Safe Model-Based Reinforcement Learning with an Uncertainty-Aware Reachability Certificate☆24Updated last year
- Koopman Q-learning: Offline Reinforcement Learning via Symmetries of Dynamics.☆21Updated 2 years ago
- Code for paper Feasible Actor-Critic: Constrained Reinforcement Learning for Ensuring Statewise Safety.☆20Updated 3 years ago
- Code for "On the Robustness of Safe Reinforcement Learning under Observational Perturbations" (ICLR 2023)☆45Updated 9 months ago
- This is the code implementation of the Neural ordinary differential equations-based Lyapunov-Barrier Actor-Critic (NLBAC)☆13Updated last year