LiqunZhao / Neural-ordinary-differential-equations-based-Lyapunov-Barrier-Actor-Critic-NLBACLinks
This is the code implementation of the Neural ordinary differential equations-based Lyapunov-Barrier Actor-Critic (NLBAC)
☆14Updated last year
Alternatives and similar repositories for Neural-ordinary-differential-equations-based-Lyapunov-Barrier-Actor-Critic-NLBAC
Users that are interested in Neural-ordinary-differential-equations-based-Lyapunov-Barrier-Actor-Critic-NLBAC are comparing it to the libraries listed below
Sorting:
- LiqunZhao / A-Barrier-Lyapunov-Actor-Critic-Reinforcement-Learning-Approach-for-Safe-and-Stable-Control☆38Updated last year
- Code needed to reproduce the examples found in "Learning Control Barrier Functions from Expert Demonstrations," by A. Robey, H. Hu, L. Li…☆73Updated 2 years ago
- Code for Learning Barrier Certificates: Towards Safe Reinforcement Learning with Zero Training-time Violations☆18Updated 3 years ago
- ☆30Updated 4 years ago
- Official open-source implementation of ICML 2022 paper: Reachability Constrainted Reinforcement Learning.☆37Updated 3 years ago
- Safety-aware MPC-based RL framework☆67Updated last year
- Repository containing the code for safe reinforcement learning in two custom environments☆45Updated 7 months ago
- ☆17Updated 3 years ago
- ☆41Updated 3 years ago
- This repository contains the code for our paper on Dynamic Mirror Descent based MPC for Model-Free RL☆26Updated 3 years ago
- Model-Free Safe Reinforcement Learning through Neural Barrier Certificate☆42Updated last year
- The repository is for Reinforcement-Learning Uncertainty research, in which we investigate various uncertain factors in RL.☆23Updated 2 years ago
- Learning Safe Multi-Agent Control with Decentralized Neural Barrier Certificates☆76Updated 2 years ago
- PyTorch Official Implementation of CoRL 2023 Paper: Neural Graph Control Barrier Functions Guided Distributed Collision-avoidance Multi-a…☆35Updated last year
- Various Control Barrier Functions realized on cartpole.☆25Updated last year
- Code accompanying "Value Functions are Control Barrier Functions: Verification of Safe Policies using Control Theory"☆31Updated last year
- Official implementation of the paper: Safe Model-Based Reinforcement Learning with an Uncertainty-Aware Reachability Certificate☆25Updated last year
- A Python package to make implementing control barrier functions (CBFs) and control Lyapunov functions (CLFs) simple.☆19Updated last year
- 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
- Thrid-party safety-gym safe exploration environments for autonomous driving. Also environment used for IROS 2021 paper: Model-based Const…☆37Updated 4 years ago
- Code for "On the Robustness of Safe Reinforcement Learning under Observational Perturbations" (ICLR 2023)☆46Updated 11 months ago
- Learning Certified Control Using Contraction Metric (CoRL 2020)☆32Updated 2 years ago
- Code for the NeurIPS 2021 paper "Safe Reinforcement Learning by Imagining the Near Future"☆48Updated 3 years ago
- Code for L4DC 2022 paper: Joint Synthesis of Safety Certificate and Safe Control Policy Using Constrained Reinforcement Learning.☆15Updated 2 years ago
- Papers on Safety Critical Controls using Control Barrier Functions☆45Updated last year
- ☆16Updated 2 years ago
- This is a python repo that implements control barrier function quadratic programming method.☆14Updated 3 years ago
- ☆62Updated 11 months ago
- Implementation of Recovery RL: Safe Reinforcement Learning With Learned Recovery Zones.☆59Updated 2 years ago
- Safe control of unknown dynamic systems with reinforcement learning and model predictive control☆53Updated 6 years ago