MIT-REALM / macbfLinks
Learning Safe Multi-Agent Control with Decentralized Neural Barrier Certificates
☆75Updated 2 years ago
Alternatives and similar repositories for macbf
Users that are interested in macbf are comparing it to the libraries listed below
Sorting:
- Code needed to reproduce the examples found in "Learning Control Barrier Functions from Expert Demonstrations," by A. Robey, H. Hu, L. Li…☆71Updated 2 years ago
- Official open-source implementation of ICML 2022 paper: Reachability Constrainted Reinforcement Learning.☆37Updated 3 years ago
- ☆155Updated 6 years ago
- Model-Free Safe Reinforcement Learning through Neural Barrier Certificate☆40Updated last year
- Toolkit for learning controllers based on robust control Lyapunov barrier functions☆171Updated last year
- Repository containing the code for safe reinforcement learning in two custom environments☆45Updated 4 months ago
- Learning Certified Control Using Contraction Metric (CoRL 2020)☆30Updated 2 years ago
- LiqunZhao / A-Barrier-Lyapunov-Actor-Critic-Reinforcement-Learning-Approach-for-Safe-and-Stable-Control☆32Updated last year
- Implementation of Recovery RL: Safe Reinforcement Learning With Learned Recovery Zones.☆59Updated 2 years ago
- ☆40Updated 2 years ago
- Code for Learning Barrier Certificates: Towards Safe Reinforcement Learning with Zero Training-time Violations☆18Updated 3 years ago
- ☆21Updated 2 years ago
- ☆53Updated 7 months ago
- Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method☆66Updated 2 years ago
- ☆73Updated 3 months ago
- PyTorch Official Implementation of CoRL 2023 Paper: Neural Graph Control Barrier Functions Guided Distributed Collision-avoidance Multi-a…☆33Updated last year
- ☆11Updated 3 weeks ago
- The aim of this repo is to bring ideas and relevant literature relating to Safe-RL in the context of autonomous vehicles.☆48Updated 7 years ago
- ☆28Updated 3 years ago
- Safe Multi-Agent MuJoCo benchmark for safe multi-agent reinforcement learning research.☆65Updated last year
- Thrid-party safety-gym safe exploration environments for autonomous driving. Also environment used for IROS 2021 paper: Model-based Const…☆35Updated 4 years ago
- ☆18Updated 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…☆33Updated 4 years ago
- Sampling based Model Predictive Control package for Model-Based RL research☆55Updated 4 years ago
- Control Synthesis from Formal Specifications using Reinforcement Learning☆24Updated last week
- ☆72Updated last year
- 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☆10Updated 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
- Implementations of safe reinforcement learning algorithms☆28Updated last year
- Safe Multi-Agent Robosuite benchmark for safe multi-agent reinforcement learning research.☆23Updated last year