MIT-REALM / efppoLinks
☆11Updated last year
Alternatives and similar repositories for efppo
Users that are interested in efppo are comparing it to the libraries listed below
Sorting:
- Safety-aware MPC-based RL framework☆72Updated last year
- LiqunZhao / A-Barrier-Lyapunov-Actor-Critic-Reinforcement-Learning-Approach-for-Safe-and-Stable-Control☆39Updated 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.☆51Updated 7 years ago
- Repository containing the code for safe reinforcement learning in two custom environments☆46Updated 9 months ago
- This repository contains the code for our paper on Dynamic Mirror Descent based MPC for Model-Free RL☆26Updated 4 years ago
- Pytorch version of the MPC in model-based reinforcement learning (MBRL), currently only test in the CartPole-swing-up environment☆90Updated 5 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
- Learning Certified Control Using Contraction Metric (CoRL 2020)☆34Updated 3 years ago
- Model-Free Safe Reinforcement Learning through Neural Barrier Certificate☆45Updated last year
- Code for L4DC 2022 paper: Joint Synthesis of Safety Certificate and Safe Control Policy Using Constrained Reinforcement Learning.☆15Updated 2 years ago
- Code for "On the Robustness of Safe Reinforcement Learning under Observational Perturbations" (ICLR 2023)☆46Updated last year
- Safe control of unknown dynamic systems with reinforcement learning and model predictive control☆53Updated 6 years ago
- CDC2024_submission_repository☆47Updated last year
- Official implementation of the paper: Safe Model-Based Reinforcement Learning with an Uncertainty-Aware Reachability Certificate☆25Updated 2 years ago
- ☆14Updated 6 months ago
- Code for Learning Barrier Certificates: Towards Safe Reinforcement Learning with Zero Training-time Violations☆18Updated 3 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…☆34Updated 4 years ago
- Official open-source implementation of ICML 2022 paper: Reachability Constrainted Reinforcement Learning.☆39Updated 3 years ago
- Koopman Q-learning: Offline Reinforcement Learning via Symmetries of Dynamics.☆22Updated 2 years ago
- Bi-Level Optimization Augmented with Conditional Variational Autoencoder for Autonomous Driving in Dense Traffic☆16Updated 2 years ago
- This repository contains all the supplementary material associated to the paper with title "Physics-Informed Multi-Agent Reinforcement Le…☆19Updated 3 months ago
- Safety Critical Control of Autonomous Vehicles by Control Barrier Functions☆16Updated 3 years ago
- ☆43Updated 3 years ago
- Learning Safe Multi-Agent Control with Decentralized Neural Barrier Certificates☆76Updated 2 years ago
- MISO: Learning Multiple Initial Solutions to Optimization Problems☆16Updated last year
- [IROS 22'] Model-free Neural Lyapunov Control☆28Updated 2 years ago
- This is the code implementation of the Neural ordinary differential equations-based Lyapunov-Barrier Actor-Critic (NLBAC)☆14Updated 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
- ☆19Updated 2 years ago
- The repository is for Reinforcement-Learning Uncertainty research, in which we investigate various uncertain factors in RL.☆23Updated 2 years ago