nphamilton / stl-gymLinks
A tool for modifying reinforcement learning environments to incorporate Signal Temporal Logic (STL) specifications in the reward function.
☆10Updated 2 years ago
Alternatives and similar repositories for stl-gym
Users that are interested in stl-gym 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…☆70Updated last year
- ☆24Updated 3 years ago
- ☆71Updated last year
- [IROS 22'] Model-free Neural Lyapunov Control☆23Updated 2 years ago
- Control Synthesis from Formal Specifications using Reinforcement Learning☆25Updated last month
- Code for “Signal Temporal Logic meets Hamilton-Jacobi Reachability: Connections and Applications” by Mo Chen, Qizhan Tam, Scott C. Living…☆15Updated 6 years ago
- Learning Safe Multi-Agent Control with Decentralized Neural Barrier Certificates☆75Updated 2 years ago
- Learning Certified Control Using Contraction Metric (CoRL 2020)☆30Updated 2 years ago
- ☆18Updated 2 years ago
- Lyapunov-stable Neural Control for State and Output Feedback☆69Updated last year
- Formal Verification of Neural Feedback Loops (NFLs)☆79Updated 10 months ago
- ☆72Updated 2 months ago
- Code for Learning Barrier Certificates: Towards Safe Reinforcement Learning with Zero Training-time Violations☆18Updated 3 years ago
- A python library for control from Signal Temporal Logic (STL) specifications☆46Updated last month
- ☆28Updated 3 years ago
- Mobile Robot Control via Goal-Conditioned Reinforcement Learning☆21Updated last year
- Learning Lyapunov functions and control policies of nonlinear dynamical systems☆134Updated 4 years ago
- ☆17Updated 3 years ago
- Safe Pontryagin Differentiable Programming (Safe PDP) is a new theoretical and algorithmic safe differentiable framework to solve a broad…☆70Updated 2 years ago
- Path planning from STL (Signal Temporal Logic) specifications☆55Updated 2 years ago
- ☆53Updated 5 months ago
- Synthesizing neural-network Lyapunov functions (and controllers) as stability certificate.☆163Updated last month
- Jax version of F16 dynamics☆22Updated 11 months ago
- Toolkit for learning controllers based on robust control Lyapunov barrier functions☆168Updated last year
- ☆14Updated 2 years ago
- PyTorch Official Implementation of CoRL 2023 Paper: Neural Graph Control Barrier Functions Guided Distributed Collision-avoidance Multi-a…☆33Updated last year
- ☆56Updated 3 years ago
- An MPC algorithm which supports polytopic state and action constraints, using CEM optimisation.☆16Updated 5 years ago
- Pytorch implementation of Model Predictive Control with learned models☆30Updated 4 years ago
- Various Control Barrier Functions realized on cartpole.☆25Updated last year