nphamilton / stl-gymLinks
A tool for modifying reinforcement learning environments to incorporate Signal Temporal Logic (STL) specifications in the reward function.
☆11Updated 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:
- ☆71Updated last year
- 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
- [IROS 22'] Model-free Neural Lyapunov Control☆23Updated 2 years ago
- Learning Certified Control Using Contraction Metric (CoRL 2020)☆30Updated 2 years ago
- Control Synthesis from Formal Specifications using Reinforcement Learning☆25Updated 2 months ago
- A python library for control from Signal Temporal Logic (STL) specifications☆46Updated last month
- ☆53Updated 6 months ago
- ☆18Updated 2 years ago
- Code for “Signal Temporal Logic meets Hamilton-Jacobi Reachability: Connections and Applications” by Mo Chen, Qizhan Tam, Scott C. Living…☆15Updated 6 years ago
- Toolkit for learning controllers based on robust control Lyapunov barrier functions☆172Updated last year
- ☆73Updated 3 months ago
- ☆39Updated 2 years ago
- The reimplementation of Model Predictive Path Integral (MPPI) from the paper "Information Theoretic MPC for Model-Based Reinforcement Lea…☆101Updated last month
- Lyapunov-stable Neural Control for State and Output Feedback☆73Updated last year
- Learning Safe Multi-Agent Control with Decentralized Neural Barrier Certificates☆75Updated 2 years ago
- ☆14Updated 2 years ago
- Model Predictive Actor-Critic Reinforcement Learning☆64Updated 3 years ago
- Mobile Robot Control via Goal-Conditioned Reinforcement Learning☆21Updated last year
- ☆28Updated 3 years ago
- Learning Lyapunov functions and control policies of nonlinear dynamical systems☆134Updated 4 years ago
- An MPC algorithm which supports polytopic state and action constraints, using CEM optimisation.☆16Updated 5 years ago
- Implementation of Recovery RL: Safe Reinforcement Learning With Learned Recovery Zones.☆59Updated 2 years ago
- Synthesizing neural-network Lyapunov functions (and controllers) as stability certificate.☆166Updated 2 months ago
- Learning algorithm implementation and experiments in the paper "A Composable Specification Language for Reinforcement Learning Tasks" (ht…☆17Updated 4 years ago
- Various Control Barrier Functions realized on cartpole.☆24Updated last year
- ☆87Updated 2 years ago
- Code for Learning Barrier Certificates: Towards Safe Reinforcement Learning with Zero Training-time Violations☆18Updated 3 years ago
- Safe Pontryagin Differentiable Programming (Safe PDP) is a new theoretical and algorithmic safe differentiable framework to solve a broad…☆70Updated 3 years ago
- An Efficient Convex Optimization-based Framework for Signal Temporal Logic (STL) Specifications☆15Updated 2 years ago