oscarkey / constrained-cem-mpcLinks
An MPC algorithm which supports polytopic state and action constraints, using CEM optimisation.
☆16Updated 6 years ago
Alternatives and similar repositories for constrained-cem-mpc
Users that are interested in constrained-cem-mpc are comparing it to the libraries listed below
Sorting:
- Model Predictive Actor-Critic Reinforcement Learning☆68Updated 4 years ago
- 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
- ☆14Updated 2 years ago
- Cross Entropy Method implemented in pytorch☆37Updated 3 years ago
- ☆31Updated 4 years ago
- Formulating Model-based RL Dynamics as a continuous rather then one step prediction☆36Updated 3 years ago
- The reimplementation of Model Predictive Path Integral (MPPI) from the paper "Information Theoretic MPC for Model-Based Reinforcement Lea…☆104Updated 6 months ago
- improved Cross Entropy Method for trajectory optimization☆82Updated 4 years ago
- ☆86Updated 9 months ago
- Trajectory optimization algorithms for robotic control.☆117Updated 3 years ago
- Robot Reinforcement Learning on the Constraint Manifold☆58Updated 4 years ago
- Learning Safe Multi-Agent Control with Decentralized Neural Barrier Certificates☆76Updated 2 years ago
- Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method☆66Updated 2 years ago
- ☆77Updated last year
- Implementation of Recovery RL: Safe Reinforcement Learning With Learned Recovery Zones.☆59Updated 2 years ago
- Sampling based Model Predictive Control package for Model-Based RL research☆56Updated 5 years ago
- This is the code repository for the DuSt-MPC paper, published at Robotics: Science and Systems (RSS) 2021.☆30Updated 4 years ago
- Learning Certified Control Using Contraction Metric (CoRL 2020)☆34Updated 3 years ago
- Learning Lyapunov functions and control policies of nonlinear dynamical systems☆143Updated 4 years ago
- Safe Multi-Agent Isaac Gym benchmark for safe multi-agent reinforcement learning research.☆65Updated last year
- Various Control Barrier Functions realized on cartpole.☆25Updated last year
- Toolkit for learning controllers based on robust control Lyapunov barrier functions☆180Updated last year
- ☆58Updated last year
- Code for the paper Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization☆68Updated 5 years ago
- Pytorch implementation of Model Predictive Control with learned models☆30Updated 5 years ago
- Implementation of safety augmented value estimation from demonstrations (SAVED)☆24Updated 6 years ago
- Control Synthesis from Formal Specifications using Reinforcement Learning☆24Updated 5 months ago
- Mobile Robot Control via Goal-Conditioned Reinforcement Learning☆23Updated 2 years ago
- Safe Pontryagin Differentiable Programming (Safe PDP) is a new theoretical and algorithmic safe differentiable framework to solve a broad…☆71Updated 3 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