locuslab / mpc.pytorch
A fast and differentiable model predictive control (MPC) solver for PyTorch.
☆941Updated 8 months ago
Alternatives and similar repositories for mpc.pytorch:
Users that are interested in mpc.pytorch are comparing it to the libraries listed below
- ☆277Updated 2 years ago
- PythonLinearNonLinearControl is a library implementing the linear and nonlinear control theories in python.☆917Updated 3 years ago
- Iterative Linear Quadratic Regulator with auto-differentiatiable dynamics models☆409Updated 2 years ago
- PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL☆716Updated this week
- References on Optimal Control, Reinforcement Learning and Motion Planning☆954Updated 3 years ago
- MPC with Gaussian Process☆212Updated 5 years ago
- Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆446Updated last year
- Model Predictive Path Integral (MPPI) with approximate dynamics implemented in pytorch☆543Updated 5 months ago
- Model predictive control python toolbox☆1,130Updated last month
- Reinforcement Learning with Model Predictive Control☆438Updated last month
- Python codes for advanced control☆512Updated 6 years ago
- A Model Predictive Control (MPC) Python library based on the OSQP solver.☆210Updated 3 years ago
- ☆342Updated 7 years ago
- Safe reinforcement learning with stability guarantees☆232Updated 3 years ago
- Use PyTorch Models with CasADi for data-driven optimization or learning-based optimal control. Supports Acados.☆448Updated last month
- Bayesian Reinforcement Learning in Tensorflow☆321Updated 4 years ago
- Code for "Temporal Difference Learning for Model Predictive Control"☆430Updated last year
- Implementation of the Learning Model Predictive Controller for autonomous racing☆301Updated 4 years ago
- A unified end-to-end learning and control framework that is able to learn a (neural) control objective function, dynamics equation, contr…☆173Updated last year
- Fast and embedded solvers for nonlinear optimal control and nonlinear model predictive control☆961Updated this week
- S-RL Toolbox: Reinforcement Learning (RL) and State Representation Learning (SRL) for Robotics☆632Updated 4 years ago
- ☆391Updated 5 years ago
- A fast and differentiable QP solver for PyTorch.☆709Updated 8 months ago
- Example implementation for robust model predictive control using tube☆495Updated 4 years ago
- Trajectory Optimization☆413Updated 2 years ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,294Updated last year
- A repository for control benchmarking code☆196Updated 2 years ago
- Quadratic programming solvers in Python with a unified API☆660Updated 2 weeks ago
- High-performance interior-point-method QP and QCQP solvers☆605Updated last week
- HILO-MPC is a Python toolbox for easy, flexible and fast development of machine-learning-supported optimal control and estimation problem…☆174Updated last year