locuslab / mpc.pytorchLinks
A fast and differentiable model predictive control (MPC) solver for PyTorch.
☆1,020Updated last year
Alternatives and similar repositories for mpc.pytorch
Users that are interested in mpc.pytorch are comparing it to the libraries listed below
Sorting:
- ☆318Updated 2 years ago
- PythonLinearNonLinearControl is a library implementing the linear and nonlinear control theories in python.☆998Updated 4 years ago
- References on Optimal Control, Reinforcement Learning and Motion Planning☆976Updated 3 years ago
- Iterative Linear Quadratic Regulator with auto-differentiatiable dynamics models☆421Updated 3 years ago
- PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL☆833Updated 2 months ago
- Reinforcement Learning with Model Predictive Control☆631Updated last week
- Safe reinforcement learning with stability guarantees☆236Updated 3 years ago
- ☆345Updated 8 years ago
- Bayesian Reinforcement Learning in Tensorflow☆335Updated 4 years ago
- Model predictive control python toolbox☆1,328Updated 3 months ago
- Model Predictive Path Integral (MPPI) with approximate dynamics implemented in pytorch☆665Updated last year
- Use PyTorch Models with CasADi for data-driven optimization or learning-based optimal control. Supports Acados.☆550Updated 7 months ago
- MPC with Gaussian Process☆232Updated 6 years ago
- Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆471Updated 2 years ago
- Python codes for advanced control☆544Updated 6 years ago
- A unified end-to-end learning and control framework that is able to learn a (neural) control objective function, dynamics equation, contr…☆182Updated 2 years ago
- A repository for control benchmarking code☆202Updated 3 years ago
- Code for "Temporal Difference Learning for Model Predictive Control"☆501Updated 2 years ago
- A Model Predictive Control (MPC) Python library based on the OSQP solver.☆230Updated 4 years ago
- A fast and differentiable QP solver for PyTorch.☆776Updated last year
- Implementation of Inverse Reinforcement Learning (IRL) algorithms in Python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL☆662Updated last year
- Implementation of the Learning Model Predictive Controller for autonomous racing☆317Updated 5 years ago
- ☆397Updated 6 years ago
- Learning Lyapunov functions and control policies of nonlinear dynamical systems☆143Updated 4 years ago
- Example implementation for robust model predictive control using tube☆583Updated 5 years ago
- The course text for MIT 6.832 (and 6.832x on edX)☆905Updated last month
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆529Updated 3 years ago
- Safe Bayesian Optimization☆150Updated 3 years ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,400Updated 2 years ago
- PyRoboLearn: a Python framework for Robot Learning☆410Updated 2 years ago