Alternatives and similar repositories for mpc.pytorch

Users that are interested in mpc.pytorch are comparing it to the libraries listed below

• Shunichi09 / PythonLinearNonlinearControl
  PythonLinearNonLinearControl is a library implementing the linear and nonlinear control theories in python.
  ☆960Updated 4 years ago
• locuslab / differentiable-mpc
  ☆306Updated 2 years ago
• anassinator / ilqr
  Iterative Linear Quadratic Regulator with auto-differentiatiable dynamics models
  ☆421Updated 3 years ago
• eleurent / phd-bibliography
  References on Optimal Control, Reinforcement Learning and Motion Planning
  ☆972Updated 3 years ago
• utiasDSL / safe-control-gym
  PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL
  ☆809Updated last month
• do-mpc / do-mpc
  Model predictive control python toolbox
  ☆1,293Updated last month
• FilippoAiraldi / mpc-reinforcement-learning
  Reinforcement Learning with Model Predictive Control
  ☆602Updated this week
• UM-ARM-Lab / pytorch_mppi
  Model Predictive Path Integral (MPPI) with approximate dynamics implemented in pytorch
  ☆642Updated last year
• AtsushiSakai / PyAdvancedControl
  Python codes for advanced control
  ☆529Updated 6 years ago
• befelix / safe_learning
  Safe reinforcement learning with stability guarantees
  ☆234Updated 3 years ago
• Tim-Salzmann / l4casadi
  Use PyTorch Models with CasADi for data-driven optimization or learning-based optimal control. Supports Acados.
  ☆535Updated 6 months ago
• nrontsis / PILCO
  Bayesian Reinforcement Learning in Tensorflow
  ☆335Updated 4 years ago
• helgeanl / GP-MPC
  MPC with Gaussian Process
  ☆228Updated 6 years ago
• anagabandi / nn_dynamics
  ☆345Updated 7 years ago
• kchua / handful-of-trials
  Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"
  ☆466Updated 2 years ago
• wanxinjin / Pontryagin-Differentiable-Programming
  A unified end-to-end learning and control framework that is able to learn a (neural) control objective function, dynamics equation, contr…
  ☆180Updated 2 years ago
• forgi86 / pyMPC
  A Model Predictive Control (MPC) Python library based on the OSQP solver.
  ☆226Updated 4 years ago
• nicklashansen / tdmpc
  Code for "Temporal Difference Learning for Model Predictive Control"
  ☆485Updated 2 years ago
• studywolf / control
  A repository for control benchmarking code
  ☆202Updated 3 years ago
• urosolia / RacingLMPC
  Implementation of the Learning Model Predictive Controller for autonomous racing
  ☆315Updated 5 years ago
• yrlu / irl-imitation
  Implementation of Inverse Reinforcement Learning (IRL) algorithms in Python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL
  ☆655Updated last year
• WilsonWangTHU / mbbl
  ☆397Updated 6 years ago
• reinforcement-learning-kr / lets-do-irl
  Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)
  ☆764Updated last year
• locuslab / qpth
  A fast and differentiable QP solver for PyTorch.
  ☆772Updated last year
• hilo-mpc / hilo-mpc
  HILO-MPC is a Python toolbox for easy, flexible and fast development of machine-learning-supported optimal control and estimation problem…
  ☆188Updated last month
• rail-berkeley / softlearning
  Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…
  ☆1,381Updated 2 years ago
• acados / acados
  Fast and embedded solvers for nonlinear optimal control and nonlinear model predictive control
  ☆1,177Updated last week
• YaChienChang / Neural-Lyapunov-Control
  Learning Lyapunov functions and control policies of nonlinear dynamical systems
  ☆139Updated 4 years ago
• jannerm / mbpo
  Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"
  ☆521Updated 3 years ago
• araffin / robotics-rl-srl
  S-RL Toolbox: Reinforcement Learning (RL) and State Representation Learning (SRL) for Robotics
  ☆649Updated 4 years ago