Alternatives and similar repositories for differentiable-mpc

Users that are interested in differentiable-mpc are comparing it to the libraries listed below

• 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
• ferreirafabio / mppi_pendulum
  The reimplementation of Model Predictive Path Integral (MPPI) from the paper "Information Theoretic MPC for Model-Based Reinforcement Lea…
  ☆104Updated 6 months ago
• anassinator / ilqr
  Iterative Linear Quadratic Regulator with auto-differentiatiable dynamics models
  ☆421Updated 3 years ago
• YaChienChang / Neural-Lyapunov-Control
  Learning Lyapunov functions and control policies of nonlinear dynamical systems
  ☆140Updated 4 years ago
• SFU-MARS / optimized_dp
  Optimizing Dynamic Programming-Based Algorithms
  ☆128Updated 4 months ago
• neka-nat / ddp-gym
  Differential Dynamic Programming controller operating in OpenAI Gym environment.
  ☆87Updated 5 years ago
• befelix / safe-exploration
  Safe Exploration with MPC and Gaussian process models
  ☆89Updated 5 years ago
• befelix / safe_learning
  Safe reinforcement learning with stability guarantees
  ☆236Updated 3 years ago
• MIT-REALM / neural_clbf
  Toolkit for learning controllers based on robust control Lyapunov barrier functions
  ☆179Updated last year
• locuslab / mpc.pytorch
  A fast and differentiable model predictive control (MPC) solver for PyTorch.
  ☆1,012Updated last year
• helgeanl / GP-MPC
  MPC with Gaussian Process
  ☆230Updated 6 years ago
• StanfordASL / hj_reachability
  Hamilton-Jacobi reachability analysis in JAX.
  ☆162Updated last year
• wanxinjin / Safe-PDP
  Safe Pontryagin Differentiable Programming (Safe PDP) is a new theoretical and algorithmic safe differentiable framework to solve a broad…
  ☆71Updated 3 years ago
• forgi86 / pyMPC
  A Model Predictive Control (MPC) Python library based on the OSQP solver.
  ☆230Updated 4 years ago
• StanfordASL / neural-network-lyapunov
  Synthesizing neural-network Lyapunov functions (and controllers) as stability certificate.
  ☆173Updated 7 months ago
• HJReachability / helperOC
  ☆91Updated 2 years ago
• UM-ARM-Lab / pytorch_mppi
  Model Predictive Path Integral (MPPI) with approximate dynamics implemented in pytorch
  ☆653Updated last year
• StanfordASL / stlcg
  ☆76Updated last year
• Weixy21 / BarrierNet
  Safe robot learning
  ☆102Updated last year
• TUM-AAS / ml-casadi
  Use PyTorch Models with CasADi and Acados
  ☆241Updated 2 years ago
• smlbansal / deepreach
  ☆86Updated 8 months ago
• ossamaAhmed / blackbox_mpc
  Sampling based Model Predictive Control package for Model-Based RL research
  ☆56Updated 5 years ago
• StanfordASL / AA203-Notes
  Course notes for AA203
  ☆155Updated 5 years ago
• GuanyaShi / neural_lander_sim_1d
  A simple 1d simulator for the "Neural-Lander" paper, ICRA 2019
  ☆19Updated 2 years ago
• navigator8972 / pylqr
  An implementation of iLQR for trajectory synthesis and control
  ☆93Updated 5 years ago
• unstable-zeros / learning-cbfs
  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
• studywolf / control
  A repository for control benchmarking code
  ☆202Updated 3 years ago
• hanyas / trajopt
  A toolbox for trajectory optimization of dynamical systems
  ☆54Updated 3 years ago
• sundw2014 / C3M
  Learning Certified Control Using Contraction Metric (CoRL 2020)
  ☆32Updated 3 years ago
• aravindsrinivas / neural-mpc
  ☆73Updated 5 years ago