Alternatives and similar repositories for torchcontrol

Users that are interested in torchcontrol are comparing it to the libraries listed below

• donken / NeuralOC
  A Neural Network Approach for Real-Time High-Dimensional Optimal Control
  ☆27Updated 3 years ago
• Physics-aware-AI / DiffCoSim
  By introducing a differentiable contact model, DiffCoSim extends the applicability of Lagrangian/Hamiltonian-inspired neural networks to …
  ☆38Updated 3 years ago
• nikihowe / myriad
  Myriad is a real-world testbed that aims to bridge trajectory optimization and deep learning.
  ☆67Updated 2 years ago
• ivandariojr / LyapunovLearning
  ☆46Updated 2 years ago
• vmartinezalvarez / DyNODE
  DyNODE: Neural Ordinary Differential Equations for Dynamics Modeling in Continuous Control
  ☆23Updated 5 years ago
• TUM-ITR / koopcore
  Koopman Kernels for Learning Dynamical Systems from Trajectory Data
  ☆32Updated 2 years ago
• asikist / nnc
  A framework for neural network control of dynamical systems over graphs.
  ☆57Updated 3 years ago
• Physics-aware-AI / Symplectic-ODENet
  ☆47Updated 5 years ago
• cagatayyildiz / oderl
  Experiment code for "Continuous-Time Model-Based Reinforcement Learning"
  ☆54Updated 2 years ago
• cagatayyildiz / npde
  Nonparametric Differential Equation Modeling
  ☆56Updated last year
• Bellman-devs / bellman
  Model-based reinforcement learning in TensorFlow
  ☆56Updated 4 years ago
• wjmaddox / online_vargp
  Online variational GPs
  ☆37Updated 2 years ago
• d-biswa / Symplectic-ODENet
  ☆15Updated 5 years ago
• nzolman / sindy-rl
  Code for "SINDy-RL for Interpretable and Efficient Model-Based Reinforcement Learning" by Zolman et al.
  ☆159Updated 2 months ago
• mfinzi / constrained-hamiltonian-neural-networks
  ☆112Updated 4 years ago
• cvxgrp / cocp
  Source code for the examples accompanying the paper "Learning convex optimization control policies."
  ☆85Updated 3 years ago
• locuslab / robust-nn-control
  Enforcing robust control guarantees within neural network policies
  ☆56Updated 4 years ago
• Zymrael / PortHamiltonianNN
  Port-Hamiltonian Approach to Neural Network Training
  ☆27Updated 6 years ago
• homangab / gradcem
  Code for the paper Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization
  ☆68Updated 5 years ago
• DesmondZhong / Lagrangian_caVAE
  Official implementation for our paper "Unsupervised Learning of Lagrangian Dynamics from Images for Prediction and Control"
  ☆20Updated 3 years ago
• BerkeleyAutomation / rlqp
  Accelerating Quadratic Optimization with Reinforcement Learning
  ☆94Updated 4 years ago
• YunzhuLi / CompositionalKoopmanOperators
  [ICLR 2020] Learning Compositional Koopman Operators for Model-Based Control
  ☆93Updated 4 years ago
• SimonRennotte / Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control
  Unofficial Implementation of the paper "Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control", applied to gy…
  ☆147Updated 2 years ago
• pnnl / NeuralDAEs
  Learning Neural Differential Algebraic Equations via Operator Splitting
  ☆21Updated 6 months ago
• fusion-ml / OCBO
  Offline Contextual Bayesian Optimization
  ☆14Updated 2 years ago
• google / deluca
  Performant, differentiable reinforcement learning
  ☆125Updated 6 months ago
• sklus / d3s
  Data-driven dynamical systems toolbox.
  ☆80Updated last week
• JoeMWatson / input-inference-for-control
  Input Inference for Control (i2c), a control-as-inference framework for optimal control
  ☆25Updated 2 years ago
• aravindsrinivas / neural-mpc
  ☆73Updated 5 years ago
• google / trajax
  ☆233Updated 2 years ago