Alternatives and similar repositories for DyNODE

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

• YunzhuLi / CompositionalKoopmanOperators
  [ICLR 2020] Learning Compositional Koopman Operators for Model-Based Control
  ☆90Updated 4 years ago
• DiffEqML / torchcontrol
  A PyTorch library for all things nonlinear control and reinforcement learning.
  ☆47Updated 3 years ago
• locuslab / robust-nn-control
  Enforcing robust control guarantees within neural network policies
  ☆54Updated 4 years ago
• TUM-ITR / koopcore
  Koopman Kernels for Learning Dynamical Systems from Trajectory Data
  ☆30Updated last year
• Stanford-ILIAD / active-preference-based-gpr
  Companion code for RSS 2020 paper: "Active Preference-Based Gaussian Process Regression for Reward Learning"
  ☆39Updated last year
• Physics-aware-AI / DiffCoSim
  By introducing a differentiable contact model, DiffCoSim extends the applicability of Lagrangian/Hamiltonian-inspired neural networks to …
  ☆36Updated 2 years ago
• homangab / gradcem
  Code for the paper Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization
  ☆68Updated 5 years ago
• Bellman-devs / bellman
  Model-based reinforcement learning in TensorFlow
  ☆56Updated 4 years ago
• NoemieJaquier / GaBOtorch
  This repository contains the source code to perform Geometry-aware Bayesian Optimization (GaBO) on Riemannian manifolds.
  ☆52Updated 3 years ago
• donken / NeuralOC
  A Neural Network Approach for Real-Time High-Dimensional Optimal Control
  ☆27Updated 2 years ago
• aravindsrinivas / neural-mpc
  ☆74Updated 5 years ago
• ivandariojr / LyapunovLearning
  ☆43Updated 2 years ago
• zchuning / latco
  Model-Based Reinforcement Learning via Latent-Space Collocation.
  ☆33Updated 2 years ago
• LemonPi / pytorch_cem
  Cross Entropy Method implemented in pytorch
  ☆38Updated 3 years ago
• jaztsong / PILCO-gpytorch
  ☆35Updated 5 years ago
• LearningByDoingCompetition / learningbydoing-comp
  LearningByDoing NeurIPS 2021 Competition: Standalone Code and Results
  ☆19Updated 2 years ago
• asikist / nnc
  A framework for neural network control of dynamical systems over graphs.
  ☆57Updated 2 years ago
• harwiltz / stable-dynamics-models
  PyTorch implementation of "Learning Stable Deep Dynamics Models" (https://papers.nips.cc/paper/9292-learning-stable-deep-dynamics-models)…
  ☆17Updated 5 years ago
• locuslab / stable_dynamics
  Companion code to "Learning Stable Deep Dynamics Models" (Manek and Kolter, 2019)
  ☆33Updated 5 years ago
• cagatayyildiz / oderl
  Experiment code for "Continuous-Time Model-Based Reinforcement Learning"
  ☆54Updated last year
• 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…
  ☆144Updated 2 years ago
• sisl / variational_koopman
  Source code for "Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control" fro…
  ☆41Updated 6 years ago
• StanfordASL / CoCo
  ☆36Updated 2 years ago
• fusion-ml / trajectory-information-rl
  Bayesian active RL (BARL) and trajectory information planning (TIP)
  ☆24Updated 2 years ago
• dhananjaisharma10 / Model-based-Reinforcement-Learning
  Model-based reinforcement learning using CEM, MPC and PETS
  ☆16Updated 5 years ago
• wjmaddox / online_vargp
  Online variational GPs
  ☆37Updated 2 years ago
• wuwushrek / physics_constrained_nn
  Neural Networks with Physics-Informed Architectures and Constraints for Dynamical Systems Modeling
  ☆51Updated 3 years ago
• tung-nd / E2C-pytorch
  A pytorch implementation of the paper "Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images", NIPS, 2015
  ☆14Updated 5 years ago
• YaChienChang / Neural-Lyapunov-Control
  Learning Lyapunov functions and control policies of nonlinear dynamical systems
  ☆135Updated 4 years ago
• BerkeleyAutomation / rlqp
  Accelerating Quadratic Optimization with Reinforcement Learning
  ☆92Updated 3 years ago