Alternatives and similar repositories for DeepKoopman

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

• i-abr / mpc-koopman
  Model-based Control using Koopman Operators
  ☆51Updated 5 years ago
• xl402 / deep-koopman
  IIB Master's Project: Deep Learning for Koopman Optimal Predictive Control
  ☆47Updated 4 years ago
• Pdbz199 / koopman-rl
  High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, T…
  ☆13Updated 6 months ago
• Cafolkes / koopman_learning_and_control
  Repository for Koopman based learning and nonlinear control
  ☆49Updated 2 years ago
• Vrushabh27 / Neural-Koopman-Lyapunov-Control
  Neural Koopman Lyapunov Control
  ☆25Updated 2 years ago
• JakobaRmn / Constraint_RL_MPC
  Safe control of unknown dynamic systems with reinforcement learning and model predictive control
  ☆51Updated 6 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…
  ☆70Updated last year
• i-abr / TorchMPC
  Pytorch implementation of Model Predictive Control with learned models
  ☆30Updated 4 years ago
• HaojieSHI98 / DeepKoopmanWithControl
  Soure code for Deep Koopman with Control
  ☆88Updated 3 years ago
• adi3e08 / Physics_Informed_Model_Based_RL
  We learn the dynamics model of a robot using a physics-informed neural network and use it to train a model-based RL algorithm.
  ☆42Updated last year
• HJReachability / safety_rl
  ☆28Updated 3 years ago
• williamedwards / autompc
  Automatic Tuning for Data-driven Model Predictive Control
  ☆67Updated 2 years ago
• liuzuxin / MPC_template-model_predictive_control_for_reinforcement_learning
  Pytorch version of the MPC in model-based reinforcement learning (MBRL), currently only test in the CartPole-swing-up environment
  ☆88Updated 5 years ago
• i-abr / active-learning-koopman
  ☆24Updated 4 years ago
• Pdbz199 / Koopman-RL-Old
  Data-driven Koopman control theory applied to reinforcement learning!
  ☆33Updated last year
• matthias-weissenbacher / KFC
  Koopman Q-learning: Offline Reinforcement Learning via Symmetries of Dynamics.
  ☆21Updated last year
• MilanKorda / KoopmanMPC
  ☆73Updated 7 years ago
• oscarkey / constrained-cem-mpc
  An MPC algorithm which supports polytopic state and action constraints, using CEM optimisation.
  ☆16Updated 5 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…
  ☆144Updated 2 years ago
• eivindeb / gym-letMPC
  ☆16Updated 3 years ago
• giorgosmamakoukas / MemoryEfficientStableLDS
  Codebase associated with paper "Memory-Efficient Learning of Stable Linear Dynamical Systems for Prediction and Control"
  ☆24Updated 4 years ago
• UtkarshMishra04 / DMD-MPC-RL
  This repository contains the code for our paper on Dynamic Mirror Descent based MPC for Model-Free RL
  ☆24Updated 3 years ago
• tayalmanan28 / Safe_Reinforcement_Learning
  Repository containing the code for safe reinforcement learning in two custom environments
  ☆45Updated 3 months ago
• dnandha / mopac
  Model Predictive Actor-Critic Reinforcement Learning
  ☆64Updated 3 years ago
• pnnl / deps_arXiv2020
  Differentiable predictive control (DPC) policy optimization examples.
  ☆55Updated last year
• StanfordASL / RSIRL
  Risk-sensitive Inverse Reinforcement Learning
  ☆10Updated 5 years ago
• YaChienChang / Neural-Lyapunov-Control
  Learning Lyapunov functions and control policies of nonlinear dynamical systems
  ☆134Updated 4 years ago
• srl-ethz / DeSKO-Deep-Stochastic-Koopman-Operator
  ☆14Updated 5 months ago
• FilippoAiraldi / learning-safety-in-mpc-based-rl
  Safety-aware MPC-based RL framework
  ☆64Updated 8 months ago
• Eric-Bradford / SDD-GP-MPC
  This repository contains the source code for "Stochastic data-driven model predictive control using Gaussian processes" (SDD-GP-MPC).
  ☆61Updated 2 years ago