Alternatives and similar repositories for stable-dynamics-models:

Users that are interested in stable-dynamics-models are comparing it to the libraries listed below

• locuslab / stable_dynamics
  Companion code to "Learning Stable Deep Dynamics Models" (Manek and Kolter, 2019)
  ☆32Updated 5 years ago
• ZikangXiong / MFNLC
  [IROS 22'] Model-free Neural Lyapunov Control
  ☆21Updated last year
• vmartinezalvarez / DyNODE
  DyNODE: Neural Ordinary Differential Equations for Dynamics Modeling in Continuous Control
  ☆22Updated 4 years ago
• Stanford-ILIAD / active-preference-based-gpr
  Companion code for RSS 2020 paper: "Active Preference-Based Gaussian Process Regression for Reward Learning"
  ☆40Updated 10 months ago
• locuslab / robust-nn-control
  Enforcing robust control guarantees within neural network policies
  ☆54Updated 3 years ago
• Yusufma03 / DPFRL
  Discriminative Particle Filter Reinforcement Learning for Complex Partial Observations (ICLR 2020)
  ☆25Updated 3 years ago
• sundw2014 / C3M
  Learning Certified Control Using Contraction Metric (CoRL 2020)
  ☆31Updated 2 years ago
• StanfordASL / CoCo
  ☆36Updated 2 years ago
• spenrich / Learning-Control-Oriented-Structure
  Code for "Learning Control-Oriented Dynamical Structure from Data" by Spencer M. Richards, Jean-Jacques Slotine, Navid Azizan, and Marco …
  ☆13Updated last year
• zuzuba / CISR_NeurIPS20
  ☆18Updated 4 years ago
• StanfordASL / Learning-Control-Oriented-Structure
  Code for "Learning Control-Oriented Dynamical Structure from Data" by Spencer M. Richards, Jean-Jacques Slotine, Navid Azizan, and Marco …
  ☆20Updated last year
• i-abr / TorchMPC
  Pytorch implementation of Model Predictive Control with learned models
  ☆30Updated 4 years ago
• i-abr / mpc-koopman
  Model-based Control using Koopman Operators
  ☆51Updated 4 years ago
• HJReachability / safety_rl
  ☆26Updated 3 years ago
• befelix / Safe-RL-Benchmark
  A library to benchmark reinforcement learning algorithms
  ☆21Updated 6 years ago
• anassinator / pddp
  WIP implementation of Probabilistic Differential Dynamic Programming in PyTorch
  ☆15Updated 6 months ago
• dhananjaisharma10 / Model-based-Reinforcement-Learning
  Model-based reinforcement learning using CEM, MPC and PETS
  ☆16Updated 5 years ago
• modestyachts / robust-adaptive-lqr
  Implementation of robust adaptive control methods for the linear quadratic regulator
  ☆38Updated 3 years ago
• sisl / MPHRL
  Model Primitive Hierarchical Reinforcement Learning
  ☆13Updated 2 years ago
• wecacuee / Bayesian_CBF
  Code for the paper "Control Barriers in Bayesian Learning of System Dynamics"
  ☆26Updated 2 years ago
• jaztsong / PILCO-gpytorch
  ☆34Updated 4 years ago
• mahaitongdae / Safety_Index_Synthesis
  Code for L4DC 2022 paper: Joint Synthesis of Safety Certificate and Safe Control Policy Using Constrained Reinforcement Learning.
  ☆14Updated last year
• befelix / lyapunov-learning
  Safe learning of regions of attraction in uncertain, nonlinear systems with Gaussian processes
  ☆38Updated 5 years ago
• boschresearch / ube-mbrl
  Model-Based Uncertainty in Value Functions (AISTATS2023)
  ☆18Updated last year
• RobustStabilityGuaranteeRL / RobustStabilityGuaranteeRL
  RobustStabilityGuaranteeRL
  ☆10Updated 5 years ago
• ajthor / socks
  Stochastic Optimal Control and Reachability Toolbox Written in Python
  ☆13Updated last year
• williamedwards / autompc
  Automatic Tuning for Data-driven Model Predictive Control
  ☆61Updated last year
• young-j-park / 18-NeurIPS-APIAE
  ☆21Updated 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…
  ☆61Updated last year
• befelix / SafeMDP
  Safe exploration in Markov Decision Processes
  ☆37Updated 7 years ago