Alternatives and similar repositories for stable-dynamics-models

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

• Stanford-ILIAD / active-preference-based-gpr
  Companion code for RSS 2020 paper: "Active Preference-Based Gaussian Process Regression for Reward Learning"
  ☆39Updated last year
• locuslab / robust-nn-control
  Enforcing robust control guarantees within neural network policies
  ☆56Updated 4 years ago
• i-abr / TorchMPC
  Pytorch implementation of Model Predictive Control with learned models
  ☆30Updated 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
• Yusufma03 / DPFRL
  Discriminative Particle Filter Reinforcement Learning for Complex Partial Observations (ICLR 2020)
  ☆27Updated 4 years ago
• sundw2014 / C3M
  Learning Certified Control Using Contraction Metric (CoRL 2020)
  ☆34Updated 3 years ago
• befelix / Safe-RL-Benchmark
  A library to benchmark reinforcement learning algorithms
  ☆21Updated 7 years ago
• williamedwards / autompc
  Automatic Tuning for Data-driven Model Predictive Control
  ☆72Updated 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 7 months ago
• rkcosner / cyberpod_sim_ros
  Segway Simulation Environment
  ☆11Updated 5 years ago
• lubaroli / dust
  This is the code repository for the DuSt-MPC paper, published at Robotics: Science and Systems (RSS) 2021.
  ☆30Updated 4 years ago
• befelix / safe-exploration
  Safe Exploration with MPC and Gaussian process models
  ☆89Updated 5 years ago
• unstable-zeros / learning-hcbfs
  Code needed to replicate the examples from "Learning Hybrid Control Barrier Functions from Data" by L. Lindemann et al., to appear at CoR…
  ☆24Updated 2 years ago
• LemonPi / pytorch_cem
  Cross Entropy Method implemented in pytorch
  ☆37Updated 3 years ago
• befelix / lyapunov-learning
  Safe learning of regions of attraction in uncertain, nonlinear systems with Gaussian processes
  ☆39Updated 6 years ago
• YaChienChang / Neural-Lyapunov-Control
  Learning Lyapunov functions and control policies of nonlinear dynamical systems
  ☆144Updated 4 years ago
• ZikangXiong / MFNLC
  [IROS 22'] Model-free Neural Lyapunov Control
  ☆28Updated 2 years ago
• ossamaAhmed / blackbox_mpc
  Sampling based Model Predictive Control package for Model-Based RL research
  ☆57Updated 5 years ago
• homangab / gradcem
  Code for the paper Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization
  ☆68Updated 5 years ago
• bthananjeyan / saved-rl
  Implementation of safety augmented value estimation from demonstrations (SAVED)
  ☆24Updated 6 years ago
• neu-autonomy / nfl_veripy
  Formal Verification of Neural Feedback Loops (NFLs)
  ☆82Updated last year
• StanfordASL / RSIRL
  Risk-sensitive Inverse Reinforcement Learning
  ☆11Updated 6 years ago
• vmartinezalvarez / DyNODE
  DyNODE: Neural Ordinary Differential Equations for Dynamics Modeling in Continuous Control
  ☆23Updated 5 years ago
• StanfordASL / CoCo
  ☆38Updated 3 years ago
• fusion-ml / trajectory-information-rl
  Bayesian active RL (BARL) and trajectory information planning (TIP)
  ☆26Updated 3 years ago
• aravindsrinivas / neural-mpc
  ☆73Updated 5 years ago
• dnandha / mopac
  Model Predictive Actor-Critic Reinforcement Learning
  ☆70Updated 4 years ago
• wecacuee / Bayesian_CBF
  Code for the paper "Control Barriers in Bayesian Learning of System Dynamics"
  ☆29Updated 3 years ago
• stonkens / cbf_opt
  Toolbox for solving CBFs in Python
  ☆13Updated last year
• locuslab / stable_dynamics
  Companion code to "Learning Stable Deep Dynamics Models" (Manek and Kolter, 2019)
  ☆34Updated 6 years ago