Alternatives and similar repositories for Pontryagin-Differentiable-Programming

Users that are interested in Pontryagin-Differentiable-Programming are comparing it to the libraries listed below

• wanxinjin / Safe-PDP
  Safe Pontryagin Differentiable Programming (Safe PDP) is a new theoretical and algorithmic safe differentiable framework to solve a broad…
  ☆71Updated 3 years ago
• YaChienChang / Neural-Lyapunov-Control
  Learning Lyapunov functions and control policies of nonlinear dynamical systems
  ☆139Updated 4 years ago
• StanfordASL / neural-network-lyapunov
  Synthesizing neural-network Lyapunov functions (and controllers) as stability certificate.
  ☆171Updated 6 months ago
• SFU-MARS / optimized_dp
  Optimizing Dynamic Programming-Based Algorithms
  ☆126Updated 3 months ago
• MIT-REALM / neural_clbf
  Toolkit for learning controllers based on robust control Lyapunov barrier functions
  ☆176Updated last year
• HJReachability / helperOC
  ☆89Updated 2 years ago
• StanfordASL / hj_reachability
  Hamilton-Jacobi reachability analysis in JAX.
  ☆157Updated last year
• locuslab / differentiable-mpc
  ☆306Updated 2 years ago
• Weixy21 / BarrierNet
  Safe robot learning
  ☆101Updated last year
• sundw2014 / C3M
  Learning Certified Control Using Contraction Metric (CoRL 2020)
  ☆32Updated 3 years ago
• i-abr / mpc-koopman
  Model-based Control using Koopman Operators
  ☆57Updated 5 years ago
• i-abr / active-learning-koopman
  ☆27Updated 4 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
• HaojieSHI98 / DeepKoopmanWithControl
  Soure code for Deep Koopman with Control
  ☆98Updated 3 years ago
• AstroHiro / ncm
  Codes for designing Neural Contraction Metrics (NCMs)
  ☆34Updated 5 years ago
• helgeanl / GP-MPC
  MPC with Gaussian Process
  ☆228Updated 6 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 5 months 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…
  ☆145Updated 2 years ago
• Verified-Intelligence / Lyapunov_Stable_NN_Controllers
  Lyapunov-stable Neural Control for State and Output Feedback
  ☆79Updated last year
• TUM-AAS / ml-casadi
  Use PyTorch Models with CasADi and Acados
  ☆237Updated 2 years ago
• GuanyaShi / Online-Meta-Adaptive-Control
  ☆58Updated 4 years ago
• ossamaAhmed / blackbox_mpc
  Sampling based Model Predictive Control package for Model-Based RL research
  ☆56Updated 5 years ago
• befelix / safe-exploration
  Safe Exploration with MPC and Gaussian process models
  ☆89Updated 5 years ago
• StanfordASL / Adaptive-Control-Oriented-Meta-Learning
  Adaptive control-oriented meta-learning for nonlinear systems
  ☆70Updated 4 years ago
• StanfordASL / stlcg
  ☆76Updated last year
• forgi86 / pyMPC
  A Model Predictive Control (MPC) Python library based on the OSQP solver.
  ☆226Updated 4 years ago
• Cafolkes / koopman_learning_and_control
  Repository for Koopman based learning and nonlinear control
  ☆51Updated 3 years ago
• vincekurtz / stlpy
  A python library for control from Signal Temporal Logic (STL) specifications
  ☆52Updated 6 months ago
• vvrs / MPPIController
  Robot Controls Course Project
  ☆62Updated 4 years ago
• smlbansal / deepreach
  ☆81Updated 7 months ago