Alternatives and similar repositories for AA203-Homework

Users that are interested in AA203-Homework are comparing it to the libraries listed below

• StanfordASL / AA203-Examples
  Examples shown in class and recitation from AA203: Optimal and Learning-Based Control.
  ☆53Updated 7 months ago
• williamedwards / autompc
  Automatic Tuning for Data-driven Model Predictive Control
  ☆72Updated 2 years ago
• 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
• vvrs / MPPIController
  Robot Controls Course Project
  ☆62Updated 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
• HJReachability / helperOC
  ☆90Updated 2 years ago
• StanfordASL / hj_reachability
  Hamilton-Jacobi reachability analysis in JAX.
  ☆159Updated last year
• i-abr / TorchMPC
  Pytorch implementation of Model Predictive Control with learned models
  ☆30Updated 5 years ago
• HJReachability / safety_rl
  ☆30Updated 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
  ☆127Updated 3 months ago
• wecacuee / Bayesian_CBF
  Code for the paper "Control Barriers in Bayesian Learning of System Dynamics"
  ☆29Updated 3 years ago
• StanfordASL / Adaptive-Control-Oriented-Meta-Learning
  Adaptive control-oriented meta-learning for nonlinear systems
  ☆70Updated 4 years ago
• Berk-Tosun / cbf-cartpole
  Various Control Barrier Functions realized on cartpole.
  ☆25Updated last year
• anassinator / pddp
  WIP implementation of Probabilistic Differential Dynamic Programming in PyTorch
  ☆15Updated last year
• i-abr / mpc-koopman
  Model-based Control using Koopman Operators
  ☆57Updated 5 years ago
• ossamaAhmed / blackbox_mpc
  Sampling based Model Predictive Control package for Model-Based RL research
  ☆56Updated 5 years ago
• ZhaomingXie / CDDP
  constraint differential dynamical programming
  ☆28Updated 3 years ago
• xapavlov / ipddp
  ☆31Updated 2 years ago
• StanfordMSL / SACBP.jl
  Stochastic Sequential Action Control for Continuous-Time Belief Space Planning in Julia
  ☆15Updated 3 years ago
• UCSD-SASLab / refineCBF
  ☆24Updated last year
• acxz / mppi
  A simple and extensible Octave/Matlab library for Model Predictive Path Integral control scheme.
  ☆18Updated 6 years ago
• Weixy21 / BarrierNet
  Safe robot learning
  ☆101Updated last year
• Eric-Bradford / Nominal_NMPC
  A basic nonlinear model predictive control implementation using Casadi with Unscented Kalman filter state estimation
  ☆51Updated 4 years ago
• i-abr / active-learning-koopman
  ☆27Updated 4 years ago
• eivindeb / gym-letMPC
  ☆16Updated 3 years ago
• SafeRoboticsLab / Dual_Control_HRI
  Implementation of implicit dual control-based active uncertainty learning for human-robot interaction - WAFR 2022 & IJRR 2023
  ☆37Updated last year
• manish-pra / sampling-gpmpc
  Sampling based GP MPC
  ☆37Updated 3 months ago
• skousik / RTD_tutorial
  Get started with Reachability-based Trajectory Design for static obstacles
  ☆61Updated 3 years ago
• sundw2014 / C3M
  Learning Certified Control Using Contraction Metric (CoRL 2020)
  ☆32Updated 3 years ago