Alternatives and similar repositories for IDES

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

• oxford-oxcav / fossil
  ☆28Updated last year
• VNOpenAI / OpenControl
  OpenControl is a python package that implements basic algorithms for the analysis and design of optimal feedback controllers.
  ☆15Updated 4 years ago
• Verified-Intelligence / Lyapunov_Stable_NN_Controllers
  Lyapunov-stable Neural Control for State and Output Feedback
  ☆81Updated last year
• GIOVRUSSO / Control-Group-Code
  Repository collecting the code for papers and projects at our control group at University of Salerno (lead contact: Giovanni Russo)
  ☆13Updated 10 months ago
• rbosh / ml-adp
  Approximate dynamic programming for stochastic optimal control in Pytorch
  ☆24Updated 2 years ago
• soc-ucsd / LQG_gradient
  Gradient descent algorithms for LQG control
  ☆14Updated 3 years ago
• sametuzun781 / D-GMSR
  A Smooth and Exact Parameterization of Discrete-time Signal Temporal Logic Specifications (D-GMSR)
  ☆15Updated 2 weeks ago
• act3-ace / SafeRL
  ☆32Updated last year
• Cafolkes / koopman_learning_and_control
  Repository for Koopman based learning and nonlinear control
  ☆52Updated 3 years ago
• StanfordASL / neural-network-lyapunov
  Synthesizing neural-network Lyapunov functions (and controllers) as stability certificate.
  ☆174Updated 8 months ago
• huipengly / MFAC
  Model Free Adaptive Control
  ☆57Updated 7 years ago
• HongchaoZhang-HZ / exactverif-reluncbf-nips23
  Exact Verification of ReLU Neural Control Barrier Functions
  ☆11Updated 2 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
• safe-rl / safe-rl-shielding
  ☆46Updated 3 years ago
• mahaitongdae / Approximate-Dynamic-Programming
  ADP demo code for Reinforcement Learning and Control, Tsinghua Univ. Lecture Notes.
  ☆44Updated 3 years ago
• tony23545 / DeepKoopman
  Use deep learning to learn Koopman operator and LQR for optimal control
  ☆17Updated 5 years ago
• SamuelMallick / dmpcrl-concept
  Proof of concept example for the idea of using distributed model predictive control as a function approximator in distributed reinforceme…
  ☆20Updated 10 months ago
• mabolivar / adp-powell-exercises
  Approximate Dynamic Programming exercises from Powell (2011)
  ☆15Updated 2 years ago
• chennnnnyize-zz / Optimal-Control-via-Neural-Networks
  Code repo for ICLR paper: Optimal Control Via Neural Networks: A Convex Approach
  ☆85Updated 6 years ago
• mithun-bharadwaj / Adaptive_Optimal_Control
  Implementation of a paper on adaptive optimal control (solving ARE) based on policy iterations
  ☆30Updated 6 years ago
• YaChienChang / Neural-Lyapunov-Control
  Learning Lyapunov functions and control policies of nonlinear dynamical systems
  ☆144Updated 4 years ago
• 4flixt / DeePC_Perspective
  Accompanying repository for our work "On the relationship between data-enabled predictive control and subspace predictive control".
  ☆27Updated 3 years ago
• RuikunZhou / Unknown_Neural_Lyapunov
  Neural Lyapunov control of unknown nonlinear systems with stability guarantees
  ☆15Updated 2 years ago
• yu-jiang / radpbook
  Source code for examples in Book "Robust Adaptive Dynamic Programming"
  ☆143Updated 3 years ago
• vincekurtz / stlpy
  A python library for control from Signal Temporal Logic (STL) specifications
  ☆55Updated 7 months ago
• jbreeden-um / phd-code
  ☆51Updated last year
• Tbyo / Collected-ADP-algorithm
  ADP
  ☆12Updated 8 years ago
• max-schenke / EdgeRL
  Edge Reinforcement Learning for Motor Control
  ☆15Updated last year
• giorgosmamakoukas / MemoryEfficientStableLDS
  Codebase associated with paper "Memory-Efficient Learning of Stable Linear Dynamical Systems for Prediction and Control"
  ☆25Updated 5 years ago
• grockious / lcrl
  Logically-Constrained Reinforcement Learning
  ☆56Updated last year