Alternatives and similar repositories for Adaptive-dynamic-programming

Users that are interested in Adaptive-dynamic-programming are comparing it to the libraries listed below

• xwxing1229 / The_Adaptive_Dynamic_Programming_Toolbox
  ☆48Updated 3 years ago
• lujingweihh / Adaptive-dynamic-programming-algorithms
  Adaptive dynamic programming
  ☆121Updated 4 months ago
• mithun-bharadwaj / Adaptive_Optimal_Control
  Implementation of a paper on adaptive optimal control (solving ARE) based on policy iterations
  ☆30Updated 5 years ago
• Nehachy / Adaptive-Dynamic-Programming
  ☆10Updated 7 years ago
• yu-jiang / Paper_Automatica2012_CTLTI
  A MATLAB Class for convenient ADP simulation
  ☆24Updated 7 years ago
• Wanderingss / PG-GrHDP
  Model-free event-triggered optimal control with performance guarantees via goal representation heuristic dynamic programming
  ☆14Updated 3 years ago
• yushinliu / Adaptive-Dynamic-programming
  ☆32Updated 6 years ago
• bo-pang / time_varying_ADP
  Several ADP algorithms code for the data-driven optimal control of linear time-varying systems
  ☆19Updated 2 years ago
• WeinanGao / ADP-Output-Regulation
  ☆21Updated 3 years ago
• JakobaRmn / Constraint_RL_MPC
  Safe control of unknown dynamic systems with reinforcement learning and model predictive control
  ☆48Updated 5 years ago
• ericmauro / MS-Thesis-ADP-for-Human-Balance
  MATLAB simulation and final report/presentation for M.S. thesis. "Adaptive Dynamic Programming for Human Postural Balance Control"
  ☆16Updated 7 years ago
• bawalla2 / TNNLS-2022--CT-RL-Optimal-Control
  Contains all research-related code for publications by Brent Wallace, Arizona State University
  ☆15Updated 2 years ago
• mobility-23 / Fault-Tolerant-Control-System
  We propose a novel data-driven optimal adaptive fault-tolerant control method for path tracking control.
  ☆18Updated 10 months ago
• MShabani8 / RL_tracking_PI_algorithm_single_agent
  the code implements a training algorithm for a tracking control system using dynamic programming and reinforcement learning. It uses neur…
  ☆20Updated last year
• SamuelMallick / dmpcrl-concept
  Proof of concept example for the idea of using distributed model predictive control as a function approximator in distributed reinforceme…
  ☆13Updated 3 months ago
• ZhuLinche / DeepMPC
  Tube based Model Predictive Control that utilize Neural Networks to improve performance with adaptive control inputs.
  ☆18Updated 3 years ago
• ToadRedCarp / adaptive-critic-designs
  Matlab Source for fundamental adaptive critic designs
  ☆9Updated 12 years ago
• apizbakar / Soft-Actor-Critic-Reinforcement-Learning-Mobile-Robot-Navigation
  This example uses Soft Actor Critic(SAC) based reinforcement learning to develop the mobile robot navigation. For a brief summary of the …
  ☆15Updated 3 years ago
• DangFengying / RL-based-event-triggered-MPC
  ☆76Updated 2 years ago
• LLT1 / pages-for-RL-and-ADP
  强化学习和自适应动态规划资料
  ☆30Updated 5 years ago
• 202201216 / PID-Tuning-with-RL
  This project uses reinforcement learning (RL) to tune PID controllers for a nonlinear mass-spring-damper system. It applies the TD3 algor…
  ☆11Updated 6 months ago
• lujingweihh / Event-triggered-deep-Q-network
  Code for paper: Event-triggered deep reinforcement learning using parallel control: A case study in autonomous driving.
  ☆23Updated last year
• scc-lab / publications-code
  Code to reproduce results in peer-reviewed publications
  ☆21Updated 4 months ago
• EXPSIN / Quadratic-Programming-for-Continuous-Control-of-Safety-Critical-Multi-Agent-Systems-Under-Uncertaint
  Quadratic Programming for Continuous Control of Safety-Critical Multi-Agent Systems Under Uncertainty
  ☆13Updated 9 months ago
• MathewMithraNoel / Reinforcement-Learning-for-Nonlinear-Control
  Control of a nonlinear liquid level system using a new artificial neural network based reinforcement learning approach
  ☆48Updated 6 years ago
• happy2h / MFAILC
  model free adaptive iterative learning control
  ☆13Updated 3 years ago
• akmenon1996 / TemperatureControl-ReinforcementLearning
  Comparing the performance of a DDPG Reinforcement learning model to control temperature with that of a PID and a thermostat controller.
  ☆49Updated last year
• brunofloriano / NN_MPC
  Neural network-based (NN) Model Predictive Control (MPC) algorithm to control a multi-agent system (MAS) with stochastic communication to…
  ☆92Updated 2 years ago
• juliabrault-ML / RLandMPCWorkshop
  Introduction to Reinforcement Learning and Model Predictive Control with MATLAB and Simulink
  ☆24Updated last year
• Tbyo / Collected-ADP-algorithm
  ADP
  ☆9Updated 8 years ago