Alternatives and similar repositories for reinforcement_learning_control_nnets_model

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

• msareebhakak / Reinforcement-Learning-based-LQR
  Reinforcement based gain calculation for a tracking LQR using actor-critic method
  ☆23Updated 4 years ago
• MathewMithraNoel / Reinforcement-Learning-for-Nonlinear-Control
  Control of a nonlinear liquid level system using a new artificial neural network based reinforcement learning approach
  ☆53Updated 6 years 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…
  ☆22Updated 2 years ago
• JaeyoungLee-UoA / PIs-for-RL-Problems-in-CTS
  This repository contains the open source code used to generate the simulation results shown in the manuscript "Jaeyoung Lee and Richard S…
  ☆12Updated 4 years ago
• brianwade1 / actor_critic_quadcopter
  Advantage Actor-Critic (A2C) reinforcement learning agent used to control the motor speeds on a quadcopter in order to keep the quadcopte…
  ☆27Updated 3 years ago
• ikelq / Enhanced-PID-Adaptive-Feedforward-Neural-Network-Control
  code of paper: Adaptive Feedforward Neural Network Control With an Optimized Hidden Node Distribution
  ☆34Updated 4 years ago
• bo-pang / OLSbPI
  Code for the paper {Pang, Bo, and Zhong-Ping Jiang. "Reinforcement Learning for Adaptive Optimal Stationary Control of Linear Stochastic …
  ☆28Updated 4 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
• rozenk30 / Quantitative-Comparison-of-RL-and-MPC
  Codes for "Quantitative Comparison of Reinforcement Learning and Data-driven Model Predictive Control for Chemical and Biological Process…
  ☆12Updated 2 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 …
  ☆17Updated 4 years ago
• MahmutAgrali / DDPG-DQN-PD-Controller-for-VTOL
  ☆11Updated 4 years ago
• AIRicky / Awesome-Reinforcement-Learning
  We explore the application of deep reinforcement learning in the field of robotic control, the cooperative and competitive behavior of mu…
  ☆39Updated 5 years ago
• Nehachy / Adaptive-Dynamic-Programming
  ☆11Updated 8 years ago
• bo-pang / constrained_LQR
  A data-driven method for linear quadratic control with state and control constraints
  ☆13Updated 3 years ago
• duozhanggithub / Process-Control
  Process Control code, include optimization, Model Predictive Control (MPC), Moving Horizon, Kalman filter etc
  ☆24Updated 7 years ago
• lujingweihh / Event-triggered-deep-Q-network
  Code for paper: Event-triggered deep reinforcement learning using parallel control: A case study in autonomous driving.
  ☆32Updated 2 years ago
• razo-zapata / fuzzy-RL-wavelet-networks
  Matlab code to control underactuated systems based on a hybrid approach that combines neural networks, reinforcement learning, fuzzy logi…
  ☆30Updated 12 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.
  ☆57Updated 2 years ago
• LuoweiZhou / Negotiation-based-MARL
  Source code for journal paper "Multiagent Reinforcement Learning With Sparse Interactions by Negotiation and Knowledge Transfer"
  ☆13Updated 8 years ago
• JMoyalan / Koopman_based_data_driven_control
  This approach is used to solve data-driven optimal control problems by providing a Koopman operator based convex formulation
  ☆13Updated last year
• iman-sharifi-ghb / Function-Approximation-and-Adaptive-PID-Gain-Tuning-using-Neural-Networks-and-Reinforcement-Learning
  System Identification and Self-Tuning PID Control using NN
  ☆85Updated 2 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"
  ☆18Updated 7 years ago
• sunnyswag / simulink_python
  使用simulink进行环境的模拟，使用python编写强化学习(rl)代码
  ☆23Updated 6 years ago
• comkieffer / Thesis
  Data-driven attitude control design for multirotor UAVs
  ☆20Updated 8 years ago
• SNU-EPEL / Integration-of-Reinforcement-Learning-and-Model-Predictive-Control-to-Optimize-Semi-batch-Bioreactor
  ☆16Updated 3 years ago
• wenjianhao / Deep-Koopman-learning-of-nonlinear-time-varying-systems
  ☆16Updated last year
• SokratALDARMINI / Sensorless-control-of-PM-synchronous-motors
  ☆10Updated 3 years ago
• dingshansun / RL-based-PMPC
  Relevant codes of the paper ``Adaptive Parameterized Model Predictive Control Based on Reinforcement Learning: A Synthesis Framework"
  ☆15Updated last year
• rlsotlr01 / Bayesian_Optimization_for_MPC_tuning
  Apply the Bayesian Optimization for tuning the MPC Controller's hyperparameters
  ☆19Updated 4 years ago
• AmirhosseinAsadi1380 / RL-PID-controller
  Adaptive PID control of a flexible manipulator using DDPG algorithm.
  ☆27Updated 4 months ago