Model-Based Policy Optimization (MBPO) Agents - MATLAB & Simulink

A model-based (MBPO) reinforcement learning agent learns a model of its environment that it can use to generate additional experiences for training.

Model-Based Policy Optimization (MBPO) Agents - MATLAB & Simulink

Simulink Design Optimization - MATLAB

Reinforcement Learning Toolbox - MATLAB

Matlab/Simulink based model of Lyapunov function based control

Model-Based Design Toolbox

GitHub - jannerm/mbpo: Code for the paper When to Trust Your

Identification problem of acoustic media in the frequency domain

Applied Sciences, Free Full-Text

Training and Simulation - MATLAB & Simulink - MathWorks 中国

Reinforcement Learning Environments - MATLAB & Simulink

Model-Based Reinforcement Learning with Reinforcement Learning

Reinforcement Learning Toolbox - MATLAB

Model-Based Policy Optimization (ICML Workshops)

Model based design in Simulink — MATLAB Number ONE