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.

MATLAB® and Simulink® Model-Based Design – Electronic Concepts

Reinforcement Learning Toolbox - MATLAB

Why Choose Model-Based Reinforcement Learning? Video - MATLAB

Train Multiple Agents for Area Coverage - MATLAB & Simulink

Model-Based Reinforcement Learning Using Custom Training Loop

Train MBPO Agent to Balance Cart-Pole System - MATLAB & Simulink

Why Choose Model-Based Reinforcement Learning? Video - MATLAB

Reinforcement Learning Toolbox - MATLAB

Model-Based Reinforcement Learning with Reinforcement Learning

Training MBPO Agent to Balance Cart-Pole System with MATLAB

Model Based Policy Optimization. Reviewing recent advances in