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.

Companion resources to Why Choose Model-Based Reinforcement

Applications - MATLAB & Simulink

Reinforcement Learning Toolbox - MATLAB

Reinforcement Learning Toolbox - MATLAB

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Model-Based Reinforcement Learning Using Custom Training Loop

Model-Based Design Toolbox

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

Model-Based Reinforcement Learning Using Custom Training Loop

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

Simulink Design Optimization - MATLAB

Model based rl