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 rl

Simulink Optimizations and Model Coverage - MATLAB & Simulink

Deep reinforcement learning for real-time scheduling in smart

Simulink Design Optimization - MATLAB

Reinforcement Learning Agents - MATLAB & Simulink - MathWorks

Reinforcement Learning Toolbox - MATLAB

Applications - MATLAB & Simulink

Train Multiple Agents for Area Coverage - MATLAB & Simulink

Create Policies and Value Functions - MATLAB & Simulink

Matlab/Simulink based model of Lyapunov function based control

Identification problem of acoustic media in the frequency domain

Model-Based Reinforcement Learning Using Custom Training Loop

Why Choose Model-Based Reinforcement Learning? Video - MATLAB

Model-Based Design Helps Power Embedded Software Development for

Reinforcement Learning Toolbox - MATLAB