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.

Simulink Design Optimization - MATLAB

Stochastic Gaussian transition function approximator object for

Model-based Reinforcement Learning with Ray RLlib

Model-Based Reinforcement Learning Using Custom Training Loop

Reinforcement Learning Toolbox - MATLAB

Reinforcement Learning Toolbox - MATLAB

Train DDPG Agent for Adaptive Cruise Control - MATLAB & Simulink

Model-based Process Optimisation

Why Choose Model-Based Reinforcement Learning? Video - MATLAB

Model-Based Design Helps Power Embedded Software Development for

Model based rl

Model-Based Reinforcement Learning with Reinforcement Learning

Reinforcement Learning Toolbox - MATLAB