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 Design Helps Power Embedded Software Development for

Model-Based Policy Optimization (ICML Workshops)

Matlab/Simulink based model of Lyapunov function based control

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

Reinforcement Learning Toolbox - MATLAB

Model-Based Policy Optimization (ICML Workshops)

Stochastic Gaussian transition function approximator object for

Reinforcement Learning Agents - MATLAB & Simulink - MathWorks

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

Reinforcement learning agent - Simulink

Train Multiple Agents for Area Coverage - MATLAB & Simulink

Model Based Policy Optimization. Reviewing recent advances in