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 Policy Optimization (ICML Workshops)

Create Policies and Value Functions - MATLAB & Simulink

Model-Based Reinforcement Learning Using Custom Training Loop

Companion resources to Why Choose Model-Based Reinforcement

Reinforcement Learning Agents - MATLAB & Simulink - MathWorks

Reinforcement Learning Toolbox - MATLAB

Reinforcement Learning Agents - MATLAB & Simulink - MathWorks

Reinforcement Learning Toolbox - MATLAB

Train Multiple Agents to Perform Collaborative Task - MATLAB

Training and Simulation - MATLAB & Simulink - MathWorks 中国

Model-Based Reinforcement Learning Using Custom Training Loop