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

GitHub - jonasrothfuss/model_ensemble_meta_learning

Simulink Design Optimization - MATLAB

Companion resources to Why Choose Model-Based Reinforcement

Reinforcement Learning Toolbox - MATLAB

Train Multiple Agents to Perform Collaborative Task - MATLAB

Applications - MATLAB & Simulink

Model-Based Reinforcement Learning with Reinforcement Learning

Model Based Policy Optimization. Reviewing recent advances in

Reinforcement Learning Toolbox - MATLAB