: Support for "Start-to-Finish" deep learning with apps like the Deep Network Designer for building and training complex architectures. Parallel Computing : Improved support for managing worker pools (
Native simulation support for deep Q-networks (DQN) and deep deterministic policy gradients (DDPG). matlab r2019
Introduced initially in R2018, Live Editor tasks exploded in utility during R2019. : Support for "Start-to-Finish" deep learning with apps
This release also saw the maturation of the . R2019 provided agents (like DQN, PPO, and DDPG) and environments that allowed engineers to train AI to make decisions based on dynamic system states—a massive leap for control systems engineering. matlab r2019