This course covers reinforcement learning aka dynamic programming, which is a modeling principle capturing dynamic environments and stochastic nature of events. The main goal is to learn dynamic ...

(3) Control: End-to-end control based on reinforcement learning. Intelligent Production Scheduling. (1) Distributed Factory Modular Construction Production: Intelligent work package planning and ...

Dynamic Programming and Optimal Control is offered within DMAVT and attracts in excess of 300 students per year from a wide variety of disciplines. ... The course focuses on fundamental concepts that ...

Rather than generating potential outcomes based on historical data, deep reinforcement learning teaches AI agents and machines with the time-tested "carrot and stick" method.