Adaptive Time Warp protocols in the literature are usually based on a pre-defined analytic model of the system, expressed as a closed form function that maps system state to cont...
Reinforcement learning deals with learning optimal or near optimal policies while interacting with the environment. Application domains with many continuous variables are difficul...
This paper presents a direct reinforcement learning algorithm, called Finite-Element Reinforcement Learning, in the continuous case, i.e. continuous state-space and time. The eval...
This research presents optimized maintenance design using simulation to analyze the capability of auto part manufacturing production system. The integration of simulation and opti...
Ahad Ali, Xiaohui Chen, Ziming Yang, Jay Lee, Jun ...