Research Focus
Sequential decision making, reinforcement learning, simulation, and stochastic optimization.
View related work →PhD researcher in Operations Research, reinforcement learning, and simulation-based decision making.
I develop theory, computational tools, and simulation environments for sequential decisions under uncertainty, with applications in queueing, service systems, machine reliability, and operations planning.
Overview
Sequential decision making, reinforcement learning, simulation, and stochastic optimization.
View related work →Policy-gradient reinforcement learning for dynamic service control in an M/M/1 queue.
View related work →A scalable machine-interference repair-control testbed with speed-dependent failures.
View related work →