We consider the problem of an operator controlling a fleet of electric vehicles for use in a ride-hailing service. The operator, seeking to maximize profit, must assign vehicles to requests as they arise as well as recharge and reposition vehicles in …
A technical talk on reinforcement learning for inventory control.
A technical talk on reinforcement learning for inventory control.
An overview talk of past and current research.
Multi-echelon inventory models aim to minimize the system-wide total cost in a multi-stage supply chain by applying a proper ordering policy to each of the stages. In a practical inventory system when backlog costs can be incurred in multiple stages, …
A technical talk on reinforcement learning for inventory control.
A technical talk on reinforcement learning for inventory control.
A technical talk on the new paradigm of atari-fying operations research problems.
We present a new general approach to modeling research problems as Atari-like videogames to make them amenable to recent groundbreaking solution methods from the deep reinforcement learning community. The approach is flexible, applicable to a wide …