machine learning

Solving multi-echelon inventory management problems with deep reinforcement learning (IWLS)

A technical talk on reinforcement learning for inventory control.

A prototype for the recommendation of treatment-resistant depression treatments (INFORMS)

A technical talk on a prototype for recommending treatments to patients suffering from treatment-resistant depression.

A prototype for the recommendation of treatment-resistant depression treatments (CORS)

A technical talk on a prototype for recommending treatments to patients suffering from treatment-resistant depression.

Solving multi-echelon inventory problems with deep reinforcement learning (CORS)

A technical talk on reinforcement learning for inventory control.

A branch-and-bound algorithm with machine learning for the open-shop scheduling problem (CORS)

A technical talk on a the use of machine learning to derive a new branching strategy for the open shop scheduling problem.

Atari-fying the vehicle routing problem with stochastic service requests (CORS)

A technical talk on the new paradigm of atari-fying operations research problems.

Dynamic ridehailing with electric vehicles

We consider the problem of an operator controlling a fleet of electric vehicles for use in a ridehailing service. The operator, seeking to maximize profit, must assign vehicles to requests as they arise as well as recharge and reposition vehicles in …

Atari-fying the vehicle routing problem with stochastic service requests

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 …