55 citations · 184 across the 18 of their papers we have counts for
20 papers
Deep Reinforcement Learning for Inventory Networks: Toward Reliable Policy Optimization
Matias Alvo, Daniel Russo, Yash Kanoria +1
We argue that inventory management presents unique opportunities for the reliable application of deep reinforcement learning (DRL). To enable this, we emphasize and test two comple…
Decentralized Online Convex Optimization in Networked Systems
Yiheng Lin, Judy Gan, Guannan Qu +2
We study the problem of networked online convex optimization, where each agent individually decides on an action at every time step and agents cooperatively seek to minimize the to…
The Competition for Partners in Matching Markets
Yash Kanoria, Seungki Min, Pengyu Qian
We study the competition for partners in two-sided matching markets with heterogeneous agent preferences, with a focus on how the equilibrium outcomes depend on the connectivity in…
Dynamic Reserve Prices for Repeated Auctions: Learning from Bids
Yash Kanoria, Hamid Nazerzadeh
A large fraction of online advertisement is sold via repeated second price auctions. In these auctions, the reserve price is the main tool for the auctioneer to boost revenues. In…
Joint Seat Allocation 2018: An algorithmic perspective
Surender Baswana, Partha Pratim Chakrabarti, Yashodhan Kanoria +2
Until 2014, admissions to the Indian Institutes of Technology (IITs) were conducted under one umbrella, whereas the admissions to the non-IIT Centrally Funded Government Institutes…
Large Deviations Optimal Scheduling of Closed Queueing Networks
Siddhartha Banerjee, Yash Kanoria, Pengyu Qian
We study the design of dynamic scheduling controls in closed queueing networks with a fixed number of jobs. Each time a server becomes available, the controller has (limited) flexi…