13 citations · 19 across the 14 of their papers we have counts for
Showing 2016Show all
3 papers · 1 filter
cs.GT2016
On Threshold Routing in a Service System with Highest-Bidder-First and FIFO Services
Tejas Bodas, D. Manjunath
In this paper, we consider a two server system serving heterogeneous customers. One of the server has a FIFO scheduling policy and charges a fixed admission price to each customer.…
cs.LG2016★ 3 cited
Reinforcement Learning algorithms for regret minimization in structured Markov Decision Processes
K J Prabuchandran, Tejas Bodas, Theja Tulabandhula
A recent goal in the Reinforcement Learning (RL) framework is to choose a sequence of actions or a policy to maximize the reward collected or minimize the regret incurred in a fini…
cs.GT2016
Revenue Maximization in Service Systems with Heterogeneous Customers
Tejas Bodas, D. Manjunath
In this paper, we consider revenue maximization problem for a two server system in the presence of heterogeneous customers. We assume that the customers differ in their cost for un…