
Learning and Information in Stochastic Networks and Queues
We review the role of information and learning in the stability and opti...
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Reinforcement Learning for Traffic Signal Control: Comparison with Commercial Systems
Recently, Intelligent Transportation Systems are leveraging the power of...
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Stability and Optimization of Speculative Queueing Networks
We provide a queueingtheoretic framework for job replication schemes ba...
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An Adiabatic Theorem for Policy Tracking with TDlearning
We evaluate the ability of temporal difference learning to track the rew...
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Perturbed Pricing
We propose a simple randomized rule for the optimization of prices in re...
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Fast Approximate Bayesian Contextual Cold Start Learning (FABCOST)
Coldstart is a notoriously difficult problem which can occur in recomme...
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A Short Note on Softmax and Policy Gradients in Bandits Problems
This is a short communication on a Lyapunov function argument for softma...
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Regret Analysis of a Markov Policy Gradient Algorithm for Multiarm Bandits
We consider a policy gradient algorithm applied to a finitearm bandit p...
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Stability and Instability of the MaxWeight Policy
Consider a switched queueing network with general routing among its queu...
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Designing CoalitionProof Reverse Auctions over Continuous Goods
This paper investigates reverse auctions that involve continuous values ...
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Designing CoalitionProof Mechanisms for Auctions over Continuous Goods
This paper investigates reverse auctions that involve continuous values ...
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Neil Walton
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