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20162018
most citedA Hidden Markov Restless Multi-armed Bandit Model for Playout Recommendation Systems

2 citations · 3 across the 3 of their papers we have counts for

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cs.IR2018

Learning Recommendations While Influencing Interests

Rahul Meshram, D. Manjunath, Nikhil Karamchandani

Personalized recommendation systems (RS) are extensively used in many services. Many of these are based on learning algorithms where the RS uses the recommendation history and the…

eess.SY2018

Sequential Decision Making with Limited Observation Capability: Application to Wireless Networks

Kesav Kaza, Rahul Meshram, Varun Mehta +1

This work studies a generalized class of restless multi-armed bandits with hidden states and allow cumulative feedback, as opposed to the conventional instantaneous feedback. We ca…