11 citations · 14 across the 4 of their papers we have counts for
7 papers
TRACE: Transformer-based user Representations from Attributed Clickstream Event sequences
William Black, Alexander Manlove, Jack Pennington +3
For users navigating travel e-commerce websites, the process of researching products and making a purchase often results in intricate browsing patterns that span numerous sessions…
AdaptEx: A Self-Service Contextual Bandit Platform
William Black, Ercument Ilhan, Andrea Marchini +1
This paper presents AdaptEx, a self-service contextual bandit platform widely used at Expedia Group, that leverages multi-armed bandit algorithms to personalize user experiences at…
Methodical Advice Collection and Reuse in Deep Reinforcement Learning
Sahir, Ercüment İlhan, Srijita Das +1
Reinforcement learning (RL) has shown great success in solving many challenging tasks via use of deep neural networks. Although using deep learning for RL brings immense representa…
Action Advising with Advice Imitation in Deep Reinforcement Learning
Ercument Ilhan, Jeremy Gow, Diego Perez-Liebana
Action advising is a peer-to-peer knowledge exchange technique built on the teacher-student paradigm to alleviate the sample inefficiency problem in deep reinforcement learning. Re…
Learning on a Budget via Teacher Imitation
Ercument Ilhan, Jeremy Gow, Diego Perez-Liebana
Deep Reinforcement Learning (RL) techniques can benefit greatly from leveraging prior experience, which can be either self-generated or acquired from other entities. Action advisin…
Student-Initiated Action Advising via Advice Novelty
Ercument Ilhan, Jeremy Gow, Diego Perez-Liebana
Action advising is a budget-constrained knowledge exchange mechanism between teacher-student peers that can help tackle exploration and sample inefficiency problems in deep reinfor…
Teaching on a Budget in Multi-Agent Deep Reinforcement Learning
Ercüment İlhan, Jeremy Gow, Diego Perez-Liebana
Deep Reinforcement Learning (RL) algorithms can solve complex sequential decision tasks successfully. However, they have a major drawback of having poor sample efficiency which can…