Monte Carlo tree search with temporal-difference learning for general video game playing. - Ercument Ilhan; A. Sima Etaner-Uyar (CIG, 2017)

Analysis of Statistical Forward Planning Methods in Pommerman. - Diego Perez Liebana; Raluca D. Gaina; Olve Drageset; Ercüment Ilhan; Martin Balla; Simon M. Lucas (AIIDE, 2019)

Teaching on a Budget in Multi-Agent Deep Reinforcement Learning. - Ercüment Ilhan; Jeremy Gow; Diego Pérez-Liébana (CoG, 2019)

Student-Initiated Action Advising via Advice Novelty. - Ercument Ilhan; Diego Perez Liebana (CoRR, 2020)

Action Advising with Advice Imitation in Deep Reinforcement Learning. - Ercument Ilhan; Jeremy Gow; Diego Perez Liebana (AAMAS, 2021)

Learning on a Budget via Teacher Imitation. - Ercüment Ilhan; Jeremy Gow; Diego Pérez-Liébana (CoG, 2021)

Methodical Advice Collection and Reuse in Deep Reinforcement Learning. - Sahir; Ercüment Ilhan; Srijita Das 001; Matthew E. Taylor (CoRR, 2022)

Student-Initiated Action Advising via Advice Novelty. - Ercument Ilhan; Jeremy Gow; Diego Perez Liebana (IEEE Trans. Games, 2022)

AdaptEx: A Self-Service Contextual Bandit Platform. - William Black; Ercument Ilhan; Andrea Marchini; Vilda Markeviciute (RecSys, 2023)

TRACE: Transformer-based User Representations from Attributed Clickstream Event Sequences. - William Black; Alexander Manlove; Jack Pennington; Andrea Marchini; Ercument Ilhan; Vilda Markeviciute (RecTour@RecSys, 2024)