Drift-Aware Multi-Memory Model for Imbalanced Data Streams. - Amir Abolfazli; Eirini Ntoutsi (IEEE BigData, 2020)

Data Valuation for Offline Reinforcement Learning. - Amir Abolfazli; Gregory Palmer; Daniel Kudenko (CoRR, 2022)

A Deep Reinforcement Learning Approach to Configuration Sampling Problem. - Amir Abolfazli; Jakob Spiegelberg; Gregory Palmer; Avishek Anand (ICDM, 2023)

Enhancing Offline Reinforcement Learning with Curriculum Learning-Based Trajectory Valuation. - Amir Abolfazli; Zekun Song; Avishek Anand; Wolfgang Nejdl (AAMAS, 2025)