A Distributed Q-Learning Approach for Variable Attention to Multiple Critics. - Maryam Tavakol; Majid Nili Ahmadabadi; Maryam S. Mirian; Masoud Asadpour (ICONIP (3), 2012)

Factored MDPs for detecting topics of user sessions. - Maryam Tavakol; Ulf Brefeld (RecSys, 2014)

Feature Extraction and Aggregation for Predicting the EURO 2016. - Maryam Tavakol; Hamid Zafartavanaelmi; Ulf Brefeld (MLSA@PKDD/ECML, 2016)

A Unified Contextual Bandit Framework for Long- and Short-Term Recommendations. - Maryam Tavakol; Ulf Brefeld (ECML/PKDD (2), 2017)

MDP-based Itinerary Recommendation using Geo-Tagged Social Media. - Radhika Gaonkar; Maryam Tavakol; Ulf Brefeld (IDA, 2018)

Personalized Transaction Kernels for Recommendation Using MCTS. - Maryam Tavakol; Tobias Joppen; Ulf Brefeld; Johannes Fürnkranz (KI, 2019)

HyperUCB: Hyperparameter Optimization Using Contextual Bandits. - Maryam Tavakol; Sebastian Mair 001; Katharina Morik (PKDD/ECML Workshops (1), 2019)

MDP-based Shallow Parsing in Distantly Supervised QA Systems. - Hamid Zafar; Maryam Tavakol; Jens Lehmann 001 (CoRR, 2019)

Contextual Models for Sequential Recommendation. - Maryam Tavakol (2019)

Distantly Supervised Question Parsing. - Hamid Zafar; Maryam Tavakol; Jens Lehmann 001 (ECAI, 2020)

Fair Classification with Counterfactual Learning. - Maryam Tavakol (SIGIR, 2020)

An Actor-Critic Ensemble Aggregation Model for Time-Series Forecasting. - Amal Saadallah; Maryam Tavakol; Katharina Morik (ICDE, 2021)

MuseBar: Alleviating Posterior Collapse in Recurrent VAEs Toward Music Generation. - Huiyao Wu; Maryam Tavakol (IDA, 2022)

Survey on Fair Reinforcement Learning: Theory and Practice. - Pratik Gajane; Akrati Saxena; Maryam Tavakol; George Fletcher 001; Mykola Pechenizkiy (CoRR, 2022)

Toward Robust Uncertainty Estimation with Random Activation Functions. - Yana Stoyanova; Soroush Ghandi; Maryam Tavakol (AAAI, 2023)

FastDTI: Drug-Target Interaction Prediction using Multimodality and Transformers. - Mathijs Boezer; Maryam Tavakol; Zahra Sajadi (NLDL, 2023)

Model-Based Meta-reinforcement Learning for Hyperparameter Optimization. - Jeroen Albrechts; Hugo M. Martin; Maryam Tavakol (IDEAL (1), 2024)

Cross-Domain Generalization with Reverse Dynamics Models in Offline Model-Based Reinforcement Learning. - Yana Stoyanova; Maryam Tavakol (ICAART (2), 2025)

Explore Activation Sparsity in Recurrent LLMs for Energy-Efficient Neuromorphic Computing. - Ivan Knunyants; Maryam Tavakol; Manolis Sifalakis; Yingfu Xu; Amirreza Yousefzadeh; Guangzhi Tang (CoRR, 2025)