Crowdsourced Coordination Through Online Games. - Arash Tavakoli; Haig Nalbandian; Nora Ayanian (HRI, 2016)

Multiplayer Games for Learning Multirobot Coordination Algorithms. - Arash Tavakoli; Haig Nalbandian; Nora Ayanian (CoRR, 2016)

Action Branching Architectures for Deep Reinforcement Learning. - Arash Tavakoli; Fabio Pardo; Petar Kormushev (AAAI, 2018)

Time Limits in Reinforcement Learning. - Fabio Pardo; Arash Tavakoli; Vitaly Levdik; Petar Kormushev (ICML, 2018)

The internet of wasted things (IoWT). - Arash Tavakoli; Amir Ashrafi; Arsalan Heydarian; Madhur Behl (IOT, 2018)

Prioritizing Starting States for Reinforcement Learning. - Arash Tavakoli; Vitaly Levdik; Riashat Islam; Petar Kormushev (CoRR, 2018)

Using a Logarithmic Mapping to Enable Lower Discount Factors in Reinforcement Learning. - Harm van Seijen; Mehdi Fatemi; Arash Tavakoli (NeurIPS, 2019)

A neural network oracle for quantum nonlocality problems in networks. - Tamás Kriváchy; Yu Cai; Daniel Cavalcanti; Arash Tavakoli; Nicolas Gisin; Nicolas Brunner (CoRR, 2019)

Personalized Driver State Profiles: A Naturalistic Data-Driven Study. - Arash Tavakoli; Mehdi Boukhechba; Arsalan Heydarian (AHFE (12), 2020)

Smart Stormwater Control Systems: A Reinforcement Learning Approach. - Cheng Wang 040; Benjamin D. Bowes; Arash Tavakoli; Stephen C. Adams; Jonathan L. Goodall; Peter A. Beling (ISCRAM, 2020)

Leveraging Ubiquitous Computing for Empathetic Routing: A Naturalistic Data-driven Approach. - Arash Tavakoli; Mehdi Boukhechba; Arsalan Heydarian (CHI Extended Abstracts, 2021)

Learning to Represent Action Values as a Hypergraph on the Action Vertices. - Arash Tavakoli; Mehdi Fatemi; Petar Kormushev (ICLR, 2021)

Driver State and Behavior Detection Through Smart Wearables. - Arash Tavakoli; Shashwat Kumar; Mehdi Boukhechba; Arsalan Heydarian (IV, 2021)

HARMONY: A Human-Centered Multimodal Driving Study in the Wild. - Arash Tavakoli; Shashwat Kumar; Xiang Guo; Vahid Balali; Mehdi Boukhechba; Arsalan Heydarian (IEEE Access, 2021)

Multimodal Driver State Modeling through Unsupervised Learning. - Arash Tavakoli; Arsalan Heydarian (CoRR, 2021)

Orchestrated Value Mapping for Reinforcement Learning. - Mehdi Fatemi; Arash Tavakoli (ICLR, 2022)

On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks. - Maximilian Seitzer; Arash Tavakoli; Dimitrije Antic; Georg Martius (ICLR, 2022)

Human wellbeing responses to real and simulated workplaces: A comparison of in-person, online, and virtual environments: poster abstract. - Eva Bianchi; Basma Altaf; Arash Tavakoli; Isabella P. Douglas; James A. Landay; Sarah L. Billington (BuildSys, 2022)

Roadway Design Matters: Variation in Bicyclists' Psycho-Physiological Responses in Different Urban Roadway Designs. - Xiang Guo; Arash Tavakoli; Erin Robartes; Austin Angulo; T. Donna Chen; Arsalan Heydarian (CoRR, 2022)

How are Drivers' Stress Levels and Emotions Associated with the Driving Context? A Naturalistic Study. - Arash Tavakoli; Nathan Lai; Vahid Balali; Arsalan Heydarian (CoRR, 2022)

The Impact of Surrounding Road Objects and Conditions on Drivers Abrupt Heart Rate Changes. - Arash Tavakoli; Arsalan Heydarian (CoRR, 2022)

Rethinking infrastructure design: Evaluating pedestrians and VRUs' psychophysiological and behavioral responses to different roadway designs. - Xiang Guo; Austin Angulo; Arash Tavakoli; Erin Robartes; T. Donna Chen; Arsalan Heydarian (CoRR, 2022)

Occupant Privacy Perception, Awareness, and Preferences in Smart Office Environments. - Beatrice Li; Arash Tavakoli; Arsalan Heydarian (CoRR, 2022)

Measuring Success, One Sensor at a Time: A Sensing Infrastructure for Longitudinal Workspace Behavior Monitoring. - Beatrice Li; Arash Tavakoli; Alan Wang 002; Navreet Kaur 001; Laura E. Barnes; Afsaneh Doryab; Arsalan Heydarian (BuildSys, 2023)

Driver State Modeling Through Latent Variable State Space Framework in the Wild. - Arash Tavakoli; Steven Boker; Arsalan Heydarian (IEEE Trans. Intell. Transp. Syst., 2023)

Public Transit of the Future: Enhancing Well-Being through Designing Human-centered Public Transportation Spaces. - Yasaman Hakiminejad; Elizabeth Pantesco; Arash Tavakoli (CoRR, 2024)

Unveiling the Impact of Cognitive Distraction on Cyclists Psycho-Behavioral Responses in an Immersive Virtual Environment. - Xiang Guo; Arash Tavakoli; T. Donna Chen; Arsalan Heydarian (IEEE Trans. Intell. Transp. Syst., 2024)

Learning in complex action spaces without policy gradients. - Arash Tavakoli; Sina Ghiassian; Nemanja Rakicevic (Trans. Mach. Learn. Res., 2025)

Shaping Passenger Experience: An Eye-Tracking Study of Public Transportation Built Environment. - Yasaman Hakiminejad; Elizabeth Pantesco; Arash Tavakoli (CoRR, 2025)

Urban Forms Across Continents: A Data-Driven Comparison of Lausanne and Philadelphia. - Arthur Carmès; Léo Catteau; Andrew Sonta; Arash Tavakoli (CoRR, 2025)

Simulation for All: A Step-by-Step Cookbook for Developing Human-Centered Multi-Agent Transportation Simulators. - Shiva Azimi; Arash Tavakoli (CoRR, 2025)