Arash Tavakoli

According to our database, Arash Tavakoli authored at least 26 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Driver State Modeling Through Latent Variable State Space Framework in the Wild.

Arash Tavakoli, Steven Boker, Arsalan Heydarian

IEEE Trans. Intell. Transp. Syst., February, 2023

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

CoRR, 2023

Measuring Success, One Sensor at a Time: A Sensing Infrastructure for Longitudinal Workspace Behavior Monitoring.

Beatrice Li, Arash Tavakoli, Alan Wang, Navreet Kaur, Laura E. Barnes, Afsaneh Doryab, Arsalan Heydarian

Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, 2023

2022

Occupant Privacy Perception, Awareness, and Preferences in Smart Office Environments.

Beatrice Li, 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

The Impact of Surrounding Road Objects and Conditions on Drivers Abrupt Heart Rate Changes.

Arash Tavakoli, 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

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

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

Proceedings of the 9th ACM International Conference on Systems for Energy-Efficient Buildings, 2022

On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks.

Maximilian Seitzer, Arash Tavakoli, Dimitrije Antic, Georg Martius

Proceedings of the Tenth International Conference on Learning Representations, 2022

Orchestrated Value Mapping for Reinforcement Learning.

Mehdi Fatemi, Arash Tavakoli

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Multimodal Driver State Modeling through Unsupervised Learning.

Arash Tavakoli, Arsalan Heydarian

CoRR, 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

Driver State and Behavior Detection Through Smart Wearables.

Arash Tavakoli, Shashwat Kumar, Mehdi Boukhechba, Arsalan Heydarian

Proceedings of the IEEE Intelligent Vehicles Symposium, 2021

Learning to Represent Action Values as a Hypergraph on the Action Vertices.

Arash Tavakoli, Mehdi Fatemi, Petar Kormushev

Proceedings of the 9th International Conference on Learning Representations, 2021

Leveraging Ubiquitous Computing for Empathetic Routing: A Naturalistic Data-driven Approach.

Arash Tavakoli, Mehdi Boukhechba, Arsalan Heydarian

Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

2020

Smart Stormwater Control Systems: A Reinforcement Learning Approach.

Cheng Wang, Benjamin D. Bowes, Arash Tavakoli, Stephen C. Adams, Jonathan L. Goodall, Peter A. Beling

Proceedings of the 17th International Conference on Information Systems for Crisis Response and Management, 2020

Personalized Driver State Profiles: A Naturalistic Data-Driven Study.

Arash Tavakoli, Mehdi Boukhechba, Arsalan Heydarian

Proceedings of the Advances in Human Aspects of Transportation, 2020

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

Using a Logarithmic Mapping to Enable Lower Discount Factors in Reinforcement Learning.

Harm van Seijen, Mehdi Fatemi, Arash Tavakoli

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Prioritizing Starting States for Reinforcement Learning.

Arash Tavakoli, Vitaly Levdik, Riashat Islam, Petar Kormushev

CoRR, 2018

The internet of wasted things (IoWT).

Arash Tavakoli, Amir Ashrafi, Arsalan Heydarian, Madhur Behl

Proceedings of the 8th International Conference on the Internet of Things, 2018

Time Limits in Reinforcement Learning.

Fabio Pardo, Arash Tavakoli, Vitaly Levdik, Petar Kormushev

Proceedings of the 35th International Conference on Machine Learning, 2018

Action Branching Architectures for Deep Reinforcement Learning.

Arash Tavakoli, Fabio Pardo, Petar Kormushev

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2016

Multiplayer Games for Learning Multirobot Coordination Algorithms.

Arash Tavakoli, Haig Nalbandian, Nora Ayanian

CoRR, 2016

Crowdsourced Coordination Through Online Games.

Arash Tavakoli, Haig Nalbandian, Nora Ayanian

Proceedings of the Eleventh ACM/IEEE International Conference on Human Robot Interation, 2016