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Arash Tavakoli
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Journal Articles
- 2024
- [j3]Xiang Guo
, Arash Tavakoli
Unveiling the Impact of Cognitive Distraction on Cyclists Psycho-Behavioral Responses in an Immersive Virtual Environment. IEEE Trans. Intell. Transp. Syst. 25(8): 10274-10285 (2024) - 2023
- [j2]Arash Tavakoli
Driver State Modeling Through Latent Variable State Space Framework in the Wild. IEEE Trans. Intell. Transp. Syst. 24(2): 1879-1893 (2023) - 2021
- [j1]Arash Tavakoli
HARMONY: A Human-Centered Multimodal Driving Study in the Wild. IEEE Access 9: 23956-23978 (2021)
Conference and Workshop Papers
- 2023
- [c14]Beatrice Li
Measuring Success, One Sensor at a Time: A Sensing Infrastructure for Longitudinal Workspace Behavior Monitoring. BuildSys 2023: 413-420 - 2022
- [c13]Mehdi Fatemi, Arash Tavakoli:
Orchestrated Value Mapping for Reinforcement Learning. ICLR 2022 - [c12]Maximilian Seitzer, Arash Tavakoli, Dimitrije Antic, Georg Martius:
On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks. ICLR 2022 - [c11]Eva Bianchi
Human wellbeing responses to real and simulated workplaces: A comparison of in-person, online, and virtual environments: poster abstract. BuildSys 2022: 299-300 - 2021
- [c10]Arash Tavakoli, Mehdi Boukhechba, Arsalan Heydarian:
Leveraging Ubiquitous Computing for Empathetic Routing: A Naturalistic Data-driven Approach. CHI Extended Abstracts 2021: 313:1-313:6 - [c9]Arash Tavakoli, Mehdi Fatemi, Petar Kormushev:
Learning to Represent Action Values as a Hypergraph on the Action Vertices. ICLR 2021 - [c8]Arash Tavakoli, Shashwat Kumar, Mehdi Boukhechba, Arsalan Heydarian:
Driver State and Behavior Detection Through Smart Wearables. IV 2021: 559-565 - 2020
- [c7]Arash Tavakoli, Mehdi Boukhechba, Arsalan Heydarian
Personalized Driver State Profiles: A Naturalistic Data-Driven Study. AHFE (12) 2020: 32-39 - [c6]Cheng Wang, Benjamin D. Bowes, Arash Tavakoli, Stephen C. Adams, Jonathan L. Goodall, Peter A. Beling:
Smart Stormwater Control Systems: A Reinforcement Learning Approach. ISCRAM 2020: 2-13 - 2019
- [c5]Harm van Seijen, Mehdi Fatemi, Arash Tavakoli:
Using a Logarithmic Mapping to Enable Lower Discount Factors in Reinforcement Learning. NeurIPS 2019: 14111-14121 - 2018
- [c4]Arash Tavakoli, Fabio Pardo, Petar Kormushev:
Action Branching Architectures for Deep Reinforcement Learning. AAAI 2018: 4131-4138 - [c3]Fabio Pardo, Arash Tavakoli, Vitaly Levdik, Petar Kormushev:
Time Limits in Reinforcement Learning. ICML 2018: 4042-4051 - [c2]Arash Tavakoli, Amir Ashrafi, Arsalan Heydarian, Madhur Behl:
The internet of wasted things (IoWT). IOT 2018: 39:1-39:3 - 2016
- [c1]Arash Tavakoli, Haig Nalbandian
Crowdsourced Coordination Through Online Games. HRI 2016: 527-528
Informal and Other Publications
- 2024
- [i20]Yasaman Hakiminejad, Elizabeth Pantesco, Arash Tavakoli:
Public Transit of the Future: Enhancing Well-Being through Designing Human-centered Public Transportation Spaces. CoRR abs/2408.01908 (2024) - [i19]Arash Tavakoli, Sina Ghiassian, Nemanja Rakicevic:
Learning in complex action spaces without policy gradients. CoRR abs/2410.06317 (2024) - 2023
- [i18]Xiang Guo, Arash Tavakoli, T. Donna Chen, Arsalan Heydarian:
Unveiling the Impact of Cognitive Distraction on Cyclists Psycho-behavioral Responses in an Immersive Virtual Environment. CoRR abs/2307.07623 (2023) - 2022
- [i17]Xiang Guo, Arash Tavakoli, Erin Robartes, Austin Angulo, T. Donna Chen, Arsalan Heydarian:
Roadway Design Matters: Variation in Bicyclists' Psycho-Physiological Responses in Different Urban Roadway Designs. CoRR abs/2202.13468 (2022) - [i16]Arash Tavakoli, Steven Boker, Arsalan Heydarian:
Driver State Modeling through Latent Variable State Space Framework in the Wild. CoRR abs/2203.00834 (2022) - [i15]Mehdi Fatemi, Arash Tavakoli:
Orchestrated Value Mapping for Reinforcement Learning. CoRR abs/2203.07171 (2022) - [i14]Maximilian Seitzer, Arash Tavakoli, Dimitrije Antic, Georg Martius:
On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks. CoRR abs/2203.09168 (2022) - [i13]Arash Tavakoli, Nathan Lai, Vahid Balali, Arsalan Heydarian
How are Drivers' Stress Levels and Emotions Associated with the Driving Context? A Naturalistic Study. CoRR abs/2205.06116 (2022) - [i12]Arash Tavakoli, Arsalan Heydarian
The Impact of Surrounding Road Objects and Conditions on Drivers Abrupt Heart Rate Changes. CoRR abs/2205.11014 (2022) - [i11]Xiang Guo, Austin Angulo, Arash Tavakoli, Erin Robartes, T. Donna Chen, Arsalan Heydarian:
Rethinking infrastructure design: Evaluating pedestrians and VRUs' psychophysiological and behavioral responses to different roadway designs. CoRR abs/2210.01254 (2022) - [i10]Beatrice Li
Occupant Privacy Perception, Awareness, and Preferences in Smart Office Environments. CoRR abs/2212.11768 (2022) - 2021
- [i9]Arash Tavakoli, Shashwat Kumar, Mehdi Boukhechba, Arsalan Heydarian:
Driver State and Behavior Detection Through Smart Wearables. CoRR abs/2104.13889 (2021) - [i8]Arash Tavakoli, Arsalan Heydarian:
Multimodal Driver State Modeling through Unsupervised Learning. CoRR abs/2110.01727 (2021) - 2020
- [i7]Arash Tavakoli, Mehdi Fatemi, Petar Kormushev:
Learning to Represent Action Values as a Hypergraph on the Action Vertices. CoRR abs/2010.14680 (2020) - 2019
- [i6]Harm van Seijen, Mehdi Fatemi, Arash Tavakoli:
Using a Logarithmic Mapping to Enable Lower Discount Factors in Reinforcement Learning. CoRR abs/1906.00572 (2019) - [i5]Tamás Kriváchy, Yu Cai, Daniel Cavalcanti, Arash Tavakoli, Nicolas Gisin, Nicolas Brunner:
A neural network oracle for quantum nonlocality problems in networks. CoRR abs/1907.10552 (2019) - 2018
- [i4]Arash Tavakoli, Vitaly Levdik, Riashat Islam, Petar Kormushev:
Prioritizing Starting States for Reinforcement Learning. CoRR abs/1811.11298 (2018) - 2017
- [i3]Arash Tavakoli, Fabio Pardo, Petar Kormushev:
Action Branching Architectures for Deep Reinforcement Learning. CoRR abs/1711.08946 (2017) - [i2]Fabio Pardo, Arash Tavakoli, Vitaly Levdik, Petar Kormushev:
Time Limits in Reinforcement Learning. CoRR abs/1712.00378 (2017) - 2016
- [i1]Arash Tavakoli, Haig Nalbandian, Nora Ayanian:
Multiplayer Games for Learning Multirobot Coordination Algorithms. CoRR abs/1604.05942 (2016)
Coauthor Index
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