Arash Tavakoli

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 35

Top Topics

Perceptual Aliasing

Fitted Q Iteration

Reinforcement Learning

Top Venues

BuildSys@SenSys

IEEE Trans. Intell. Transp. Syst.

Publications

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. IEEE Trans. Intell. Transp. Syst. 25 (8) (2024)
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 (2023)
Beatrice Li, Arash Tavakoli, Alan Wang, Navreet Kaur, Laura E. Barnes, Afsaneh Doryab, Arsalan Heydarian
Measuring Success, One Sensor at a Time: A Sensing Infrastructure for Longitudinal Workspace Behavior Monitoring. BuildSys@SenSys (2023)
Arash Tavakoli, Steven Boker, Arsalan Heydarian
Driver State Modeling Through Latent Variable State Space Framework in the Wild. IEEE Trans. Intell. Transp. Syst. 24 (2) (2023)
Mehdi Fatemi, Arash Tavakoli
Orchestrated Value Mapping for Reinforcement Learning. CoRR (2022)
Mehdi Fatemi, Arash Tavakoli
Orchestrated Value Mapping for Reinforcement Learning. ICLR (2022)
Eva Bianchi, Basma Altaf, Arash Tavakoli, Isabella P. Douglas, James A. Landay, Sarah L. Billington
Human wellbeing responses to real and simulated workplaces: A comparison of in-person, online, and virtual environments: poster abstract. BuildSys@SenSys (2022)
Arash Tavakoli, Nathan Lai, Vahid Balali, Arsalan Heydarian
How are Drivers' Stress Levels and Emotions Associated with the Driving Context? A Naturalistic Study. CoRR (2022)
Maximilian Seitzer, Arash Tavakoli, Dimitrije Antic, Georg Martius
On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks. CoRR (2022)
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 (2022)
Arash Tavakoli, Steven Boker, Arsalan Heydarian
Driver State Modeling through Latent Variable State Space Framework in the Wild. CoRR (2022)
Beatrice Li, Arash Tavakoli, Arsalan Heydarian
Occupant Privacy Perception, Awareness, and Preferences in Smart Office Environments. CoRR (2022)
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 (2022)
Maximilian Seitzer, Arash Tavakoli, Dimitrije Antic, Georg Martius
On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks. ICLR (2022)
Arash Tavakoli, Arsalan Heydarian
The Impact of Surrounding Road Objects and Conditions on Drivers Abrupt Heart Rate Changes. CoRR (2022)
Arash Tavakoli, Shashwat Kumar, Xiang Guo, Vahid Balali, Mehdi Boukhechba, Arsalan Heydarian
HARMONY: A Human-Centered Multimodal Driving Study in the Wild. IEEE Access 9 (2021)
Arash Tavakoli, Arsalan Heydarian
Multimodal Driver State Modeling through Unsupervised Learning. CoRR (2021)
Arash Tavakoli, Mehdi Boukhechba, Arsalan Heydarian
Leveraging Ubiquitous Computing for Empathetic Routing: A Naturalistic Data-driven Approach. CHI Extended Abstracts (2021)
Arash Tavakoli, Shashwat Kumar, Mehdi Boukhechba, Arsalan Heydarian
Driver State and Behavior Detection Through Smart Wearables. IV (2021)
Arash Tavakoli, Mehdi Fatemi, Petar Kormushev
Learning to Represent Action Values as a Hypergraph on the Action Vertices. ICLR (2021)
Arash Tavakoli, Shashwat Kumar, Mehdi Boukhechba, Arsalan Heydarian
Driver State and Behavior Detection Through Smart Wearables. CoRR (2021)
Arash Tavakoli, Mehdi Fatemi, Petar Kormushev
Learning to Represent Action Values as a Hypergraph on the Action Vertices. CoRR (2020)
Arash Tavakoli, Mehdi Boukhechba, Arsalan Heydarian
Personalized Driver State Profiles: A Naturalistic Data-Driven Study. AHFE (12) (2020)
Cheng Wang, Benjamin Bowes, Arash Tavakoli, Stephen C. Adams, Jonathan L. Goodall, Peter A. Beling
Smart Stormwater Control Systems: A Reinforcement Learning Approach. ISCRAM (2020)
Tamás Kriváchy, Yu Cai, Daniel Cavalcanti, Arash Tavakoli, Nicolas Gisin, Nicolas Brunner
A neural network oracle for quantum nonlocality problems in networks. CoRR (2019)
Harm van Seijen, Mehdi Fatemi, Arash Tavakoli
Using a Logarithmic Mapping to Enable Lower Discount Factors in Reinforcement Learning. NeurIPS (2019)
Harm van Seijen, Mehdi Fatemi, Arash Tavakoli
Using a Logarithmic Mapping to Enable Lower Discount Factors in Reinforcement Learning. CoRR (2019)
Arash Tavakoli, Amir Ashrafi, Arsalan Heydarian, Madhur Behl
The internet of wasted things (IoWT). IOT (2018)
Fabio Pardo, Arash Tavakoli, Vitaly Levdik, Petar Kormushev
Time Limits in Reinforcement Learning. ICML (2018)
Arash Tavakoli, Fabio Pardo, Petar Kormushev
Action Branching Architectures for Deep Reinforcement Learning. AAAI (2018)
Arash Tavakoli, Vitaly Levdik, Riashat Islam, Petar Kormushev
Prioritizing Starting States for Reinforcement Learning. CoRR (2018)
Fabio Pardo, Arash Tavakoli, Vitaly Levdik, Petar Kormushev
Time Limits in Reinforcement Learning. CoRR (2017)
Arash Tavakoli, Fabio Pardo, Petar Kormushev
Action Branching Architectures for Deep Reinforcement Learning. CoRR (2017)
Arash Tavakoli, Haig Nalbandian, Nora Ayanian
Multiplayer Games for Learning Multirobot Coordination Algorithms. CoRR (2016)
Arash Tavakoli, Haig Nalbandian, Nora Ayanian
Crowdsourced Coordination Through Online Games. HRI (2016)