PhD

Publications

2021

Sarkar, Atrisha, Kate Larson, and Krzysztof Czarnecki. "Generalized dynamic cognitive hierarchy models for strategic driving behavior." arXiv preprint arXiv:2109.09861, 2022 AAAI Conference on Artificial Intelligence (AAAI 2022).

Kahn, Maximilian, Atrisha Sarkar, and Krzysztof Czarnecki. "I Know You Can't See Me: Dynamic Occlusion-Aware Safety Validation of Strategic Planners for Autonomous Vehicles Using Hypergames." arXiv preprint arXiv:2109.09807, IEEE International Conference on Robotics and Automation (ICRA 2022).

Sarkar, Atrisha, Kate Larson, and Krzysztof Czarnecki. "A taxonomy of strategic human interactions in traffic conflicts." arXiv preprint arXiv:2109.13367,  NeurIPS 2021 Cooperative AI Workshop..

2020

A Sarkar, K Czarnecki, "Solution Concepts in Hierarchical Games under Bounded Rationality with Applications to Autonomous Driving", The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21).

2019

A Sarkar, K Czarnecki, "A behavior driven approach for sampling rare event situations for autonomous vehicles", 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Ilievski, M., Sedwards, S., Gaurav, A., Balakrishnan, A., Sarkar, A., Lee, J., ... & Czarnecki, K. (2019). Design space of behaviour planning for autonomous driving. arXiv preprint arXiv:1908.07931.

2018

Zayan, D., A. Sarkar, M. Antkiewicz, R. Suzana Pit Maciel, and K. Czarnecki, "Example-driven modeling: on effects of using examples on structural model comprehension, what makes them useful, and how to create them", Software & Systems Modeling, 01/2018. BibTex

Juodisius, P., Sarkar, A., Mukkamala, R. R., Antkiewicz, M., Czarnecki, K., & Wasowski, A. (2019). Clafer: Lightweight Modeling of Structure, Behaviour, and Variability. Programming Journal 3, 1 (2019), 2.

2017

Guo, J., D. Yang, N. Siegmund, S. Apel, A. Sarkar, P. Valov, K. Czarnecki, A. Wasowski, and H. Yu, Data-efficient performance learning for configurable systems, 2017.

Atrisha Sarkar, Krzysztof Czarnecki, Matt Angus, Changjiang Li, and Steven Waslander, Trajectory Prediction of Traffic Agents at Urban Intersections Through Learned Interactions, IEEE Intelligent Transportation Systems, 2017

2015

Sarkar, A., Guo, J., Siegmund, N., Apel, S., & Czarnecki, K. (2015, November). Cost-efficient sampling for performance prediction of configurable systems (t). In 2015 30th IEEE/ACM International Conference on Automated Software Engineering (ASE) (pp. 342-352). IEEE.

Current projects

 
Affiliation: 
University of Toronto
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We are looking for postdocs and graduate students interested in working on all aspects of autonomous driving.

For more information, visit Open positions.