Publications

Publications are organized based on the primary venue. Some cross-cuts multiple areas.

Economics + AI:

(Working paper) Sarkar, Atrisha, Gillian K. Hadfield. “Normative institutions and opinion expression stewarding”, Earlier version presented at Society for Institutional and Organizational Economics (SIOE) 2023. Arxiv

Multiagent Systems (AI):

(Working paper) Sarkar, A., Muresanu, A. I., Blair, C., Sharma, A., Trivedi, R. S., & Hadfield, G. K. (2024). Normative Modules: A Generative Agent Architecture for Learning Norms that Supports Multi-Agent Cooperation (Version 1). Foundation Models and Game Theory workshop at EC 2024 arXiv.

(Working paper) Rakshit Trivedi, Nikhil Chandak, Carter Blair, Atrisha Sarkar, Tehilla Weltman, Dylan Hadfield-Menell, Gillian K Hadfield. Altared Environments: The Role of Normative Infrastructure in AI Alignment Agentic Markets Workshop at ICML 2024 paper

Sarkar, Atrisha, Kate Larson, and Krzysztof Czarnecki. “Revealed Multi-Objective Utility Aggregation in Human Driving.” arXiv preprint arXiv:2303.07435 2023 Autononous Agents and Multi-Agent Systems (AAMAS 2023) (acceptance rate 23%, full paper).

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) (acceptance rate 14.2%, main track).

Sarkar, Atrisha, and Krzysztof Czarnecki. “Solution Concepts in Hierarchical Games Under Bounded Rationality With Applications to Autonomous Driving.” Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 35. No. 6. (AAAI) 2021. (acceptance rate: 21%)

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.

Robotics:

Kahn, Maximilian, Sarkar, Atrisha, 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’22).

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

Sarkar, Atrisha, et al., “Trajectory prediction of traffic agents at urban intersections through learned interactions.” 2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC). IEEE, 2017.

Marko Ilievski, Sean Sedwards, Ashish Gaurav, Aravind Balakrishnan, Atrisha Sarkar, Jaeyoung Lee, Frédéric Bouchard, Ryan De Iaco, Krzysztof Czarnecki “Design Space of Behaviour Planning for Autonomous Driving.” arXiv preprint arXiv:1908.07931 (2019).

Software Engineering:

Sarkar, Atrisha, et al., “Cost-efficient sampling for performance prediction of configurable systems (t).” 2015 30th IEEE/ACM International Conference on Automated Software Engineering (ASE). IEEE, 2015. (acceptance rate: 19%)

Paulius Juodisius, Atrisha Sarkar, Raghava Rao Mukkamala, Michal Antkiewicz, Krzysztof Czarnecki, Andrzej Wasowski “Clafer: Lightweight Modeling of Structure, Behaviour, and Variability.” The Art, Science, and Engineering of Programming, 2019, Vol. 3, Issue 1, Article 2

Dina Zayan, Atrisha Sarkar, Michał Antkiewicz, Rita Suzana Pitangueira Maciel, Krzysztof Czarnecki” Example-driven modeling: On the effects of using examples on structural model comprehension, what makes them useful, and how to create them.” Software & Systems Modeling 18.3 (2019): 2213-2239.

Jianmei Guo, Dingyu Yang, Norbert Siegmund, Sven Apel, Atrisha Sarkar, Pavel Valov, Krzysztof Czarnecki, Andrzej Wasowski, Huiqun Yu “Data-efficient performance learning for configurable systems.” Empirical Software Engineering 23.3 (2018): 1826-1867.