Atrisha Sarkar

According to our database, Atrisha Sarkar authored at least 22 papers between 2015 and 2026.

Collaborative distances:

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

2026

Planning Autonomous Vehicle Maneuvering in Work Zones Through Game-Theoretic Trajectory Generation.

Mayar Nour, Atrisha Sarkar, Mohamed H. Zaki

CoRR, March, 2026

Structural transparency of societal AI alignment through Institutional Logics.

Atrisha Sarkar, Isam Faik

CoRR, February, 2026

Rational Silence and False Polarization: How Viewpoint Organizations and Recommender Systems Distort the Expression of Public Opinion.

Atrisha Sarkar, Gillian K. Hadfield

J. Artif. Intell. Res., 2026

2025

Full-Stack Alignment: Co-Aligning AI and Institutions with Thick Models of Value.

Joe Edelman, Tan Zhi-Xuan, Ryan Lowe, Oliver Klingefjord, Vincent Wang-Mascianica, Matija Franklin, Ryan Othniel Kearns, Ellie Hain, Atrisha Sarkar, Michiel A. Bakker, Fazl Barez, David Duvenaud, Jakob N. Foerster, Iason Gabriel, Joseph Gubbels, Bryce Goodman, Andreas Haupt, Jobst Heitzig, Julian Jara-Ettinger, Atoosa Kasirzadeh, James Ravi Kirkpatrick, Andrew Koh, W. Bradley Knox, Philipp E. Koralus, Joel Lehman, Sydney Levine, Samuele Marro, Manon Revel, Toby Shorin, Morgan Sutherland, Michael Henry Tessler, Ivan Vendrov, James Wilken-Smith

CoRR, December, 2025

LLM-augmented empirical game theoretic simulation for social-ecological systems.

Jennifer Shi, Christopher K. Frantz, Christian Kimmich, Saba N. Siddiki, Atrisha Sarkar

CoRR, October, 2025

2024

Normative Modules: A Generative Agent Architecture for Learning Norms that Supports Multi-Agent Cooperation.

Atrisha Sarkar, Andrei Ioan Muresanu, Carter Blair, Aaryam Sharma, Rakshit S. Trivedi, Gillian K. Hadfield

CoRR, 2024

Dynamics of Polarization Under Normative Institutions and Opinion Expression Stewarding.

Atrisha Sarkar, Gillian K. Hadfield

CoRR, 2024

2023

Revealed Multi-Objective Utility Aggregation in Human Driving.

Atrisha Sarkar, Kate Larson, Krzysztof Czarnecki

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022

A Hierarchical Pedestrian Behavior Model to Generate Realistic Human Behavior in Traffic Simulation.

Scott Larter, Rodrigo Queiroz, Sean Sedwards, Atrisha Sarkar, Krzysztof Czarnecki

Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022

I Know You Can't See Me: Dynamic Occlusion-Aware Safety Validation of Strategic Planners for Autonomous Vehicles Using Hypergames.

Maximilian Kahn, Atrisha Sarkar, Krzysztof Czarnecki

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Generalized Dynamic Cognitive Hierarchy Models for Strategic Driving Behavior.

Atrisha Sarkar, Kate Larson, Krzysztof Czarnecki

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

A taxonomy of strategic human interactions in traffic conflicts.

Atrisha Sarkar, Kate Larson, Krzysztof Czarnecki

CoRR, 2021

Solution Concepts in Hierarchical Games Under Bounded Rationality With Applications to Autonomous Driving.

Atrisha Sarkar, Krzysztof Czarnecki

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Solution Concepts in Hierarchical Games with Applications to Autonomous Driving.

Atrisha Sarkar, Krzysztof Czarnecki

CoRR, 2020

2019

Example-driven modeling: on effects of using examples on structural model comprehension, what makes them useful, and how to create them.

Dina Zayan, Atrisha Sarkar, Michal Antkiewicz, Rita Suzana Pitangueira Maciel, Krzysztof Czarnecki

Softw. Syst. Model., 2019

Clafer: Lightweight Modeling of Structure, Behaviour, and Variability.

Paulius Juodisius, Atrisha Sarkar, Raghava Rao Mukkamala, Michal Antkiewicz, Krzysztof Czarnecki, Andrzej Wasowski

Art Sci. Eng. Program., 2019

Design Space of Behaviour Planning for Autonomous Driving.

Marko Ilievski, Sean Sedwards, Ashish Gaurav, Aravind Balakrishnan, Atrisha Sarkar, Jaeyoung Lee, Frédéric Bouchard, Ryan De Iaco, Krzysztof Czarnecki

CoRR, 2019

A behavior driven approach for sampling rare event situations for autonomous vehicles.

Atrisha Sarkar, Krzysztof Czarnecki

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

2018

Data-efficient performance learning for configurable systems.

Jianmei Guo, Dingyu Yang, Norbert Siegmund, Sven Apel, Atrisha Sarkar, Pavel Valov, Krzysztof Czarnecki, Andrzej Wasowski, Huiqun Yu

Empir. Softw. Eng., 2018

A Brandom-ian view of Reinforcement Learning towards strong-AI.

Atrisha Sarkar

CoRR, 2018

2017

Trajectory prediction of traffic agents at urban intersections through learned interactions.

Atrisha Sarkar, Krzysztof Czarnecki, Matt Angus, Changjian Li, Steven Lake Waslander

Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017

2015

Cost-Efficient Sampling for Performance Prediction of Configurable Systems (T).

Atrisha Sarkar, Jianmei Guo, Norbert Siegmund, Sven Apel, Krzysztof Czarnecki

Proceedings of the 30th IEEE/ACM International Conference on Automated Software Engineering, 2015