Atrisha Sarkar

28 papers A* 4A 2C 1Journal 20Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Planning Autonomous Vehicle Maneuvering in Work Zones Through Game-Theoretic Trajectory Generation.
CoRR
Mayar Nour, Atrisha Sarkar, Mohamed H. Zaki
2026 J jnl
Rational Silence and False Polarization: How Viewpoint Organizations and Recommender Systems Distort the Expression of Public Opinion.
J. Artif. Intell. Res.
Atrisha Sarkar, Gillian K. Hadfield
2026 J jnl
Structural transparency of societal AI alignment through Institutional Logics.
CoRR
Atrisha Sarkar, Isam Faik
2025 J jnl
Full-Stack Alignment: Co-Aligning AI and Institutions with Thick Models of Value.
CoRR
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
2025 J jnl
LLM-augmented empirical game theoretic simulation for social-ecological systems.
CoRR
Jennifer Shi, Christopher K. Frantz, Christian Kimmich, Saba N. Siddiki, Atrisha Sarkar
2024 J jnl
Dynamics of Polarization Under Normative Institutions and Opinion Expression Stewarding.
CoRR
Atrisha Sarkar, Gillian K. Hadfield
2024 J jnl
Normative Modules: A Generative Agent Architecture for Learning Norms that Supports Multi-Agent Cooperation.
CoRR
Atrisha Sarkar, Andrei Ioan Muresanu, Carter Blair, Aaryam Sharma, Rakshit S. Trivedi, Gillian K. Hadfield
2023 A conf
Revealed Multi-Objective Utility Aggregation in Human Driving.
AAMAS
Atrisha Sarkar, Kate Larson, Krzysztof Czarnecki
2023 J jnl
Revealed Multi-Objective Utility Aggregation in Human Driving.
CoRR
Atrisha Sarkar, Kate Larson, Krzysztof Czarnecki
2022 C conf
A Hierarchical Pedestrian Behavior Model to Generate Realistic Human Behavior in Traffic Simulation.
IV
Scott Larter, Rodrigo Queiroz, Sean Sedwards, Atrisha Sarkar, Krzysztof Czarnecki
2022 J jnl
A Hierarchical Pedestrian Behavior Model to Generate Realistic Human Behavior in Traffic Simulation.
CoRR
Scott Larter, Rodrigo Queiroz, Sean Sedwards, Atrisha Sarkar, Krzysztof Czarnecki
2022 A* conf
Generalized Dynamic Cognitive Hierarchy Models for Strategic Driving Behavior.
AAAI
Atrisha Sarkar, Kate Larson, Krzysztof Czarnecki
2022 A* conf
I Know You Can't See Me: Dynamic Occlusion-Aware Safety Validation of Strategic Planners for Autonomous Vehicles Using Hypergames.
ICRA
Maximilian Kahn, Atrisha Sarkar, Krzysztof Czarnecki
2021 J jnl
A taxonomy of strategic human interactions in traffic conflicts.
CoRR
Atrisha Sarkar, Kate Larson, Krzysztof Czarnecki
2021 J jnl
Generalized dynamic cognitive hierarchy models for strategic driving behavior.
CoRR
Atrisha Sarkar, Kate Larson, Krzysztof Czarnecki
2021 J jnl
I Know You Can't See Me: Dynamic Occlusion-Aware Safety Validation of Strategic Planners for Autonomous Vehicles Using Hypergames.
CoRR
Maximilian Kahn, Atrisha Sarkar, Krzysztof Czarnecki
2021 A* conf
Solution Concepts in Hierarchical Games Under Bounded Rationality With Applications to Autonomous Driving.
AAAI
Atrisha Sarkar, Krzysztof Czarnecki
2020 J jnl
Solution Concepts in Hierarchical Games with Applications to Autonomous Driving.
CoRR
Atrisha Sarkar, Krzysztof Czarnecki
2019 A conf
A behavior driven approach for sampling rare event situations for autonomous vehicles.
IROS
Atrisha Sarkar, Krzysztof Czarnecki
2019 J jnl
A behavior driven approach for sampling rare event situations for autonomous vehicles.
CoRR
Atrisha Sarkar, Krzysztof Czarnecki
2019 J jnl
Clafer: Lightweight Modeling of Structure, Behaviour, and Variability.
Art Sci. Eng. Program.
Paulius Juodisius, Atrisha Sarkar, Raghava Rao Mukkamala, Michal Antkiewicz, Krzysztof Czarnecki, Andrzej Wasowski
2019 J jnl
Design Space of Behaviour Planning for Autonomous Driving.
CoRR
Marko Ilievski, Sean Sedwards, Ashish Gaurav, Aravind Balakrishnan, Atrisha Sarkar, Jaeyoung Lee, Frédéric Bouchard, Ryan De Iaco, Krzysztof Czarnecki
2019 J jnl
Example-driven modeling: on effects of using examples on structural model comprehension, what makes them useful, and how to create them.
Softw. Syst. Model.
Dina Zayan, Atrisha Sarkar, Michal Antkiewicz, Rita Suzana Pitangueira Maciel, Krzysztof Czarnecki
2018 J jnl
A Brandom-ian view of Reinforcement Learning towards strong-AI.
CoRR
Atrisha Sarkar
2018 J jnl
Clafer: Lightweight Modeling of Structure, Behaviour, and Variability.
CoRR
Paulius Juodisius, Atrisha Sarkar, Raghava Rao Mukkamala, Michal Antkiewicz, Krzysztof Czarnecki, Andrzej Wasowski
2018 J jnl
Data-efficient performance learning for configurable systems.
Empir. Softw. Eng.
Jianmei Guo, Dingyu Yang, Norbert Siegmund, Sven Apel, Atrisha Sarkar, Pavel Valov, Krzysztof Czarnecki, Andrzej Wasowski, Huiqun Yu
2017 — conf
Trajectory prediction of traffic agents at urban intersections through learned interactions.
ITSC
Atrisha Sarkar, Krzysztof Czarnecki, Matt Angus, Changjian Li, Steven Lake Waslander
2015 A* conf
Cost-Efficient Sampling for Performance Prediction of Configurable Systems (T).
ASE
Atrisha Sarkar, Jianmei Guo, Norbert Siegmund, Sven Apel, Krzysztof Czarnecki