25 citations · 74 across the 13 of their papers we have counts for
15 papers
It Takes Little to Rewrite Perception: Targeted Semantic Substitution in Vision-Language Models at
Binchi Zhang, Atrisha Sarkar, Apurva Narayan
Vision Language Models (VLMs) are widely deployed in safety-critical scenarios, and understanding to which extent they can be controlled by adversarial perturbation is a prerequisi…
Level-k Distinguishable Mechanisms for Evaluating Bounded Rationality in LLMs
Binchi Zhang, Atrisha Sarkar
Strategic depth of reasoning is essential for human interaction of Large Language Models (LLMs) operating in boundedly rational environments. However, existing evaluations are prim…
Planning Autonomous Vehicle Maneuvering in Work Zones Through Game-Theoretic Trajectory Generation
Mayar Nour, Atrisha Sarkar, Mohamed H. Zaki
Work zone navigation remains one of the most challenging manoeuvres for autonomous vehicles (AVs), where constrained geometries and unpredictable traffic patterns create a high-ris…
Normative Modules: A Generative Agent Architecture for Learning Norms that Supports Multi-Agent Cooperation
Atrisha Sarkar, Andrei Ioan Muresanu, Carter Blair +3
Generative agents, which implement behaviors using a large language model (LLM) to interpret and evaluate an environment, has demonstrated the capacity to solve complex tasks acros…
Rational Silence and False Polarization: How Viewpoint Organizations and Recommender Systems Distort the Expression of Public Opinion
Atrisha Sarkar, Gillian K. Hadfield
AI-based social media platforms has already transformed the nature of economic and social interaction. AI enables the massive scale and highly personalized nature of online informa…
Revealed Multi-Objective Utility Aggregation in Human Driving
Atrisha Sarkar, Kate Larson, Krzysztof Czarnecki
A central design problem in game theoretic analysis is the estimation of the players' utilities. In many real-world interactive situations of human decision making, including human…
A Hierarchical Pedestrian Behavior Model to Generate Realistic Human Behavior in Traffic Simulation
Scott Larter, Rodrigo Queiroz, Sean Sedwards +2
Modelling pedestrian behavior is crucial in the development and testing of autonomous vehicles. In this work, we present a hierarchical pedestrian behavior model that generates hig…
A taxonomy of strategic human interactions in traffic conflicts
Atrisha Sarkar, Kate Larson, Krzysztof Czarnecki
In order to enable autonomous vehicles (AV) to navigate busy traffic situations, in recent years there has been a focus on game-theoretic models for strategic behavior planning in…
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
A particular challenge for both autonomous and human driving is dealing with risk associated with dynamic occlusion, i.e., occlusion caused by other vehicles in traffic. Based on t…
Generalized dynamic cognitive hierarchy models for strategic driving behavior
Atrisha Sarkar, Kate Larson, Krzysztof Czarnecki
While there has been an increasing focus on the use of game theoretic models for autonomous driving, empirical evidence shows that there are still open questions around dealing wit…
Solution Concepts in Hierarchical Games under Bounded Rationality with Applications to Autonomous Driving
Atrisha Sarkar, Krzysztof Czarnecki
With autonomous vehicles (AV) set to integrate further into regular human traffic, there is an increasing consensus on treating AV motion planning as a multi-agent problem. However…
Design Space of Behaviour Planning for Autonomous Driving
Marko Ilievski, Sean Sedwards, Ashish Gaurav +6
We explore the complex design space of behaviour planning for autonomous driving. Design choices that successfully address one aspect of behaviour planning can critically constrain…
A behavior driven approach for sampling rare event situations for autonomous vehicles
Atrisha Sarkar, Krzysztof Czarnecki
Performance evaluation of urban autonomous vehicles requires a realistic model of the behavior of other road users in the environment. Learning such models from data involves colle…
Clafer: Lightweight Modeling of Structure, Behaviour, and Variability
Paulius Juodisius, Atrisha Sarkar, Raghava Rao Mukkamala +3
Embedded software is growing fast in size and complexity, leading to intimate mixture of complex architectures and complex control. Consequently, software specification requires mo…
A Brandom-ian view of Reinforcement Learning towards strong-AI
Atrisha Sarkar
The analytic philosophy of Robert Brandom, based on the ideas of pragmatism, paints a picture of sapience, through inferentialism. In this paper, we present a theory, that utilizes…