activity
20182026
most citedClafer: Lightweight Modeling of Structure, Behaviour, and Variability

25 citations · 74 across the 13 of their papers we have counts for

collaborators
Showing cs.AIShow all

5 papers · 1 filter

cs.AI2023

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…

cs.AI2021★ 1 cited

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…

cs.AI2021★ 9 cited

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…

cs.AI2020★ 1 cited

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…

cs.AI2018

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…