5 citations · 12 across the 6 of their papers we have counts for
7 papers
A Domain-Independent Agent Architecture for Adaptive Operation in Evolving Open Worlds
Shiwali Mohan, Wiktor Piotrowski, Roni Stern +4
Model-based reasoning agents are ill-equipped to act in novel situations in which their model of the environment no longer sufficiently represents the world. We propose HYDRA - a f…
Heuristic Search For Physics-Based Problems: Angry Birds in PDDL+
Wiktor Piotrowski, Yoni Sher, Sachin Grover +2
This paper studies how a domain-independent planner and combinatorial search can be employed to play Angry Birds, a well established AI challenge problem. To model the game, we use…
Quasi-Characters in Current Algebra at Fractional Levels
Sachin Grover
We study the even characters of conformal field theories (CFTs) at admissible fractional levels obtained from the difference of the highest weight characters in t…
Characterizing Human Explanation Strategies to Inform the Design of Explainable AI for Building Damage Assessment
Donghoon Shin, Sachin Grover, Kenneth Holstein +1
Explainable AI (XAI) is a promising means of supporting human-AI collaborations for high-stakes visual detection tasks, such as damage detection tasks from satellite imageries, as…
COVID-19 India Dataset: Parsing COVID-19 Data in Daily Health Bulletins from States in India
Mayank Agarwal, Tathagata Chakraborti, Sachin Grover +1
While India has been one of the hotspots of COVID-19, data about the pandemic from the country has proved to be largely inaccessible at scale. Much of the data exists in unstructur…
Model Elicitation through Direct Questioning
Sachin Grover, David Smith, Subbarao Kambhampati
The future will be replete with scenarios where humans are robots will be working together in complex environments. Teammates interact, and the robot's interaction has to be about…
Plan Explanations as Model Reconciliation -- An Empirical Study
Tathagata Chakraborti, Sarath Sreedharan, Sachin Grover +1
Recent work in explanation generation for decision making agents has looked at how unexplained behavior of autonomous systems can be understood in terms of differences in the model…