350 citations · 371 across the 12 of their papers we have counts for
3 papers · 1 filter
PDDLFuse: A Tool for Generating Diverse Planning Domains
Vedant Khandelwal, Amit Sheth, Forest Agostinelli
Various real-world challenges require planning algorithms that can adapt to a broad range of domains. Traditionally, the creation of planning domains has relied heavily on human im…
Towards Learning Foundation Models for Heuristic Functions to Solve Pathfinding Problems
Vedant Khandelwal, Amit Sheth, Forest Agostinelli
Pathfinding problems are found throughout robotics, computational science, and natural sciences. Traditional methods to solve these require training deep neural networks (DNNs) for…
Trust and ethical considerations in a multi-modal, explainable AI-driven chatbot tutoring system: The case of collaboratively solving Rubik's Cube
Kausik Lakkaraju, Vedant Khandelwal, Biplav Srivastava +6
Artificial intelligence (AI) has the potential to transform education with its power of uncovering insights from massive data about student learning patterns. However, ethical and…