Publications

You can find my latest articles on my Google Scholar profile.

Last Updated: March 28, 2026

Top-K Gated Macro-Actions for Neural Heuristic Search

Vedant Khandelwal et al.

Under review at SOCS 2026, 2026

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Toward Neurosymbolic Reinforcement Learning via Editable Specifications

Vedant Khandelwal, Hong Yung Yip, and Amit Sheth

AAAI-MAKE 2026, 2026

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Language Models Coupled with Metacognition Can Outperform Reasoning Models

Vedant Khandelwal, Francesca Rossi, Keerthiram Murugesan, Erik Miehling, Murray Campbell, Karthikeyan Natesan Ramamurthy, and Lior Horesh.

arXiv preprint arXiv:2508.17959 (under review at ICML 2026), 2025

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Inductive Logic Programming for Heuristic Search

Rojina Panta*, Vedant Khandelwal*, Celeste Veronese, Amit Sheth, Daniele Meli, and Forest Agostinelli.

Accepted at both IJCLR 2025 (5th International Joint Conference on Learning & Reasoning) and the ICAPS 2025 Workshop on Planning and Reinforcement Learning (PRL), 2025

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NeuroLit Navigator: A Neurosymbolic Approach to Scholarly Article Searches for Systematic Reviews

Vedant Khandelwal, Kaushik Roy, Valerie Lookingbill, Ritvik Garimella, Harshul Surana, Heather Heckman, and Amit Sheth.

arXiv preprint arXiv:2503.00278, 2025

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PDDLFuse: A Tool for Generating Diverse Planning Domains

Vedant Khandelwal, Amit Sheth, and Forest Agostinelli.

GenPlan Workshop, AAAI 2025, 2025

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Towards Learning Foundation Models for Heuristic Functions to Solve Pathfinding Problems

Vedant Khandelwal, Amit Sheth, and Forest Agostinelli.

GenPlan Workshop, AAAI 2025, 2025

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NeuroSymbolic Knowledge-Grounded Planning and Reasoning in Artificial Intelligence Systems

Amit Sheth, Vedant Khandelwal, Kaushik Roy, Vishal Pallagani, and Megha Chakraborty.

IEEE Intelligent Systems, 2025

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AI-Augmented Search for Systematic Reviews: A Comparative Analysis

Valerie Vera*, Vedant Khandelwal*, Kaushik Roy, Ritvik Garimella, Harshul Surana, and Amit Sheth.

Proceedings of the Association for Information Science and Technology (ASIS&T), 2025

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A Neurosymbolic Fast and Slow Architecture for Graph Coloring

Vedant Khandelwal, Vishal Pallagani, Biplav Srivastava, and Francesca Rossi.

Twelfth Annual Conference on Advances in Cognitive Systems (ACS), 2025

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A Domain-Agnostic Neurosymbolic Approach for Big Social Data Analysis: Evaluating Mental Health Sentiment on Social Media during COVID-19

Vedant Khandelwal, Manas Gaur, Ugur Kursuncu, Valerie Shalin, and Amit Sheth.

IEEE International Conference on Big Data, 2024

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Specifying goals to deep neural networks with answer set programming

Forest Agostinelli, Rojina Panta, and Vedant Khandelwal.

International Conference on Automated Planning and Scheduling (ICAPS), 2024

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GEAR-Up: Generative AI and External Knowledge-based Retrieval Upgrading Scholarly Article Searches for Systematic Reviews

Kaushik Roy, Vedant Khandelwal, Harshul Surana, Valerie Vera, Amit Sheth, and Heather Heckman.

Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

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Demo Alleviate: Demonstrating Artificial Intelligence Enabled Virtual Assistance for Telehealth: The Mental Health Case

Kaushik Roy, Vedant Khandelwal, Raxit Goswami, Nathan Dolbir, Jinendra Malekar, and Amit Sheth.

Proceedings of the AAAI Conference on Artificial Intelligence (AAAI-23 Demo Track), 2023

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ALLURE: A Multi-Modal Guided Environment for Helping Children Learn to Solve a Rubik’s Cube with Automatic Solving and Interactive Explanations

Kausik Lakkaraju, Thahimum Hassan, Vedant Khandelwal, Prathamjeet Singh, Cassidy Bradley, Ronak Shah, Forest Agostinelli, Biplav Srivastava, and Dezhi Wu.

Proceedings of the AAAI Conference on Artificial Intelligence, 2022

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Explainable Pathfinding for Inscrutable Planners with Inductive Logic Programming

Forest Agostinelli, Rojina Panta, Vedant Khandelwal, Biplav Srivastava, Bharath Chandra Muppasani, Kausik Lakkaraju, and Dezhi Wu.

ICAPS 2022 Workshop on Explainable AI Planning, 2022

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“Is depression related to cannabis?”: A knowledge-infused model for entity and relation extraction with limited Supervision

Kaushik Roy, Usha Lokala, Vedant Khandelwal, and Amit Sheth.

AAAI 2021 Spring Symposium on Combining Machine Learning and Knowledge Engineering (AAAI-MAKE), 2021

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