Harsha Kokel

34 papers A* 13A 1B 1C 1Journal 17Unranked 1
YearRankTypeTitle / Venue / Authors
2026 A* conf
QueryGym: Step-by-Step Interaction with Relational Databases.
AAAI
Haritha Ananthakrishnan, Harsha Kokel, Kelsey Sikes, Debarun Bhattacharjya, Michael Katz, Shirin Sohrabi, Kavitha Srinivas
2025 J jnl
ACPBench Hard: Unrestrained Reasoning about Action, Change, and Planning.
CoRR
Harsha Kokel, Michael Katz, Kavitha Srinivas, Shirin Sohrabi
2025 A* conf
ACPBench: Reasoning About Action, Change, and Planning.
AAAI
Harsha Kokel, Michael Katz, Kavitha Srinivas, Shirin Sohrabi
2025 A* conf
Automating Thought of Search: A Journey Towards Soundness and Completeness (Student Abstract).
AAAI
Daniel Cao, Michael Katz, Harsha Kokel, Kavitha Srinivas, Shirin Sohrabi
2025 J jnl
Can Cross Encoders Produce Useful Sentence Embeddings?
CoRR
Haritha Ananthakrishnan, Julian Dolby, Harsha Kokel, Horst Samulowitz, Kavitha Srinivas
2025 A conf
Combining Planning and Reinforcement Learning for Solving Relational Multiagent Domains.
AAMAS
Nikhilesh Prabhakar, Ranveer Singh, Harsha Kokel, Sriraam Natarajan, Prasad Tadepalli
2025 J jnl
Combining Planning and Reinforcement Learning for Solving Relational Multiagent Domains.
CoRR
Nikhilesh Prabhakar, Ranveer Singh, Harsha Kokel, Sriraam Natarajan, Prasad Tadepalli
2025 J jnl
Evaluating Joinable Column Discovery Approaches for Context-Aware Search.
CoRR
Harsha Kokel, Aamod Khatiwada, Tejaswini Pedapati, Haritha Ananthakrishnan, Oktie Hassanzadeh, Horst Samulowitz, Kavitha Srinivas
2025 J jnl
Make Planning Research Rigorous Again!
CoRR
Michael Katz, Harsha Kokel, Christian Muise, Shirin Sohrabi, Sarath Sreedharan
2025 J jnl
QueryGym: Step-by-Step Interaction with Relational Databases.
CoRR
Haritha Ananthakrishnan, Harsha Kokel, Kelsey Sikes, Debarun Bhattacharjya, Michael Katz, Shirin Sohrabi, Kavitha Srinivas
2025 J jnl
Seemingly Simple Planning Problems are Computationally Challenging: The Countdown Game.
CoRR
Michael Katz, Harsha Kokel, Sarath Sreedharan
2025 J jnl
TOPJoin: A Context-Aware Multi-Criteria Approach for Joinable Column Search.
CoRR
Harsha Kokel, Aamod Khatiwada, Tejaswini Pedapati, Haritha Ananthakrishnan, Oktie Hassanzadeh, Horst Samulowitz, Kavitha Srinivas
2025 A* conf
TabSketchFM: Sketch-Based Tabular Representation Learning for Data Discovery Over Data Lakes.
ICDE
Aamod Khatiwada, Harsha Kokel, Ibrahim Abdelaziz, Subhajit Chaudhury, Julian Dolby, Oktie Hassanzadeh, Zhenhan Huang, Tejaswini Pedapati, Horst Samulowitz, Kavitha Srinivas
2024 J jnl
ACPBench: Reasoning about Action, Change, and Planning.
CoRR
Harsha Kokel, Michael Katz, Kavitha Srinivas, Shirin Sohrabi
2024 J jnl
Automating Thought of Search: A Journey Towards Soundness and Completeness.
CoRR
Daniel Cao, Michael Katz, Harsha Kokel, Kavitha Srinivas, Shirin Sohrabi
2024 A* conf
Large Language Models as Planning Domain Generators (Student Abstract).
AAAI
James T. Oswald, Kavitha Srinivas, Harsha Kokel, Junkyu Lee, Michael Katz, Shirin Sohrabi
2024 A* conf
Large Language Models as Planning Domain Generators.
ICAPS
James T. Oswald, Kavitha Srinivas, Harsha Kokel, Junkyu Lee, Michael Katz, Shirin Sohrabi
2024 J jnl
Large Language Models as Planning Domain Generators.
CoRR
James T. Oswald, Kavitha Srinivas, Harsha Kokel, Junkyu Lee, Michael Katz, Shirin Sohrabi
2024 A* conf
Partially Observable Hierarchical Reinforcement Learning with AI Planning (Student Abstract).
AAAI
Brandon Rozek, Junkyu Lee, Harsha Kokel, Michael Katz, Shirin Sohrabi
2024 J jnl
Planning with Language Models Through The Lens of Efficiency.
CoRR
Michael Katz, Harsha Kokel, Kavitha Srinivas, Shirin Sohrabi
2024 J jnl
TabSketchFM: Sketch-based Tabular Representation Learning for Data Discovery over Data Lakes.
CoRR
Aamod Khatiwada, Harsha Kokel, Ibrahim Abdelaziz, Subhajit Chaudhury, Julian Dolby, Oktie Hassanzadeh, Zhenhan Huang, Tejaswini Pedapati, Horst Samulowitz, Kavitha Srinivas
2024 A* conf
Thought of Search: Planning with Language Models Through The Lens of Efficiency.
NeurIPS
Michael Katz, Harsha Kokel, Kavitha Srinivas, Shirin Sohrabi
2023 A* conf
Action Space Reduction for Planning Domains.
IJCAI
Harsha Kokel, Junkyu Lee, Michael Katz, Kavitha Srinivas, Shirin Sohrabi
2023 J jnl
LakeBench: Benchmarks for Data Discovery over Data Lakes.
CoRR
Kavitha Srinivas, Julian Dolby, Ibrahim Abdelaziz, Oktie Hassanzadeh, Harsha Kokel, Aamod Khatiwada, Tejaswini Pedapati, Subhajit Chaudhury, Horst Samulowitz
2023 J jnl
RePReL: a unified framework for integrating relational planning and reinforcement learning for effective abstraction in discrete and continuous domains.
Neural Comput. Appl.
Harsha Kokel, Sriraam Natarajan, Balaraman Ravindran, Prasad Tadepalli
2022 A* conf
How to Reduce Action Space for Planning Domains? (Student Abstract).
AAAI
Harsha Kokel, Junkyu Lee, Michael Katz, Shirin Sohrabi, Kavitha Srinivas
2022 J jnl
Human-guided Collaborative Problem Solving: A Natural Language based Framework.
CoRR
Harsha Kokel, Mayukh Das, Md. Rakibul Islam, Julia Bonn, Jon Z. Cai, Soham Dan, Anjali Narayan-Chen, Prashant Jayannavar, Janardhan Rao Doppa, Julia Hockenmaier, Sriraam Natarajan, Martha Palmer, Dan Roth
2022 C conf
Hybrid Deep RePReL: Integrating Relational Planning and Reinforcement Learning for Information Fusion.
FUSION
Harsha Kokel, Nikhilesh Prabhakar, Balaraman Ravindran, Erik Blasch, Prasad Tadepalli, Sriraam Natarajan
2022 A* conf
ORIENT: Submodular Mutual Information Measures for Data Subset Selection under Distribution Shift.
NeurIPS
Athresh Karanam, Krishnateja Killamsetty, Harsha Kokel, Rishabh K. Iyer
2021 B conf
A Probabilistic Approach to Extract Qualitative Knowledge for Early Prediction of Gestational Diabetes.
AIME
Athresh Karanam, Alexander L. Hayes, Harsha Kokel, David M. Haas, Predrag Radivojac, Sriraam Natarajan
2021 J jnl
Dynamic probabilistic logic models for effective abstractions in RL.
CoRR
Harsha Kokel, Arjun Manoharan, Sriraam Natarajan, Balaraman Ravindran, Prasad Tadepalli
2021 A* conf
RePReL: Integrating Relational Planning and Reinforcement Learning for Effective Abstraction.
ICAPS
Harsha Kokel, Arjun Manoharan, Sriraam Natarajan, Balaraman Ravindran, Prasad Tadepalli
2020 A* conf
A Unified Framework for Knowledge Intensive Gradient Boosting: Leveraging Human Experts for Noisy Sparse Domains.
AAAI
Harsha Kokel, Phillip Odom, Shuo Yang, Sriraam Natarajan
2013 — conf
Morpheme Extraction Task at FIRE 2012-2013.
FIRE
Rashmi Sankepally, Harsha Kokel, Komal Agarwal, Prasenjit Majumder