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Harsha Kokel
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2020 – today
- 2024
- [c11]James T. Oswald
, Kavitha Srinivas, Harsha Kokel, Junkyu Lee, Michael Katz, Shirin Sohrabi:
Large Language Models as Planning Domain Generators (Student Abstract). AAAI 2024: 23604-23605 - [c10]Brandon Rozek, Junkyu Lee, Harsha Kokel, Michael Katz, Shirin Sohrabi:
Partially Observable Hierarchical Reinforcement Learning with AI Planning (Student Abstract). AAAI 2024: 23635-23636 - [c9]James T. Oswald, Kavitha Srinivas, Harsha Kokel, Junkyu Lee, Michael Katz, Shirin Sohrabi:
Large Language Models as Planning Domain Generators. ICAPS 2024: 423-431 - [i8]Michael Katz, Harsha Kokel, Kavitha Srinivas, Shirin Sohrabi:
Planning with Language Models Through The Lens of Efficiency. CoRR abs/2404.11833 (2024) - [i7]James T. Oswald
Large Language Models as Planning Domain Generators. CoRR abs/2405.06650 (2024) - [i6]Aamod Khatiwada, Harsha Kokel, Ibrahim Abdelaziz, Subhajit Chaudhury, Julian Dolby, Oktie Hassanzadeh
TabSketchFM: Sketch-based Tabular Representation Learning for Data Discovery over Data Lakes. CoRR abs/2407.01619 (2024) - [i5]Daniel Cao, Michael Katz, Harsha Kokel, Kavitha Srinivas, Shirin Sohrabi:
Automating Thought of Search: A Journey Towards Soundness and Completeness. CoRR abs/2408.11326 (2024) - [i4]Harsha Kokel, Michael Katz, Kavitha Srinivas, Shirin Sohrabi:
ACPBench: Reasoning about Action, Change, and Planning. CoRR abs/2410.05669 (2024) - 2023
- [j1]Harsha Kokel
RePReL: a unified framework for integrating relational planning and reinforcement learning for effective abstraction in discrete and continuous domains. Neural Comput. Appl. 35(23): 16877-16892 (2023) - [c8]Harsha Kokel, Junkyu Lee, Michael Katz, Kavitha Srinivas, Shirin Sohrabi:
Action Space Reduction for Planning Domains. IJCAI 2023: 5394-5401 - [i3]Kavitha Srinivas, Julian Dolby, Ibrahim Abdelaziz, Oktie Hassanzadeh, Harsha Kokel, Aamod Khatiwada, Tejaswini Pedapati, Subhajit Chaudhury, Horst Samulowitz:
LakeBench: Benchmarks for Data Discovery over Data Lakes. CoRR abs/2307.04217 (2023) - 2022
- [c7]Harsha Kokel
How to Reduce Action Space for Planning Domains? (Student Abstract). AAAI 2022: 12989-12990 - [c6]Harsha Kokel, Nikhilesh Prabhakar, Balaraman Ravindran, Erik Blasch, Prasad Tadepalli, Sriraam Natarajan:
Hybrid Deep RePReL: Integrating Relational Planning and Reinforcement Learning for Information Fusion. FUSION 2022: 1-8 - [c5]Athresh Karanam, KrishnaTeja Killamsetty, Harsha Kokel, Rishabh K. Iyer:
ORIENT: Submodular Mutual Information Measures for Data Subset Selection under Distribution Shift. NeurIPS 2022 - [i2]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:
Human-guided Collaborative Problem Solving: A Natural Language based Framework. CoRR abs/2207.09566 (2022) - 2021
- [c4]Athresh Karanam, Alexander L. Hayes, Harsha Kokel
A Probabilistic Approach to Extract Qualitative Knowledge for Early Prediction of Gestational Diabetes. AIME 2021: 497-502 - [c3]Harsha Kokel
RePReL: Integrating Relational Planning and Reinforcement Learning for Effective Abstraction. ICAPS 2021: 533-541 - [i1]Harsha Kokel, Arjun Manoharan, Sriraam Natarajan, Balaraman Ravindran, Prasad Tadepalli:
Dynamic probabilistic logic models for effective abstractions in RL. CoRR abs/2110.08318 (2021) - 2020
- [c2]Harsha Kokel
A Unified Framework for Knowledge Intensive Gradient Boosting: Leveraging Human Experts for Noisy Sparse Domains. AAAI 2020: 4460-4468
2010 – 2019
- 2013
- [c1]Rashmi Sankepally, Harsha Kokel
Morpheme Extraction Task at FIRE 2012-2013. FIRE 2013: 5:1-5:4
Coauthor Index
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