Kokel, Harsha

13 publications

AAAI 2025 ACPBench: Reasoning About Action, Change, and Planning Harsha Kokel, Michael Katz, Kavitha Srinivas, Shirin Sohrabi

AAAI 2025 Automating Thought of Search: A Journey Towards Soundness and Completeness (Student Abstract) Daniel Cao, Michael Katz, Harsha Kokel, Kavitha Srinivas, Shirin Sohrabi

NeurIPSW 2024 Automating Thought of Search: A Journey Towards Soundness and Completeness Daniel Yiming Cao, Michael Katz, Harsha Kokel, Kavitha Srinivas, Shirin Sohrabi

AAAI 2024 Large Language Models as Planning Domain Generators (Student Abstract) James T. Oswald, Kavitha Srinivas, Harsha Kokel, Junkyu Lee, Michael Katz, Shirin Sohrabi

AAAI 2024 Partially Observable Hierarchical Reinforcement Learning with AI Planning (Student Abstract) Brandon Rozek, Junkyu Lee, Harsha Kokel, Michael Katz, Shirin Sohrabi

NeurIPSW 2024 TabSketchFM: Sketch-Based Tabular Representation Learning for Data Discovery over Data Lakes Aamod Khatiwada, Harsha Kokel, Ibrahim Abdelaziz, Subhajit Chaudhury, Julian Dolby, Oktie Hassanzadeh, Zhenhan Huang, Tejaswini Pedapati, Horst Samulowitz, Kavitha Srinivas

NeurIPS 2024 Thought of Search: Planning with Language Models Through the Lens of Efficiency Michael Katz, Harsha Kokel, Kavitha Srinivas, Shirin Sohrabi

NeurIPSW 2024 Thought of Search: Planning with Language Models Through the Lens of Efficiency Michael Katz, Harsha Kokel, Kavitha Srinivas, Shirin Sohrabi

IJCAI 2023 Action Space Reduction for Planning Domains Harsha Kokel, Junkyu Lee, Michael Katz, Kavitha Srinivas, Shirin Sohrabi

AAAI 2022 How to Reduce Action Space for Planning Domains? (Student Abstract) Harsha Kokel, Junkyu Lee, Michael Katz, Shirin Sohrabi, Kavitha Srinivas

NeurIPS 2022 ORIENT: Submodular Mutual Information Measures for Data Subset Selection Under Distribution Shift Athresh Karanam, Krishnateja Killamsetty, Harsha Kokel, Rishabh Iyer

NeurIPSW 2021 Deep RePReL--Combining Planning and Deep RL for Acting in Relational Domains Harsha Kokel, Arjun Manoharan, Sriraam Natarajan, Balaraman Ravindran, Prasad Tadepalli

AAAI 2020 A Unified Framework for Knowledge Intensive Gradient Boosting: Leveraging Human Experts for Noisy Sparse Domains Harsha Kokel, Phillip Odom, Shuo Yang, Sriraam Natarajan