Harsha Kokel

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 17

Top Topics

Planning Domains

Subset Selection

Reinforcement Learning

Top Venues

Publications

James T. Oswald, Kavitha Srinivas, Harsha Kokel, Junkyu Lee, Michael Katz, Shirin Sohrabi
Large Language Models as Planning Domain Generators. CoRR (2024)
James T. Oswald, Kavitha Srinivas, Harsha Kokel, Junkyu Lee, Michael Katz, Shirin Sohrabi
Large Language Models as Planning Domain Generators (Student Abstract). AAAI (2024)
Brandon Rozek, Junkyu Lee, Harsha Kokel, Michael Katz, Shirin Sohrabi
Partially Observable Hierarchical Reinforcement Learning with AI Planning (Student Abstract). AAAI (2024)
James T. Oswald, Kavitha Srinivas, Harsha Kokel, Junkyu Lee, Michael Katz, Shirin Sohrabi
Large Language Models as Planning Domain Generators. ICAPS (2024)
Michael Katz, Harsha Kokel, Kavitha Srinivas, Shirin Sohrabi
Planning with Language Models Through The Lens of Efficiency. CoRR (2024)
Aamod Khatiwada, Harsha Kokel, Ibrahim Abdelaziz, Subhajit Chaudhury, Julian Dolby, Oktie Hassanzadeh, Zhenhan Huang, Tejaswini Pedapati, Horst Samulowitz, Kavitha Srinivas
TabSketchFM: Sketch-based Tabular Representation Learning for Data Discovery over Data Lakes. CoRR (2024)
Harsha Kokel, Sriraam Natarajan, Balaraman Ravindran, Prasad Tadepalli
RePReL: a unified framework for integrating relational planning and reinforcement learning for effective abstraction in discrete and continuous domains. Neural Comput. Appl. 35 (23) (2023)
Harsha Kokel, Junkyu Lee, Michael Katz, Kavitha Srinivas, Shirin Sohrabi
Action Space Reduction for Planning Domains. IJCAI (2023)
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 (2023)
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)
Athresh Karanam, KrishnaTeja Killamsetty, Harsha Kokel, Rishabh K. Iyer
ORIENT: Submodular Mutual Information Measures for Data Subset Selection under Distribution Shift. NeurIPS (2022)
Harsha Kokel, Junkyu Lee, Michael Katz, Shirin Sohrabi, Kavitha Srinivas
How to Reduce Action Space for Planning Domains? (Student Abstract). AAAI (2022)
Harsha Kokel, Mayukh Das, Md Rakibul Islam, Julia Bonn, Jon 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 (2022)
Athresh Karanam, Alexander L. Hayes, Harsha Kokel, David M. Haas, Predrag Radivojac, Sriraam Natarajan
A Probabilistic Approach to Extract Qualitative Knowledge for Early Prediction of Gestational Diabetes. AIME (2021)
Harsha Kokel, Arjun Manoharan, Sriraam Natarajan, Balaraman Ravindran, Prasad Tadepalli
RePReL: Integrating Relational Planning and Reinforcement Learning for Effective Abstraction. ICAPS (2021)
Harsha Kokel, Arjun Manoharan, Sriraam Natarajan, Balaraman Ravindran, Prasad Tadepalli
Dynamic probabilistic logic models for effective abstractions in RL. CoRR (2021)
Harsha Kokel, Phillip Odom, Shuo Yang, Sriraam Natarajan
A Unified Framework for Knowledge Intensive Gradient Boosting: Leveraging Human Experts for Noisy Sparse Domains. AAAI (2020)
Rashmi Sankepally, Harsha Kokel, Komal Agarwal, Prasenjit Majumder
Morpheme Extraction Task at FIRE 2012-2013. FIRE (2013)