Harsha Kokel

According to our database, Harsha Kokel authored at least 14 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Partially Observable Hierarchical Reinforcement Learning with AI Planning (Student Abstract).

Brandon Rozek, Junkyu Lee, Harsha Kokel, Michael Katz, Shirin Sohrabi

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Large Language Models as Planning Domain Generators (Student Abstract).

James T. Oswald, Kavitha Srinivas, Harsha Kokel, Junkyu Lee, Michael Katz, Shirin Sohrabi

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

RePReL: a unified framework for integrating relational planning and reinforcement learning for effective abstraction in discrete and continuous domains.

Harsha Kokel, Sriraam Natarajan, Balaraman Ravindran, Prasad Tadepalli

Neural Comput. Appl., August, 2023

LakeBench: Benchmarks for Data Discovery over Data Lakes.

Kavitha Srinivas, Julian Dolby, Ibrahim Abdelaziz, Oktie Hassanzadeh, Harsha Kokel, Aamod Khatiwada, Tejaswini Pedapati, Subhajit Chaudhury, Horst Samulowitz

CoRR, 2023

Action Space Reduction for Planning Domains.

Harsha Kokel, Junkyu Lee, Michael Katz, Kavitha Srinivas, Shirin Sohrabi

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022

Human-guided Collaborative Problem Solving: A Natural Language based Framework.

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

CoRR, 2022

ORIENT: Submodular Mutual Information Measures for Data Subset Selection under Distribution Shift.

Athresh Karanam, KrishnaTeja Killamsetty, Harsha Kokel, Rishabh K. Iyer

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Hybrid Deep RePReL: Integrating Relational Planning and Reinforcement Learning for Information Fusion.

Harsha Kokel, Nikhilesh Prabhakar, Balaraman Ravindran, Erik Blasch, Prasad Tadepalli, Sriraam Natarajan

Proceedings of the 25th International Conference on Information Fusion, 2022

How to Reduce Action Space for Planning Domains? (Student Abstract).

Harsha Kokel, Junkyu Lee, Michael Katz, Shirin Sohrabi, Kavitha Srinivas

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Dynamic probabilistic logic models for effective abstractions in RL.

Harsha Kokel, Arjun Manoharan, Sriraam Natarajan, Balaraman Ravindran, Prasad Tadepalli

CoRR, 2021

RePReL: Integrating Relational Planning and Reinforcement Learning for Effective Abstraction.

Harsha Kokel, Arjun Manoharan, Sriraam Natarajan, Balaraman Ravindran, Prasad Tadepalli

Proceedings of the Thirty-First International Conference on Automated Planning and Scheduling, 2021

A Probabilistic Approach to Extract Qualitative Knowledge for Early Prediction of Gestational Diabetes.

Athresh Karanam, Alexander L. Hayes, Harsha Kokel, David M. Haas, Predrag Radivojac, Sriraam Natarajan

Proceedings of the Artificial Intelligence in Medicine, 2021

2020

A Unified Framework for Knowledge Intensive Gradient Boosting: Leveraging Human Experts for Noisy Sparse Domains.

Harsha Kokel, Phillip Odom, Shuo Yang, Sriraam Natarajan

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2013

Morpheme Extraction Task at FIRE 2012-2013.

Rashmi Sankepally, Harsha Kokel, Komal Agarwal, Prasenjit Majumder

Proceedings of the 5th 2013 Forum on Information Retrieval Evaluation, 2013