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Harsha Kokel
Harsha Kokel
Research Scientist, IBM Research
Verified email at ibm.com - Homepage
Title
Cited by
Cited by
Year
RePReL: Integrating Relational Planning and Reinforcement Learning for Effective Abstraction
H Kokel, A Manoharan, S Natarajan, B Ravindran, P Tadepalli
Proceedings of the International Conference on Automated Planning and …, 2021
522021
A Unified Framework for Knowledge Intensive Gradient Boosting: Leveraging Human Experts for Noisy Sparse Domains
H Kokel, P Odom, S Yang, S Natarajan
Proceedings of the AAAI Conference on Artificial Intelligence (AAAI) 34 (04 …, 2020
262020
Graph Sparsification via Meta-Learning
G Wan, H Kokel
Deep Learning for Graphs (DLG) Workshop at AAAI, 2021
172021
LakeBench: Benchmarks for Data Discovery over Data Lakes
K Srinivas, J Dolby, I Abdelaziz, O Hassanzadeh, H Kokel, A Khatiwada, ...
arXiv preprint arXiv:2307.04217, 2023
132023
Large Language Models as Planning Domain Generators
J Oswald, K Srinivas, H Kokel, J Lee, M Katz, S Sohrabi
Proceedings of the International Conference on Automated Planning and …, 2024
112024
Orient: Submodular mutual information measures for data subset selection under distribution shift
A Karanam, K Killamsetty, H Kokel, R Iyer
Advances in neural information processing systems 35, 31796-31808, 2022
82022
Hybrid deep reprel: Integrating relational planning and reinforcement learning for information fusion
H Kokel, N Prabhakar, B Ravindran, E Blasch, P Tadepalli, S Natarajan
2022 25th International Conference on Information Fusion (FUSION), 1-8, 2022
62022
Lara–Human-guided collaborative problem solver: Effective integration of learning, reasoning and communication
H Kokel, M Das, R Islam, J Bonn, S Dan, JR Doppa, S Natarajan, ...
6*
RePReL: a unified framework for integrating relational planning and reinforcement learning for effective abstraction in discrete and continuous domains
H Kokel, S Natarajan, B Ravindran, P Tadepalli
Neural Computing and Applications 35 (23), 16877-16892, 2023
52023
Dynamic probabilistic logic models for effective abstractions in RL
H Kokel, A Manoharan, S Natarajan, B Ravindran, P Tadepalli
arXiv preprint arXiv:2110.08318, 2021
52021
A probabilistic approach to extract qualitative knowledge for early prediction of gestational diabetes
A Karanam, AL Hayes, H Kokel, DM Haas, P Radivojac, S Natarajan
Artificial Intelligence in Medicine: 19th International Conference on …, 2021
52021
Thought of Search: Planning with Language Models Through The Lens of Efficiency
M Katz, H Kokel, K Srinivas, S Sohrabi
The First Workshop on System-2 Reasoning at Scale, NeurIPS'24, 2024
3*2024
Large Language Models as Planning Domain Generators (Student Abstract)
J Oswald, K Srinivas, H Kokel, J Lee, M Katz, S Sohrabi
Proceedings of the AAAI Conference on Artificial Intelligence 38 (21), 23604 …, 2024
22024
Automating Thought of Search: A Journey Towards Soundness and Completeness
D Cao, M Katz, H Kokel, K Srinivas, S Sohrabi
arXiv preprint arXiv:2408.11326, 2024
12024
TabSketchFM: Sketch-based Tabular Representation Learning for Data Discovery over Data Lakes
A Khatiwada, H Kokel, I Abdelaziz, S Chaudhury, J Dolby, ...
arXiv preprint arXiv:2407.01619, 2024
12024
Granite 3.0 Language Models
IBM Granite Team
12024
Action Space Reduction for Planning Domains.
H Kokel, J Lee, M Katz, K Srinivas, S Sohrabi
IJCAI, 5394-5401, 2023
12023
Deep RePReL--Combining Planning and Deep RL for acting in relational domains
H Kokel, A Manoharan, S Natarajan, B Ravindran, P Tadepalli
Deep RL Workshop NeurIPS 2021, 2021
12021
Morpheme extraction task at FIRE 2012--2013
R Sankepally, H Kokel, K Agarwal, P Majumder
Proceedings of the 4th and 5th Annual Meetings of the Forum for Information …, 2013
12013
Reinforcement learning using lifted action models
H Kokel, M Katz, J Lee, SS Araghi
US Patent App. 18/313,310, 2024
2024
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