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Harsha Kokel
Harsha Kokel
Ph.D Student, The University of Texas at Dallas
Verified email at utdallas.edu - 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
322021
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
182020
Graph Sparsification via Meta-Learning
G Wan, H Kokel
Deep Learning for Graphs (DLG) Workshop at AAAI, 2021
82021
Human-guided collaborative problem solving: A natural language based framework
H Kokel, M Das, R Islam, J Bonn, J Cai, S Dan, A Narayan-Chen, ...
arXiv preprint arXiv:2207.09566, 2022
42022
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
42021
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
42021
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
32022
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
32022
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
12023
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
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
Bridging the Gap Between AI Planning and Reinforcement Learning (PRL@ IJCAI 2023)
C Allen, T Gros, M Katz, H Kokel, H Palacios, S Sreedharan
International Joint Conference on Artificial Intelligence, 2023
2023
Learning Parameterized Policies for Planning Annotated RL
H Kokel, J Lee, M Katz, S Sohrabi
PRL Workshop Series {\textendash} Bridging the Gap Between AI Planning and …, 2023
2023
Beyond Data: Efficient Knowledge-guided Learning for Sparse and Structured Domains
H Kokel
2023
On Reducing Action Labels in Planning Domains
H Kokel, J Lee, M Katz, K Srinivas, S Sohrabi
ICAPS 2023 Heuristics and Search for Domain-Independent Planning Workshop, 2023
2023
How to Reduce Action Space for Planning Domains?(Student Abstract)
H Kokel, J Lee, M Katz, S Sohrabi, K Srinivas
Proceedings of the AAAI Conference on Artificial Intelligence 36 (11), 12989 …, 2022
2022
Action Space Reduction for Planning Domains
H Kokel, J Lee, M Katz, K Srinivas, S Sohrabi
2022
Learning a policy for the management of children managed with ECMO: a reinforcement learning approach
O Ashtiani, H Kokel, MA Skinner
2020
Language identification of short text in transliterated space.
H Kokel
Dhirubhai Ambani Institute of Information and Communication Technology, 2013
2013
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Articles 1–20