Harsha Kokel

发表

Action Space Reduction for Planning Domains

Michael Katz, Shirin Sohrabi, Kavitha Srinivas, 2022 .

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

Balaraman Ravindran, Prasad Tadepalli, Sriraam Natarajan, 2022, 2022 25th International Conference on Information Fusion (FUSION).

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

Michael Katz, Shirin Sohrabi, Kavitha Srinivas, 2022, AAAI.

Lara – Human-guided collaborative problem solver: Effective integration of learning, reasoning and communication

Janardhan Rao Doppa, D. Roth, J. Hockenmaier, 2022 .

Dynamic probabilistic logic models for effective abstractions in RL pdf

Sriraam Natarajan, Balaraman Ravindran, Prasad Tadepalli, 2021, ArXiv.

RePReL: Integrating Relational Planning and Reinforcement Learning for Effective Abstraction

Sriraam Natarajan, Balaraman Ravindran, Prasad Tadepalli, 2021, ICAPS.

Graph Sparsification via Meta-Learning

Harsha Kokel, Guihong Wan, 2020 .

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

Sriraam Natarajan, Shuo Yang, Phillip Odom, 2020, AAAI.

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

Rishabh K. Iyer, Athresh Karanam, Krishnateja Killamsetty, 2022, NeurIPS.

Morpheme Extraction Task at FIRE 2012--2013

Prasenjit Majumder, Rashmi Sankepally, Komal Agarwal, 2013, FIRE.

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

Sriraam Natarajan, Predrag Radivojac, Alexander L. Hayes, 2021, AIME.

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

Balaraman Ravindran, Sriraam Natarajan, Harsha Kokel, 2022, Neural Computing and Applications.