Harsha Kokel
10 papers · 2020–2026 · 3 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (22) π£ Hot Topic Early Bird π Conference Polyglot Β· Bronze π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze
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The Questioner
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Unstoppable Β· Bronze
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Century Club Β· Bronze
Venues
Top co-authors
Research topics
Artificial Intelligence
(8)
Core AI
(8)
Machine Learning
(5)
Reinforcement Learning
(4)
Learning Types
(4)
Applications
(2)
Methods
(2)
Deep Learning
(1)
Mathematics & Optimization
(1)
Natural Language Processing
(1)
Application Areas
(1)
Core Methods
(1)
Models
(1)
Optimization
(1)
Optimization & Theory
(1)
Keywords
large language model
(4)
planning domain
(3)
reinforcement learning
(2)
classical planning
(2)
search algorithm
(2)
sample complexity
(2)
ai planning
(2)
knowledge distillation
(1)
data subset selection
(1)
automated planning
(1)
machine learning
(1)
distribution shift
(1)
subset selection
(1)
domain knowledge
(1)
gradient boosting
(1)
partially observable markov decision process
(1)
sequential decision making
(1)
reasoning capability
(1)
action space
(1)
data efficiency
(1)
Papers
QueryGym: Step-by-Step Interaction with Relational Databases
AAAI 2026
ACPBench: Reasoning About Action, Change, and Planning
AAAI 2025
Automating Thought of Search: A Journey Towards Soundness and Completeness (Student Abstract)
AAAI 2025
Large Language Models as Planning Domain Generators (Student Abstract)
AAAI 2024
Partially Observable Hierarchical Reinforcement Learning with AI Planning (Student Abstract)
AAAI 2024
Thought of Search: Planning with Language Models Through The Lens of Efficiency
NeurIPS 2024
Action Space Reduction for Planning Domains
IJCAI 2023
How to Reduce Action Space for Planning Domains? (Student Abstract)
AAAI 2022
ORIENT: Submodular Mutual Information Measures for Data Subset Selection under Distribution Shift
NeurIPS 2022
A Unified Framework for Knowledge Intensive Gradient Boosting: Leveraging Human Experts for Noisy Sparse Domains
AAAI 2020