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20232025
most citedNeurosymbolic Reinforcement Learning and Planning: A Survey

56 citations · 116 across the 10 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

physics.soc-ph2024

Regional Air Mobility Flight Demand Modeling in Tennessee State

Kamal Acharya, Mehul Lad, Houbing Song +1

Advanced Air Mobility (AAM), encompassing Urban Air Mobility (UAM) and Regional Air Mobility (RAM), offers innovative solutions to mitigate the issues related to ground transportat…

stat.AP2024

Demand Modeling for Advanced Air Mobility

Kamal Acharya, Mehul Lad, Liang Sun +1

In recent years, the rapid pace of urbanization has posed profound challenges globally, exacerbating environmental concerns and escalating traffic congestion in metropolitan areas.…

cs.CR2024★ 3 cited

Decoding Android Malware with a Fraction of Features: An Attention-Enhanced MLP-SVM Approach

Safayat Bin Hakim, Muhammad Adil, Kamal Acharya +1

The escalating sophistication of Android malware poses significant challenges to traditional detection methods, necessitating innovative approaches that can efficiently identify an…

cs.NE2024★ 2 cited

Improving Air Mobility for Pre-Disaster Planning with Neural Network Accelerated Genetic Algorithm

Kamal Acharya, Alvaro Velasquez, Yongxin Liu +3

Weather disaster related emergency operations pose a great challenge to air mobility in both aircraft and airport operations, especially when the impact is gradually approaching. W…

cs.CL2024★ 44 cited

A Survey on Symbolic Knowledge Distillation of Large Language Models

Kamal Acharya, Alvaro Velasquez, Houbing Herbert Song

This survey paper delves into the emerging and critical area of symbolic knowledge distillation in Large Language Models (LLMs). As LLMs like Generative Pre-trained Transformer-3 (…