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most citedCellular-Connected UAVs over 5G: Deep Reinforcement Learning for Interference Management

464 citations

Showing cs.AIShow all

20 papers · 1 filter

cs.AI2025★ 9 cited

Scalability of Reinforcement Learning Methods for Dispatching in Semiconductor Frontend Fabs: A Comparison of Open-Source Models with Real Industry Datasets

Patrick Stöckermann, Henning Südfeld, Alessandro Immordino +7

Benchmark datasets are crucial for evaluating approaches to scheduling or dispatching in the semiconductor industry during the development and deployment phases. However, commonly…

cs.AI2022★ 7 cited

Specifying and Exploiting Non-Monotonic Domain-Specific Declarative Heuristics in Answer Set Programming

Richard Comploi-Taupe, Gerhard Friedrich, Konstantin Schekotihin +1

Domain-specific heuristics are an essential technique for solving combinatorial problems efficiently. Current approaches to integrate domain-specific heuristics with Answer Set Pro…

cs.AI2022★ 8 cited

How should I compute my candidates? A taxonomy and classification of diagnosis computation algorithms

Patrick Rodler

This work proposes a taxonomy for diagnosis computation methods which allows their standardized assessment, classification and comparison. The aim is to (i) give researchers and pr…

cs.AI2022

Decomposition Strategies and Multi-shot ASP Solving for Job-shop Scheduling

Mohammed M. S. El-Kholany, Martin Gebser, Konstantin Schekotihin

The Job-shop Scheduling Problem (JSP) is a well-known and challenging combinatorial optimization problem in which tasks sharing a machine are to be arranged in a sequence such that…

cs.AI2020★ 13 cited

RBF-HS: Recursive Best-First Hitting Set Search

Patrick Rodler

Various model-based diagnosis scenarios require the computation of most preferred fault explanations. Existing algorithms that are sound (i.e., output only actual fault explanation…

cs.AI2019★ 135 cited

ASP-Core-2 Input Language Format

Francesco Calimeri, Wolfgang Faber, Martin Gebser +7

Standardization of solver input languages has been a main driver for the growth of several areas within knowledge representation and reasoning, fostering the exploitation in actual…