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Our open‐source evaluation framework enables rigorous benchmarking of real‐time algorithims. We showcase its functionality through a sodium‐ion battery case study, highlighting key strenghts and limitations for SOC diagnostics. Despite the abundance of battery state estimation algorithms in the BMS literature, their applicability to emerging cell ...
Katharina Lilith Quade +6 more
wiley +1 more source
Entanglement-assisted variational algorithm for discrete optimization problems. [PDF]
Fioroni L, Savona V.
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LLMs augmented hierarchical reinforcement learning with action primitives for long-horizon manipulation tasks. [PDF]
Zhang N, Zhao Y, Yang M, Dai S.
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DT-HRL: Mastering Long-Sequence Manipulation with Reimagined Hierarchical Reinforcement Learning. [PDF]
Zhang J +4 more
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AQEA-QAS: An Adaptive Quantum Evolutionary Algorithm for Quantum Architecture Search. [PDF]
Li Y, Zhang J, Zhou R, Qu Y, Xu R.
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Finding Key Nodes in Complex Networks Through Quantum Deep Reinforcement Learning. [PDF]
Xiong J, Ren XL, Lü L.
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Parameterized Complexity Theory
Texts in Theoretical Computer Science. An EATCS Series, 2006AbstractThis chapter offers a closer look at parameterized computational complexity theory. Central concepts in this context are parameterized problems, parameterized reducibility, parameterized complexity classes, W[1], complete problems, and W[1]-hardness proofs.
J. Flum, Martin Grohe
semanticscholar +3 more sources
The Parameterized Complexity of Coordinated Motion Planning
International Symposium on Computational Geometry, 2023In Coordinated Motion Planning (CMP), we are given a rectangular-grid on which $k$ robots occupy $k$ distinct starting gridpoints and need to reach $k$ distinct destination gridpoints.
E. Eiben, R. Ganian, Iyad A. Kanj
semanticscholar +1 more source
Fundamentals of Parameterized Complexity
Texts in Computer Science, 2013R. Downey, M. Fellows
semanticscholar +2 more sources

