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05/12/2022
Equivariant quantum circuits for learning on weighted graphs
Variational quantum algorithms are the leading candidate for near-term a...
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06/29/2021
Multiagent Deep Reinforcement Learning: Challenges and Directions Towards Human-Like Approaches
This paper surveys the field of multiagent deep reinforcement learning. ...
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11/01/2020
Neural Network Design: Learning from Neural Architecture Search
Neural Architecture Search (NAS) aims to optimize deep neural networks' ...
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03/08/2020
Real-World Airline Crew Pairing Optimization: Customized Genetic Algorithm versus Column Generation Method
Airline crew cost is the second-largest operating cost component and its...
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04/26/2019
Efficient Computation of Expected Hypervolume Improvement Using Box Decomposition Algorithms
In the field of multi-objective optimization algorithms, multi-objective...
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09/06/2017
