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    Developing Heuristics for Resource Allocation and Utilization in Systems Design: A Hierarchical Reinforcement Learning Approach 

    Source: Journal of Mechanical Design:;2025:;volume( 147 ):;issue: 006:;page 61706-1
    Author(s): Gadi, Vikranth S.; Szajnfarber, Zoe; Panchal, Jitesh H.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Systems design involves decomposing a system into interconnected subsystems and allocating resources to teams responsible for designing each subsystem. The outcomes of the process depend on how well limited resources are ...
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    Heuristics for Solver-Aware Systems Architecting: A Reinforcement Learning Approach 

    Source: Journal of Mechanical Design:;2024:;volume( 147 ):;issue: 002:;page 21704-1
    Author(s): Gadi, Vikranth S.; Topcu, Taylan G.; Szajnfarber, Zoe; Panchal, Jitesh H.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The crowdsourcing literature has shown that domain experts are not always the best solvers for complex system design problems. Under certain conditions, novices and specialists in adjacent domains can provide novel solutions ...
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    DSpace software copyright © 2002-2015  DuraSpace
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