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algorithm python » algorithm within (Expand Search), algorithms within (Expand Search), algorithm both (Expand Search)
python function » protein function (Expand Search)
algorithm also » algorithm allows (Expand Search), algorithm a (Expand Search), algorithm ai (Expand Search)
flow function » from function (Expand Search), low functional (Expand Search), loss function (Expand Search)
also function » also functions (Expand Search), a function (Expand Search), loss function (Expand Search)
algorithm python » algorithm within (Expand Search), algorithms within (Expand Search), algorithm both (Expand Search)
python function » protein function (Expand Search)
algorithm also » algorithm allows (Expand Search), algorithm a (Expand Search), algorithm ai (Expand Search)
flow function » from function (Expand Search), low functional (Expand Search), loss function (Expand Search)
also function » also functions (Expand Search), a function (Expand Search), loss function (Expand Search)
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Pseudo-code of DMDDPG algorithm.
Published 2025“…The simulation results indicate that the proposed algorithm, which models the first three joints and the last three joints of the robotic arm as multi-agents, demonstrates not only enhanced adaptability but also faster and more stable convergence.…”
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Iterative convergence curves of each algorithm for the CEC2019 benchmark functions.
Published 2023Subjects: -
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Flow chart of the search process.
Published 2025“…Compared to traditional algorithms, machine learning algorithms are more effective at capturing nonlinear relationships and developing more accurate diagnostic and predictive models.…”
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Completion times for different algorithms.
Published 2025“…This paper first analyzes the H-beam processing flow and appropriately simplifies it, develops a reinforcement learning environment for multi-agent scheduling, and applies the rMAPPO algorithm to make scheduling decisions. …”
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The average cumulative reward of algorithms.
Published 2025“…This paper first analyzes the H-beam processing flow and appropriately simplifies it, develops a reinforcement learning environment for multi-agent scheduling, and applies the rMAPPO algorithm to make scheduling decisions. …”
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