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Madhav G.

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#reinforcement learning Open access Oct 2026

Adaptive Multi-Objective Deep Reinforcement Learning for Policy-Driven Neural Architecture Search of Resource-Efficient CNNs

Neural Architecture Search (NAS) automates the process of designing neural networks but the focus is mostly on prediction accuracy without considering the model complexity and computational cost. This research study proposes a new framework called Adaptive Multi-Objective Policy-Driven Neural Architecture Search (AMO-P...

Ram Teja T., Madhav G., Sowmya Latha P. et al. · 0 citations

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