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Author

H. Astsatryan

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Open access Oct 2026

Adaptive storage optimization for deep learning workloads in converged HPC-cloud environments: a reinforcement learning approach

A deep reinforcement learning framework is introduced that combines Proximal Policy Optimization and Soft Actor-Critic with a Transformer-based state encoder to predict workload phase transitions rather than merely respond to them and indicates that temporally aware storage control can improve the efficiency of distrib...

H. Baghdasaryan, H. Astsatryan · 0 citations
Open access Oct 2026

Outcome-as-a-service for multi-objective Dask-based Earth Observation processing

This paper presents an outcome-as-a-service framework for Dask-based EO processing that jointly optimises all four objectives, and matches a biggest-tier oracle on execution time, cost, and energy while running up to roughly twice as fast as naive small-cluster and default provisioning.

Arthur Lalayan, Grégory Giuliani, H. Astsatryan · 0 citations

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