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Hadar Szostak

1 paper hereh-index 216 citations2 works total

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most citedDeep Multi-Agent Reinforcement Learning for Decentralized Active Hypothesis Testing

1 citations · 1 across the 1 of their papers we have counts for

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1 paper

stat.ML2023★ 1 cited

Deep Multi-Agent Reinforcement Learning for Decentralized Active Hypothesis Testing

Hadar Szostak, Kobi Cohen

We consider a decentralized formulation of the active hypothesis testing (AHT) problem, where multiple agents gather noisy observations from the environment with the purpose of ide…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.