Reinforcement Learning Enables Resource Partitioning in Foraging Bats-Reference-Cited by-同舟云学术

Reinforcement Learning Enables Resource Partitioning in Foraging Bats

Published:2020-10 Issue:20 Volume:30 Page:4096-4102.e6
ISSN:0960-9822
Container-title:Current Biology
language:en
Short-container-title:Current Biology

Author:

Goldshtein Aya^ORCID,Handel Michal^ORCID,Eitan Ofri^ORCID,Bonstein Afrine,Shaler Talia,Collet Simon,Greif Stefan,Medellín Rodrigo A.,Emek Yuval^ORCID,Korman Amos^ORCID,Yovel Yossi

Funder

Lev-Zion Scholarship for Outstanding Ph.D. Students from Peripheral Areas

The Minerva Center for Movement Ecology

Mexican Agency for International Development Cooperation

European Research Council

Israeli Science Foundation

Publisher

Elsevier BV

Subject

General Agricultural and Biological Sciences,General Biochemistry, Genetics and Molecular Biology

Reference39 articles.

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3. Basal rates of metabolism of nectarivorous bats (Phyllostomidae) from a semiarid thorn forest in Venezuela;Arends;J. Mammal.,1995

4. Flight speeds and mechanical power outputs of the nectar-feedint bat, Leptonycteris curasoae (Phyllostomidae: Glossophaginae);Sahley;J. Mammal.,1993

5. Follow me: foraging distances of Leptonycteris yerbabuenae (Chiroptera: Phyllostomidae) in Sonora determined by fluorescent powder;Medellin;J. Mammal.,2018

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