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Reinforcement Learning Enables Resource Partitioning in Foraging Bats
Aya Goldshtein
, Michal Handel
, Ofri Eitan
, Afrine Bonstein
, Talia Shaler
, Simon Collet
, Stefan Greif
, Rodrigo A. Medellín
, Yuval Emek
,
Amos Korman
, Yossi Yovel
Research output
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Article
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peer-review
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Keyphrases
Reinforcement Learning
100%
Food Sources
100%
Resource Partitioning
100%
Cactus
75%
Nectar
50%
Lesser Long-nosed Bat
50%
Social Communication
25%
Video Recording
25%
Foraging Task
25%
Late Spring
25%
Data Simulation
25%
Reinforcement Learning Algorithm
25%
Learning Styles
25%
Non-overlapping
25%
Aerial Imaging
25%
Natural Food
25%
Foraging Territories
25%
Traplining
25%
Foraging Ground
25%
Saguaro Cactus
25%
Minimal Memory
25%
Sonoran Desert
25%
Win-stay Lose-switch
25%
Bat Roosts
25%
GPS Devices
25%
Leptonycteris Yerbabuenae
25%
Evolutionary Simulation
25%
Aerial Video
25%
Lactating Women
25%
Roost
25%
Switching Strategy
25%
Agricultural and Biological Sciences
Spring
100%
Anthesis
100%
Foraging
100%
Lactating Females
100%
Natural Food
100%
Saguaro
100%
Pups
100%
Global Positioning System
100%
Pollen
100%