Search Results for author: Andrea López-Incera

Found 3 papers, 1 papers with code

Optimal foraging strategies can be learned

1 code implementation10 Mar 2023 Gorka Muñoz-Gil, Andrea López-Incera, Lukas J. Fiderer, Hans J. Briegel

Recognizing the interconnected nature of these challenges, this work addresses them simultaneously by exploring optimal foraging strategies through a reinforcement learning framework.

reinforcement-learning Reinforcement Learning (RL)

Collective defense of honeybee colonies: experimental results and theoretical modeling

no code implementations14 Oct 2020 Andrea López-Incera, Morgane Nouvian, Katja Ried, Thomas Müller, Hans J. Briegel

Social insect colonies routinely face large vertebrate predators, against which they need to mount a collective defense.

Development of swarm behavior in artificial learning agents that adapt to different foraging environments

no code implementations1 Apr 2020 Andrea López-Incera, Katja Ried, Thomas Müller, Hans J. Briegel

Collective behavior, and swarm formation in particular, has been studied from several perspectives within a large variety of fields, ranging from biology to physics.

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