APE: An Anti-poaching Multi-Agent Reinforcement Learning Benchmark

Authors

Meritxell Vinyals (ORCID: https://orcid.org/0000-0001-9975-298X)
Régis Sabbadin (ORCID: https://orcid.org/0000-0002-6286-1821)
Eric Casellas
Prasanna Maddila
Patrick Chabrier

Institutions

Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (FR)
Département mathématiques, informatique, sciences de la donnée et technologies du numérique (FR)
Mathématiques et Informatique Appliquées

Publication Details

Journal: SPIRE - Sciences Po Institutional REpository
Published: 2024-10-28
Primary Topic: Reinforcement Learning in Robotics
Type: article
Field-Weighted Citation Impact: 0.00

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article

APE: An Anti-poaching Multi-Agent Reinforcement Learning Benchmark

Meritxell Vinyals, Régis Sabbadin, Eric Casellas, Prasanna Maddila et al.

Oct 28, 2024

SPIRE - Sciences Po Institutional REpository

Reinforcement Learning in Robotics

article

APE: An Anti-poaching Multi-Agent Reinforcement Learning Benchmark

Meritxell Vinyals, Régis Sabbadin, Eric Casellas, Prasanna Maddila, Patrick Chabrier

October 28, 2024article en

Abstract

No abstract available for this paper.

SPIRE - Sciences Po Institutional REpository

Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (FR), Département mathématiques, informatique, sciences de la donnée et technologies du numérique (FR), Mathématiques et Informatique Appliquées

Openalex Percentile: Top 86%

Reinforcement Learning in Robotics

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APE: An Anti-poaching Multi-Agent Reinforcement Learning Benchmark — Meritxell Vinyals, Régis Sabbadin, et al. · SPIRE - Sciences Po Institutional REpository (2024) | TGRS Research Map | TGRS