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Conference papers

Cooperative Multi-Agent Policy Gradient

Guillaume Bono 1, 2 Jilles Dibangoye 1 Laëtitia Matignon 1, 3 Florian Pereyron 4 Olivier Simonin 1
1 CHROMA - Robots coopératifs et adaptés à la présence humaine en environnements dynamiques
Inria Grenoble - Rhône-Alpes, CITI - CITI Centre of Innovation in Telecommunications and Integration of services
2 CITI - CITI Centre of Innovation in Telecommunications and Integration of services
3 SyCoSMA - Systèmes Cognitifs et Systèmes Multi-Agents
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
4 Advanced Technology and Research, Volvo Group
Document type :
Conference papers
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https://hal.inria.fr/hal-01847775
Contributor : Guillaume Bono Connect in order to contact the contributor
Submitted on : Tuesday, July 24, 2018 - 8:55:45 AM
Last modification on : Tuesday, June 1, 2021 - 2:08:10 PM

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  • HAL Id : hal-01847775, version 1

Collections

CNRS | EC-LYON | UNIV-LYON2 | UNIV-LYON1 | INSA-LYON | INRIA | LIRIS | LABEXIMU | CITI | INSA-GROUPE | UDL | CHAIREVOLVO

Citation

Guillaume Bono, Jilles Dibangoye, Laëtitia Matignon, Florian Pereyron, Olivier Simonin. Cooperative Multi-Agent Policy Gradient. ECML-PKDD 2018 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Sep 2018, Dublin, Ireland. pp.459-476. ⟨hal-01847775⟩

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