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Learning to Coordinate with Coordination Graphs in Repeated Single-Stage Multi-Agent Decision Problems.

E. Bargiacchi, T. Verstraeten, D. Roijers, A. Nowé, and H. van Hasselt. ICML, volume 80 of Proceedings of Machine Learning Research, page 491-499. PMLR, (2018)

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Eugenio Rivera

Eugenio Fava

Eugenio Amato

Eugenio Polito

Eugenio Corecco

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A practical guide to multi-objective reinforcement learning and planning.C. Hayes, R. Radulescu, E. Bargiacchi, J. Källström, M. Macfarlane, M. Reymond, T. Verstraeten, L. Zintgraf, R. Dazeley, F. Heintz and 8 other author(s). Auton. Agents Multi Agent Syst., 36 (1): 26 (2022)Scalable Optimization for Wind Farm Control using Coordination Graphs.T. Verstraeten, P. Daems, E. Bargiacchi, D. Roijers, P. Libin, and J. Helsen. AAMAS, page 1362-1370. ACM, (2021)Learning to Coordinate with Coordination Graphs in Repeated Single-Stage Multi-Agent Decision Problems.E. Bargiacchi, T. Verstraeten, D. Roijers, A. Nowé, and H. van Hasselt. ICML, volume 80 of Proceedings of Machine Learning Research, page 491-499. PMLR, (2018)Model-based Multi-Agent Reinforcement Learning with Cooperative Prioritized Sweeping.E. Bargiacchi, T. Verstraeten, D. Roijers, and A. Nowé. CoRR, (2020)Thompson Sampling for Factored Multi-Agent Bandits.T. Verstraeten, E. Bargiacchi, P. Libin, D. Roijers, and A. Nowé. AAMAS, page 2029-2031. International Foundation for Autonomous Agents and Multiagent Systems, (2020)Thompson Sampling for Factored Multi-Agent Bandits.T. Verstraeten, E. Bargiacchi, P. Libin, D. Roijers, and A. Nowé. CoRR, (2019)AI-Toolbox: A C++ library for Reinforcement Learning and Planning (with Python Bindings).E. Bargiacchi, D. Roijers, and A. Nowé. J. Mach. Learn. Res., (2020)Interactive Multi-objective Reinforcement Learning in Multi-armed Bandits with Gaussian Process Utility Models.D. Roijers, L. Zintgraf, P. Libin, M. Reymond, E. Bargiacchi, and A. Nowé. ECML/PKDD (3), volume 12459 of Lecture Notes in Computer Science, page 463-478. Springer, (2020)A Virtual Maze Game to Explain Reinforcement Learning.Y. Coppens, E. Bargiacchi, and A. Nowé. BNAIC/BENELEARN, volume 2491 of CEUR Workshop Proceedings, CEUR-WS.org, (2019)A Brief Guide to Multi-Objective Reinforcement Learning and Planning.C. Hayes, R. Radulescu, E. Bargiacchi, J. Källström, M. Macfarlane, M. Reymond, T. Verstraeten, L. Zintgraf, R. Dazeley, F. Heintz and 8 other author(s). AAMAS, page 1988-1990. ACM, (2023)

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Disambiguation of "Bargiacchi, Eugenio"

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Learning to Coordinate with Coordination Graphs in Repeated Single-Stage Multi-Agent Decision Problems.

Please choose a person to relate this publication to

Eugenio Rivera

Eugenio Fava

Eugenio Amato

Eugenio Polito

Eugenio Corecco

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Bargiacchi, Eugenio"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Learning to Coordinate with Coordination Graphs in Repeated Single-Stage Multi-Agent Decision Problems.

Please choose a person to relate this publication to

Eugenio Rivera

Eugenio Fava

Eugenio Amato

Eugenio Polito

Eugenio Corecco

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
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Learning to Coordinate with Coordination Graphs in Repeated Single-Stage Multi-Agent Decision Problems.