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Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning.

T. Rashid, M. Samvelyan, C. de Witt, G. Farquhar, J. Foerster, and S. Whiteson. J. Mach. Learn. Res., (2020)

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Herbert Foerster

Hellmut Foerster

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On the Pitfalls of Measuring Emergent Communication.R. Lowe, J. Foerster, Y. Boureau, J. Pineau, and Y. Dauphin. AAMAS, page 693-701. International Foundation for Autonomous Agents and Multiagent Systems, (2019)Implicit Communication as Minimum Entropy Coupling.S. Sokota, C. de Witt, M. Igl, L. Zintgraf, P. Torr, S. Whiteson, and J. Foerster. CoRR, (2021)Perfectly Secure Steganography Using Minimum Entropy Coupling.C. de Witt, S. Sokota, J. Kolter, J. Foerster, and M. Strohmeier. CoRR, (2022)Learning to Optimize Quasi-Newton Methods.I. Liao, R. Dangovski, J. Foerster, and M. Soljacic. CoRR, (2022)Counterfactual Multi-Agent Policy Gradients.J. Foerster, G. Farquhar, T. Afouras, N. Nardelli, and S. Whiteson. AAAI, page 2974-2982. AAAI Press, (2018)Analysing the Sample Complexity of Opponent Shaping.K. Fung, Q. Zhang, C. Lu, J. Wan, T. Willi, and J. Foerster. AAMAS, page 623-631. International Foundation for Autonomous Agents and Multiagent Systems / ACM, (2024)Multi-Agent Common Knowledge Reinforcement Learning.C. de Witt, J. Foerster, G. Farquhar, P. Torr, W. Boehmer, and S. Whiteson. NeurIPS, page 9924-9935. (2019)Loaded DiCE: Trading off Bias and Variance in Any-Order Score Function Gradient Estimators for Reinforcement Learning.G. Farquhar, S. Whiteson, and J. Foerster. NeurIPS, page 8149-8160. (2019)Grounding Aleatoric Uncertainty for Unsupervised Environment Design.M. Jiang, M. Dennis, J. Parker-Holder, A. Lupu, H. Küttler, E. Grefenstette, T. Rocktäschel, and J. Foerster. NeurIPS, (2022)A New Formalism, Method and Open Issues for Zero-Shot Coordination.J. Treutlein, M. Dennis, C. Oesterheld, and J. Foerster. ICML, volume 139 of Proceedings of Machine Learning Research, page 10413-10423. PMLR, (2021)

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Disambiguation of "Foerster, Jakob N."

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Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning.

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Herbert Foerster

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Rudolf Foerster

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BibSonomy

Disambiguation of "Foerster, Jakob N."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning.

Please choose a person to relate this publication to

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Herbert Foerster

Hellmut Foerster

Wolfgang Foerster

Rudolf Foerster

Other publications of authors with the same name

Disambiguation

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URL
DOI
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Chicago
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Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning.