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

T. Rashid, M. Samvelyan, C. de Witt, G. Farquhar, J. Foerster, and S. Whiteson. ICML, volume 80 of Proceedings of Machine Learning Research, page 4292-4301. PMLR, (2018)

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Herbert Foerster

Hellmut Foerster

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Rudolf Foerster

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Counterfactual Multi-Agent Policy Gradients.J. Foerster, G. Farquhar, T. Afouras, N. Nardelli, and S. Whiteson. AAAI, page 2974-2982. AAAI Press, (2018)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)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)Centralized Model and Exploration Policy for Multi-Agent RL.Q. Zhang, C. Lu, A. Garg, and J. Foerster. AAMAS, page 1500-1508. International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), (2022)Learning with Opponent-Learning Awareness.J. Foerster, R. Chen, M. Al-Shedivat, S. Whiteson, P. Abbeel, and I. Mordatch. AAMAS, page 122-130. International Foundation for Autonomous Agents and Multiagent Systems Richland, SC, USA / ACM, (2018)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)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)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)Generalized Beliefs for Cooperative AI.D. Muglich, L. Zintgraf, C. de Witt, S. Whiteson, and J. Foerster. ICML, volume 162 of Proceedings of Machine Learning Research, page 16062-16082. PMLR, (2022)

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Disambiguation of "Foerster, Jakob N."

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QMIX: 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

BibSonomy

Disambiguation of "Foerster, Jakob N."

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