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Bayesian Action Decoder for Deep Multi-Agent Reinforcement Learning.

J. Foerster, H. Song, E. Hughes, N. Burch, I. Dunning, S. Whiteson, M. Botvinick, and M. Bowling. ICML, volume 97 of Proceedings of Machine Learning Research, page 1942-1951. PMLR, (2019)

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Herbert Foerster

Hellmut Foerster

Wolfgang Foerster

Rudolf Foerster

Other publications of authors with the same name

Exploring Zero-Shot Emergent Communication in Embodied Multi-Agent Populations.K. Bullard, F. Meier, D. Kiela, J. Pineau, and J. Foerster. CoRR, (2020)Implicit Communication as Minimum Entropy Coupling.S. Sokota, C. de Witt, M. Igl, L. Zintgraf, P. Torr, S. Whiteson, and J. Foerster. CoRR, (2021)Mixtures of Experts Unlock Parameter Scaling for Deep RL.J. Obando-Ceron, G. Sokar, T. Willi, C. Lyle, J. Farebrother, J. Foerster, G. Dziugaite, D. Precup, and P. Castro. CoRR, (2024)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)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)Can I Trust the Explainer? Verifying Post-hoc Explanatory Methods.O. Camburu, E. Giunchiglia, J. Foerster, T. Lukasiewicz, and P. Blunsom. CoRR, (2019)Counterfactual Multi-Agent Policy Gradients.J. Foerster, G. Farquhar, T. Afouras, N. Nardelli, and S. Whiteson. AAAI, page 2974-2982. AAAI Press, (2018)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)Model-Free Opponent Shaping.C. Lu, T. Willi, C. de Witt, and J. Foerster. ICML, volume 162 of Proceedings of Machine Learning Research, page 14398-14411. PMLR, (2022)

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Disambiguation of "Foerster, Jakob N."

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Bayesian Action Decoder for Deep Multi-Agent Reinforcement Learning.

Please choose a person to relate this publication to

n n n

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 Bayesian Action Decoder for Deep Multi-Agent Reinforcement Learning.

Please choose a person to relate this publication to

n n n

Herbert Foerster

Hellmut Foerster

Wolfgang Foerster

Rudolf Foerster

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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MSOffice XML

Bayesian Action Decoder for Deep Multi-Agent Reinforcement Learning.