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StarCraft II: A New Challenge for Reinforcement Learning.

O. Vinyals, T. Ewalds, S. Bartunov, P. Georgiev, A. Vezhnevets, M. Yeo, A. Makhzani, H. Küttler, J. Agapiou, J. Schrittwieser, J. Quan, S. Gaffney, S. Petersen, K. Simonyan, T. Schaul, H. van Hasselt, D. Silver, T. Lillicrap, K. Calderone, P. Keet, A. Brunasso, D. Lawrence, A. Ekermo, J. Repp, and R. Tsing. CoRR, (2017)

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Stefan Schrittwieser

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Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.M. Reid, N. Savinov, D. Teplyashin, D. Lepikhin, T. Lillicrap, J. Alayrac, R. Soricut, A. Lazaridou, O. Firat, J. Schrittwieser and 43 other author(s). CoRR, (2024)Mastering the game of Go with deep neural networks and tree searchD. Silver, A. Huang, C. Maddison, A. Guez, L. Sifre, G. van den Driessche, J. Schrittwieser, I. Antonoglou, V. Panneershelvam, M. Lanctot and 1 other author(s). Nature, 529 (7587): 484--489 (2016)Faster sorting algorithms discovered using deep reinforcement learning.D. Mankowitz, A. Michi, A. Zhernov, M. Gelmi, M. Selvi, C. Paduraru, E. Leurent, S. Iqbal, J. Lespiau, A. Ahern and 20 other author(s). Nat., 618 (7964): 257-263 (2023)Mastering the game of Go without human knowledge.D. Silver, J. Schrittwieser, K. Simonyan, I. Antonoglou, A. Huang, A. Guez, T. Hubert, L. Baker, M. Lai, A. Bolton and 7 other author(s). Nat., 550 (7676): 354-359 (2017)Mastering the game of Go with deep neural networks and tree searchD. Silver, A. Huang, C. Maddison, A. Guez, L. Sifre, G. Van Den Driessche, J. Schrittwieser, I. Antonoglou, V. Panneershelvam, and M. Lanctot. (2016)A general reinforcement learning algorithm that masters chess, shogi, and Go through self-playD. Silver, T. Hubert, J. Schrittwieser, I. Antonoglou, M. Lai, A. Guez, M. Lanctot, L. Sifre, D. Kumaran, T. Graepel and 3 other author(s). Science, 362 (6419): 1140--1144 (2018)Bayesian Optimization in AlphaGo.Y. Chen, A. Huang, Z. Wang, I. Antonoglou, J. Schrittwieser, D. Silver, and N. de Freitas. CoRR, (2018)Policy improvement by planning with Gumbel.I. Danihelka, A. Guez, J. Schrittwieser, and D. Silver. ICLR, OpenReview.net, (2022)A general reinforcement learning algorithm that masters chess, shogi, and Go through self-playD. Silver, T. Hubert, J. Schrittwieser, I. Antonoglou, M. Lai, A. Guez, M. Lanctot, L. Sifre, D. Kumaran, T. Graepel and 1 other author(s). Science, 362 (6419): 1140--1144 (2018)Mastering Atari, Go, Chess and Shogi by Planning with a Learned ModelJ. Schrittwieser, I. Antonoglou, T. Hubert, K. Simonyan, L. Sifre, S. Schmitt, A. Guez, E. Lockhart, D. Hassabis, T. Graepel and 2 other author(s). (2019)cite arxiv:1911.08265.

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Disambiguation of "Schrittwieser, Julian"

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StarCraft II: A New Challenge for Reinforcement Learning.

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Stefan Schrittwieser

Julian Gonska

Julian Grapengiesser

Julian Künzel

Julian Horst

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Disambiguation

BibSonomy

Disambiguation of "Schrittwieser, Julian"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML StarCraft II: A New Challenge for Reinforcement Learning.

Please choose a person to relate this publication to

Stefan Schrittwieser

Julian Gonska

Julian Grapengiesser

Julian Künzel

Julian Horst

Other publications of authors with the same name

Disambiguation

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StarCraft II: A New Challenge for Reinforcement Learning.