Google DeepMind (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "Google DeepMind" in English language version.

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acm.org (Global: 1,200th place; English: 821st place)

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  • Markov, Igor L. (23 October 2024). "Reevaluating Google's Reinforcement Learning for IC Macro Placement". Communications of the ACM. 67 (11). Association for Computing Machinery: 60–71. arXiv:2306.09633. doi:10.1145/3676845. A 2021 paper in Nature by Mirhoseini, Goldie, et al. about the use of reinforcement learning (RL) in the physical design of silicon chips raised eyebrows, drew critical media coverage, and stirred up controversy due to poorly documented claims. ... This meta-analysis discusses the reproduction and evaluation of results in the Nature paper by Mirhoseini, Goldie, et al., as well as the validity of methods, results, and claims.
  • Halper, Mark (4 November 2024). "Updates Spark Uproar". Communications of the ACM. Archived from the original on 7 August 2025. Retrieved 27 July 2025.

adsabs.harvard.edu (Global: 14th place; English: 9th place)

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arxiv.org (Global: 49th place; English: 31st place)

  • Graves, Alex; Wayne, Greg; Danihelka, Ivo (2014). "Neural Turing Machines". arXiv:1410.5401 [cs.NE].
  • Silver, David; Hubert, Thomas; Schrittwieser, Julian; Antonoglou, Ioannis; Lai, Matthew; Guez, Arthur; Lanctot, Marc; Sifre, Laurent; Kumaran, Dharshan; Graepel, Thore; Lillicrap, Timothy; Simonyan, Karen; Hassabis, Demis (5 December 2017). "Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm". arXiv:1712.01815 [cs.AI].
  • Mnih, Volodymyr; Kavukcuoglu, Koray; Silver, David; Graves, Alex; Antonoglou, Ioannis; Wierstra, Daan; Riedmiller, Martin (12 December 2013). "Playing Atari with Deep Reinforcement Learning". arXiv:1312.5602 [cs.LG].
  • Mnih, Volodymyr; Kavukcuoglu, Koray; Silver, David; Graves, Alex; Antonoglou, Ioannis; Wierstra, Daan; Riedmiller, Martin (19 December 2013). "Playing Atari with Deep Reinforcement Learning". arXiv:1312.5602 [cs.LG].
  • Adrià Puigdomènech Badia; Piot, Bilal; Kapturowski, Steven; Sprechmann, Pablo; Vitvitskyi, Alex; Guo, Daniel; Blundell, Charles (30 March 2020). "Agent57: Outperforming the Atari Human Benchmark". arXiv:2003.13350 [cs.LG].
  • Schrittwieser, Julian; Antonoglou, Ioannis; Hubert, Thomas; Simonyan, Karen; Sifre, Laurent; Schmitt, Simon; Guez, Arthur; Lockhart, Edward; Hassabis, Demis; Graepel, Thore; Lillicrap, Timothy (23 December 2020). "Mastering Atari, Go, chess and shogi by planning with a learned model". Nature. 588 (7839): 604–609. arXiv:1911.08265. Bibcode:2020Natur.588..604S. doi:10.1038/s41586-020-03051-4. ISSN 0028-0836. PMID 33361790. S2CID 208158225. Archived from the original on 29 April 2022. Retrieved 29 April 2022.
  • Mandhane, Amol; Zhernov, Anton; Rauh, Maribeth; Gu, Chenjie; Wang, Miaosen; Xue, Flora; Shang, Wendy; Pang, Derek; Claus, Rene; Chiang, Ching-Han; Chen, Cheng (14 February 2022). "MuZero with Self-competition for Rate Control in VP9 Video Compression". arXiv:2202.06626 [eess.IV].
  • Luo, Jerry; Paduraru, Cosmin; Voicu, Octavian; Chervonyi, Yuri; Munns, Scott; Li, Jerry; Qian, Crystal; Dutta, Praneet; Davis, Jared Quincy (14 December 2022), Controlling Commercial Cooling Systems Using Reinforcement Learning, arXiv:2211.07357
  • Alayrac, Jean-Baptiste (2022). "Flamingo: a Visual Language Model for Few-Shot Learning" (PDF). arXiv:2204.14198. Archived (PDF) from the original on 28 April 2022. Retrieved 29 April 2022.
  • Tuyls, Karl; Omidshafiei, Shayegan; Muller, Paul; Wang, Zhe; Connor, Jerome; Hennes, Daniel; Graham, Ian; Spearman, William; Waskett, Tim; Steel, Dafydd; Luc, Pauline (6 May 2021). "Game Plan: What AI can do for Football, and What Football can do for AI". Journal of Artificial Intelligence Research. 71: 41–88. arXiv:2011.09192. doi:10.1613/jair.1.12505. ISSN 1076-9757. S2CID 227013043.
  • Markov, Igor L. (23 October 2024). "Reevaluating Google's Reinforcement Learning for IC Macro Placement". Communications of the ACM. 67 (11). Association for Computing Machinery: 60–71. arXiv:2306.09633. doi:10.1145/3676845. A 2021 paper in Nature by Mirhoseini, Goldie, et al. about the use of reinforcement learning (RL) in the physical design of silicon chips raised eyebrows, drew critical media coverage, and stirred up controversy due to poorly documented claims. ... This meta-analysis discusses the reproduction and evaluation of results in the Nature paper by Mirhoseini, Goldie, et al., as well as the validity of methods, results, and claims.
  • Amodei, Dario; Olah, Chris; Steinhardt, Jacob; Christiano, Paul; Schulman, John; Mané, Dan (21 June 2016). "Concrete Problems in AI Safety". arXiv:1606.06565 [cs.AI].

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  • Kohs, Greg (29 September 2017), AlphaGo, Ioannis Antonoglou, Lucas Baker, Nick Bostrom, archived from the original on 6 April 2017, retrieved 9 January 2018

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