Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Wojciech Marian Czarnecki"'
Autor:
Tom Schaul, David Silver, James Molloy, Junhyuk Oh, Katrina McKinney, Oriol Vinyals, David H. Choi, Junyoung Chung, Tobias Pohlen, Dani Yogatama, Tobias Pfaff, Demis Hassabis, Michael Mathieu, Dan Horgan, Ivo Danihelka, Igor Babuschkin, Dario Wünsch, Tom Le Paine, Yury Sulsky, Wojciech Marian Czarnecki, Rémi Leblond, Ziyu Wang, Andrew Dudzik, Trevor Cai, Chris Apps, Yuhuai Wu, David Budden, Valentin Dalibard, Timo Ewalds, Oliver Smith, John P. Agapiou, Aja Huang, Roman Ring, Petko Georgiev, Max Jaderberg, Koray Kavukcuoglu, Alexander Vezhnevets, Caglar Gulcehre, Manuel Kroiss, Laurent Sifre, Richard E. Powell, Timothy P. Lillicrap
Publikováno v:
Nature. 575:350-354
Many real-world applications require artificial agents to compete and coordinate with other agents in complex environments. As a stepping stone to this goal, the domain of StarCraft has emerged as an important challenge for artificial intelligence re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9d298c946101431edcf15241ecf98a28
https://doi.org/10.1038/s41586-019-1724-z
https://doi.org/10.1038/s41586-019-1724-z
Autor:
Wojciech Marian Czarnecki, Matteo Hessel, Lasse Espeholt, Hubert Soyer, Hado van Hasselt, Simon Schmitt
Publikováno v:
AAAI
The reinforcement learning (RL) community has made great strides in designing algorithms capable of exceeding human performance on specific tasks. These algorithms are mostly trained one task at the time, each new task requiring to train a brand new
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::616ab99b5f663e2de3632f995620bda9
https://doi.org/10.1609/aaai.v33i01.33013796
https://doi.org/10.1609/aaai.v33i01.33013796
Autor:
Wojciech Marian Czarnecki, Shayegan Omidshafiei, Audrunas Gruslys, Rémi Munos, Julien Perolat, Bart De Vylder, Jerome T. Connor, Mark Rowland, Paul Muller, Daniel Hennes, Francisco C. Santos, Karl Tuyls
Publikováno v:
Nature Communications
Nature Communications, Vol 11, Iss 1, Pp 1-17 (2020)
Nature Communications, Vol 11, Iss 1, Pp 1-17 (2020)
Multiplayer games have long been used as testbeds in artificial intelligence research, aptly referred to as the Drosophila of artificial intelligence. Traditionally, researchers have focused on using well-known games to build strong agents. This prog
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4b267c5e027b84d80d8eb3230a4c6d5e
http://arxiv.org/abs/2005.01642
http://arxiv.org/abs/2005.01642
Autor:
Angeliki Lazaridou, Yoram Bachrach, Richard Everett, Wojciech Marian Czarnecki, Thore Graepel, Edward Hughes, Joel Z. Leibo, Michael Johanson, Marc Lanctot
When autonomous agents interact in the same environment, they must often cooperate to achieve their goals. One way for agents to cooperate effectively is to form a team, make a binding agreement on a joint plan, and execute it. However, when agents a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::93f032e9e0b8d74f8191b01acc3787b1
Autor:
Sabina Podlewska, Wojciech Marian Czarnecki, Damian Leśniak, Andrzej J. Bojarski, Stanisław Jastrzębski
Publikováno v:
Bioorganic & Medicinal Chemistry Letters. 27:626-631
Exponential growth in the number of compounds with experimentally verified activity towards particular target has led to the emergence of various databases gathering data on biological activity. In this study, the ligands of family A of the G Protein
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8c3d502ee36dad1c243da6e4eb24389d
https://doi.org/10.1016/j.bmcl.2016.12.001
https://doi.org/10.1016/j.bmcl.2016.12.001
Autor:
Julien Perolat, Rémi Munos, Mark Rowland, Jean-Baptiste Lespiau, Shayegan Omidshafiei, Wojciech Marian Czarnecki, Christos H. Papadimitriou, Georgios Piliouras, Marc Lanctot, Karl Tuyls
Publikováno v:
Scientific Reports
Scientific Reports, Vol 9, Iss 1, Pp 1-29 (2019)
Scientific Reports, Vol 9, Iss 1, Pp 1-29 (2019)
We introduce α-Rank, a principled evolutionary dynamics methodology, for the evaluation and ranking of agents in large-scale multi-agent interactions, grounded in a novel dynamical game-theoretic solution concept called Markov-Conley chains (MCCs).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2e91807ccedf76188457cc17ccacf67b
https://pubmed.ncbi.nlm.nih.gov/31289288
https://pubmed.ncbi.nlm.nih.gov/31289288
Autor:
Iain Dunning, Nicolas Sonnerat, Max Jaderberg, Guy Lever, Tim Green, Louise Deason, Neil C. Rabinowitz, David Silver, Koray Kavukcuoglu, Ari S. Morcos, Joel Z. Leibo, Demis Hassabis, Antonio García Castañeda, Luke Marris, Thore Graepel, Avraham Ruderman, Wojciech Marian Czarnecki, Charles Beattie
Publikováno v:
Science (New York, N.Y.). 364(6443)
Artificial teamworkArtificially intelligent agents are getting better and better at two-player games, but most real-world endeavors require teamwork. Jaderberget al.designed a computer program that excels at playing the video gameQuake III Arenain Ca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::786d1a7ba7fa8feaee6d0c36194d6c8c
https://pubmed.ncbi.nlm.nih.gov/31147514
https://pubmed.ncbi.nlm.nih.gov/31147514
Autor:
Andrzej J. Bojarski, Krzysztof Rataj, Sabina Podlewska, Agnieszka Pocha, Wojciech Marian Czarnecki
Publikováno v:
Molecules, Vol 23, Iss 6, p 1242 (2018)
Molecules : A Journal of Synthetic Chemistry and Natural Product Chemistry
Molecules; Volume 23; Issue 6; Pages: 1242
Molecules : A Journal of Synthetic Chemistry and Natural Product Chemistry
Molecules; Volume 23; Issue 6; Pages: 1242
Key-based substructural fingerprints are an important element of computer-aided drug design techniques. The usefulness of the fingerprints in filtering compound databases is invaluable, as they allow for the quick rejection of molecules with a low pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a1542bf2682537020d7f9d267e35e71a
http://www.mdpi.com/1420-3049/23/6/1242
http://www.mdpi.com/1420-3049/23/6/1242
Publikováno v:
Molecules
Volume 20
Issue 11
Pages 20107-20117
Molecules; Volume 20; Issue 11; Pages: 20107-20117
Molecules, Vol 20, Iss 11, Pp 20107-20117 (2015)
Volume 20
Issue 11
Pages 20107-20117
Molecules; Volume 20; Issue 11; Pages: 20107-20117
Molecules, Vol 20, Iss 11, Pp 20107-20117 (2015)
Speed, a relatively low requirement for computational resources and high effectiveness of the evaluation of the bioactivity of compounds have caused a rapid growth of interest in the application of machine learning methods to virtual screening tasks.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ac46bb74c6b666f353d8f39189e1f53a
https://doi.org/10.3390/molecules201119679
https://doi.org/10.3390/molecules201119679
Autor:
Wojciech Marian Czarnecki, Jacek Tabor
Publikováno v:
Expert Systems with Applications. 42:5591-5606
We propose a new entropy based multithreshold linear classifier with an adaptive kernel density estimation.Proposed classifier maximizes multiple margins, while being conceptually similar in nature to SVM.This method gives good classification results
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8abf8fa4a7b0d26a9c8cae312e777141
https://doi.org/10.1016/j.eswa.2015.03.007
https://doi.org/10.1016/j.eswa.2015.03.007