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Deep Learning Games - Google Research
research.google.com/pubs/pub45550.htmlTraduire cette page
Dale Schuurmans, Martin Zinkevich. BibTeX. @inproceedings{45550, title = {NIPS 2016 Accepted Papers
https://nips.cc/Conferences/2016/AcceptedPapersTraduire cette page
Deep Learning Games Dale Schuurmans*, ; Martin Zinkevich, Google; Globally Optimal Training of Generalized Polynomial Neural Networks with Nonlinear ...Research at Google
https://research.google.com/Traduire cette page
Deep Learning Games. Dale Schuurmans, Martin Zinkevich. NIPS 2016 (2016) ([PDF]A Portable Deep Learning Model for Modern Gaming AI
cs231n.stanford.edu/reports2016/113_Report.pdfTraduire cette page
The Game Imitation: A Portable Deep Learning Model for Modern Gaming AI. Zhao Chen. Department of Physics. Stanford University, Stanford, CA 94305.[PDF]Deep Online Convex Optimization with Gated Games - arXiv.org
https://arxiv.org/pdf/1604.01952Traduire cette page
de D Balduzzi - 2016 - Autres articles
7 avr. 2016 - Deep learning algorithms have yielded impressive perfor- mance across a range of ... reformulate learning in convnets as gated games and adapt results on ...... [Deep Learning for Reward Design to Improve Monte Carlo Tree ...
arxiv.org › csTraduire cette page
de X Guo - 2016 - Autres articles
24 avr. 2016 - ... for Reward Design to Improve Monte Carlo Tree Search in ATARI Games ... Combining PGRD and Deep Learning in this way should make ...XML (NLM) - Frontiers
journal.frontiersin.org/article/10.3389/frobt.2015.00039/xml/nlm
The backbone of almost all deep learning algorithms is backpropagation, ... distributions. deep learning representation learning optimization game ... performance guarantees in the stochastic and adversarial settings (Zinkevich, ...... Y. Schuurmans D. Lafferty J. D. Williams C. K. I. Culotta A. ( Curran Associates, Inc. ), 1 – 9 .An Introduction to Counterfactual Regret Minimization
modelai.gettysburg.edu/2013/cfr/Traduire cette page
In 2000, Hart and Mas-Colell introduced the important game-theoretic algorithm of ... to Counterfactual Regret Minimization - Learn the game-theoretic regret-Grammars for Games: A Gradient-Based, Game-Theoretic Framework ...
https://www.researchgate.net/.../291186593_Grammars_for_Games_A_Gra...
Official Full-Text Publication: Grammars for Games: A Gradient-Based, ... The backbone of almost all deep learning algorithms is backpropagation, which is simply a gradient computation distributed over a neural network. ...... eds D. Koller, D. Schuurmans, Y. Bengio, and L. Bottou (Curran Associates, .... ZinkevichLearning Deep Architectures for AI - ACM Digital Library
dl.acm.org/citation.cfm?id=1658424Traduire cette page
de Y Bengio - 2009 - Cité 2767 fois - Autres articles
Foundations and Trends® in Machine Learning archive .... Processing Systems 21 (NIPS'08), (D. Koller, D. Schuurmans, Y. Bengio, and L. Bottou, eds.) ...... M. Zinkevich, "Online convex programming and generalized infinitesimal gradient ..... Deep learning for real-time Atari game play using offline Monte-Carlo tree search ...