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Marc Lanctot's Web Site

I am a research scientist at Google DeepMind. Previously, I was a post-doctoral researcher at the Maastricht University Games and AI Group. Working with Mark Winands. During my PhD, I worked at University of Alberta with Michael Bowling. On sampling algorithms for equilibrium computation and decision-making in games. You can read all about it in my thesis. Before my PhD, I did an undergrad and Master's at McGill University's School of Computer Science and Games Research @ McGill. CFR and MCCFR variants.

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Lanctot Marc

Mr Marc Lanctot

50 Co●●●●●a Ave

Eto●●●oke , ON, M9A4X6

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la●●●●●@ualberta.ca

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Lanctot Marc

Mr Marc Lanctot

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Eto●●●oke , ON, M9A4X6

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Lanctot Marc

Mr Marc Lanctot

50 Co●●●●●a Ave

Eto●●●oke , ON, M9A4X6

CA

1.41●●●●7081
la●●●●●@ualberta.ca

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Lanctot Marc

Mr Marc Lanctot

50 Co●●●●●a Ave

Eto●●●oke , ON, M9A4X6

CA

1.41●●●●7081
la●●●●●@ualberta.ca

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Marc Lanctot's Web Site | mlanctot.info Reviews
<META>
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I am a research scientist at Google DeepMind. Previously, I was a post-doctoral researcher at the Maastricht University Games and AI Group. Working with Mark Winands. During my PhD, I worked at University of Alberta with Michael Bowling. On sampling algorithms for equilibrium computation and decision-making in games. You can read all about it in my thesis. Before my PhD, I did an undergrad and Master's at McGill University's School of Computer Science and Games Research @ McGill. CFR and MCCFR variants.
<META>
KEYWORDS
1 marc lanctot
2 about me
3 code
4 bluff11 zip
5 please read the
6 readme txt
7 hexit
8 publications
9 karl tuyls
10 julien pérolat
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Marc Lanctot's Web Site | mlanctot.info Reviews

https://mlanctot.info

I am a research scientist at Google DeepMind. Previously, I was a post-doctoral researcher at the Maastricht University Games and AI Group. Working with Mark Winands. During my PhD, I worked at University of Alberta with Michael Bowling. On sampling algorithms for equilibrium computation and decision-making in games. You can read all about it in my thesis. Before my PhD, I did an undergrad and Master's at McGill University's School of Computer Science and Games Research @ McGill. CFR and MCCFR variants.

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Marc Lanctot's bibtex file

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Book and Journal articles. Article{Bosansky16Algorithms, author = {Branislav Bo v{s}ansk '{y} and Viliam Lis '{y} and Marc Lanctot and Ji v{r} '{i} v{C}erm '{a}k and Mark H.M. Winands}, title = {Algorithms for computing strategies in two-player simultaneous move games}, journal = {Artificial Intelligence}, volume = 237, pages = {1 -40}, year = 2016 }. Inbook{sailer08simulation, author = {M. Buro and M. Lanctot and F. Sailer}, title = {Simulation-Based Planning in {RTS} Games}, booktitle = { A...Inproceed...

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An Introduction to Counterfactual Regret Minimization

http://modelai.gettysburg.edu/2013/cfr/index.html

In 2000, Hart and Mas-Colell introduced the important game-theoretic algorithm of regret matching. Players reach equilibrium play by tracking regrets for past plays, making future plays proportional to positive cumulative regrets (i.e. how much they wished they had made the moves on average). The technique is not only simple and intuitive; it inspired the counterfactual regret minimization algorithm that has since formed the basis for bots dominating annual computer. Students acquire a deep experiential ...

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Marc Lanctot's Web Site

I am a research scientist at Google DeepMind. Previously, I was a post-doctoral researcher at the Maastricht University Games and AI Group. Working with Mark Winands. During my PhD, I worked at University of Alberta with Michael Bowling. On sampling algorithms for equilibrium computation and decision-making in games. You can read all about it in my thesis. Before my PhD, I did an undergrad and Master's at McGill University's School of Computer Science and Games Research @ McGill. CFR and MCCFR variants.

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