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Best Paper of NIPS2017 - Safe & Nested Subgame Solving for Imperfect-Information Games

Channel: The Artificial Intelligence Channel & Total View: 441


Add Date: December 10, 2017, 5:01 pm & Duration: 00:16:15


Likes: 25 | Dislike: 0


Tags:

singularity, artificial intelligence, deep learning, machine learning, deepmind, robots, robotics, self-driving cars, driverless cars, NIPS2017

Presented by Noam Brown.

"In imperfect-information games, the optimal strategy in a subgame may depend on the strategy in other, unreached subgames. Thus a subgame cannot be solved in isolation and must instead consider the strategy for the entire game as a whole, unlike perfect-information games.

Nevertheless, it is possible to first approximate a solution for the whole game and then improve it by solving individual subgames. This is referred to as subgame solving. We introduce subgame-solving techniques that outperform prior methods both in theory and practice.

We also show how to adapt them, and past subgame-solving techniques, to respond to opponent actions that are outside the original action abstraction; this significantly outperforms the prior state-of-the-art approach, action translation. Finally, we show that subgame solving can be repeated as the game progresses down the game tree, leading to far lower exploitability. These techniques were a key component of Libratus, the first AI to defeat top humans in heads-up no-limit Texas hold'em."

https://arxiv.org/abs/1705.02955

December 5th, 2017

NIPS-17 Best Paper: Safe and Nested Subgame Solving for Imperfect-Information Games

Channel: Noam Brown & Total View: 561


Add Date: November 24, 2017, 9:42 pm & Duration: 00:03:36


Likes: 16 | Dislike: 0


Tags:

NIPS, NIPS17, NIPS2017, NIPS-17, NIPS-2017, Artificial Intelligence, Reinforcement Learning, Game AI, Games AI, Poker, Poker AI, Libratus

In imperfect-information games, the optimal strategy in a subgame may depend on the strategy in other, unreached subgames. Thus a subgame cannot be solved in isolation and must instead consider the strategy for the entire game as a whole, unlike perfect-information games. Nevertheless, it is possible to first approximate a solution for the whole game and then improve it in individual subgames. This is referred to as subgame solving. We introduce subgame-solving techniques that outperform prior methods both in theory and practice. We also show how to adapt them, and past subgame-solving techniques, to respond to opponent actions that are outside the original action abstraction; this significantly outperforms the prior state-of-the-art approach, action translation. Finally, we show that subgame solving can be repeated as the game progresses down the game tree, leading to far lower exploitability. These techniques were a key component of Libratus, the first AI to defeat top humans in heads-up no-limit Texas hold'em poker.

IMPERFECT INFORMATION MODEL isi+dse+jnu+msqe+igidr+entrance+study materials

Channel: SOURAV SIR'S CLASSES & Total View: 97


Add Date: August 12, 2017, 5:31 am & Duration: 00:05:36


Likes: 2 | Dislike: 0


Tags:

imperfect information, imperfect information economics, imperfect information economics examples, imperfect information extensive form game, imperfect information game theory, imperfect information game tree, imperfect information games, imperfect information market failure, imperfect information merit and demerit goods, imperfect information model, imperfect information subgame perfect equilibrium

IMPERFECT INFORMATION MODEL isi+dse+jnu+msqe+igidr+entrance+study materials

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StarCraft II Design - 3-Rax Reaper, Cheeses, Imperfect Information, Game Sense, and Mechanics

Channel: brownbear & Total View: 1806


Add Date: June 25, 2017, 10:06 am & Duration: 00:15:47


Likes: 107 | Dislike: 0


Tags:

sc2, scii, starcraft ii, starcraft 2, wol, hots, lotv, wings of liberty, legacy of the void, heart of the swarm, david kim, blizzard entertainment, blizzard, brood war, brood war remastered, starcraft, game design, design commentary, brownbear, 3-rax, three rax reaper, three rax, 3-rax reaper, cheeses, imperfect information, game sense, mechanics

Hey folks,

Welcome back to brownbear's Summer of StarCraft! Today's episode three - three-rax reaper, cheeses, imperfect information, game sense, and mechanics.

If you enjoyed this video, I'd love it if you followed me here and on Twitter and Facebook to receive regular content updates. The relevant links are below. Thank you and see you next time!

Thanks,
brownbear

Facebook: https://www.facebook.com/brownbeargaming
Twitter: https://www.twitter.com/brownbear_47
YouTube: https://www.youtube.com/brownbeargaming
Twitch: https://www.twitch.tv/grizzlybrownbeargaming

Special Thanks:
-- https://twitter.com/olimoley for allowing me to use small bits of Olimoleague footage

Timestamps:
-- Cheeses (0:30)
-- Removing Cheeses + Build Order Trade-offs (2:00)
-- 3-Rax Reaper (5:46)
-- Imperfect Information and Game Sense (7:12)
-- Mechanics (11:56)

Recommended Readings (by others):
-- http://www.teamliquid.net/forum/starcraft-2/520756-a-eulogy-for-the-six-pool (Legacy’s impact on early game aggression)

Recommend Readings (by me):
-- https://illiteracyhasdownsides.com/2016/09/25/why-mechanics-are-critical-to-real-time-strategy-games/ (mechanics...

Deconstructing Games: HanabiDeconstructing Games: Hanabi
00:00:53June 16, 2017, 12:51 am
Deconstructing Games: Hanabi

Channel: Kinection & Total View: 17


Add Date: June 16, 2017, 12:51 am & Duration: 00:00:53


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#FocusOnLearn

Trailer for Session 610 at the FocusOn Learning 2017 conference. We'll be playing and debriefing "Hanabi," a short, casual card game of imperfect information and challenging communications. Wednesday, June 21, at 1PM in Marina 4.

Incomplete Information, Signalling and Attention Networks

Channel: Meher Roy & Total View: 580


Add Date: March 27, 2017, 9:05 pm & Duration: 01:00:54


Likes: 9 | Dislike: 0


Tags:

ethereum, ipfs, bitcoin, attentioneconomy

This is the second video in a series of four, describing Attention Networks and Attention Backed Assets (ABAs). The first video is available at: https://www.youtube.com/watch?v=nSlKUGsUnN8

Slides for this video: https://goo.gl/9uY9zw
Text script for this video: https://goo.gl/lelvMY

In this presentation, I cover the following topics:

A. Summary of the Attention Network design.
B. Ideas needed to describe game theory model - Incomplete Information and Signalling Equilibria.
C. Short review of Game Theory.
D. Games of Incomplete Information.
E. Signalling as a tool to solve Incomplete Information problems in society.
F. Michael Spence's job market signalling model.
G. The concept of a Signalling Equilibrium.
H. Characteristics of Signalling Equilibria and why the blockchain community ought to pay attention to these.
I. Parallels between job market signalling and Attention Networks.
J. Ability to implement useful economic equilibria as the killer app of smart contract technology.

References:

Games of Incomplete Information played by Bayesian players by John Harsanyi: https://goo.gl/wzkHds
Job Market Signalling by Michael Spence: https://goo.gl/zH3QGi
Michael Spence's...

Poker GTO-4-07: Imperfect Information Extensive Form: Poker

Channel: Poker 2017 & Total View: 3


Add Date: December 29, 2016, 1:29 pm & Duration: 00:03:37


Likes: 0 | Dislike: 0


Tags:

play free, money, strip poker, Game Theory, Stanford University, University of British Columbia, Game Theory Online, Imperfect Information, Extensive Form, Poker (Playing Card Game)

▶▶▶▶▶https://goo.gl/MkDIYc◀◀◀◀◀
▶▶▶▶▶https://goo.gl/MkDIYc◀◀◀◀◀
Watch and Play Free Poker

22 Extensive form Games Week 3 4 6 Imperfect Information 12 49

Channel: archit sharma & Total View: 1057


Add Date: August 3, 2016, 9:33 pm & Duration: 00:12:50


Likes: 4 | Dislike: 0


Tags:

E-lecture, Stanford, Education, Game Theory

22 Extensive form Games Week 3 4 6 Imperfect Information 12 49

The State of Techniques for Solving Large Imperfect-Information Games, Including Poker

Channel: Microsoft Research & Total View: 1989


Add Date: June 21, 2016, 6:40 pm & Duration: 01:30:10


Likes: 32 | Dislike: 0


Tags:

microsoft research, economics

The ability to computationally solve imperfect-information games has a myriad of future applications ranging from auctions, negotiations, and (cyber)security settings to medical domains. A dramatic scalability leap has occurred in the capability to solve such games over the last nine years, fueled in large part by the Annual Computer Poker Competition. I will discuss the key, domain-independent, techniques that enabled this leap, including automated abstraction techniques and approaches for mitigating the issues that they raise, new equilibrium-finding algorithms, safe opponent exploitation methods, techniques that use qualitative knowledge as an extra input, and endgame solving techniques. I will also include new results on 1) developing the world’s best Heads-Up No-Limit Texas Hold'em poker program, 2) theory that enables abstraction that gives solution quality guarantees, 3) techniques for hot starting equilibrium finding, 4) simultaneous abstraction and equilibrium finding, and 5) theory that improves gradient-based equilibrium finding. I will also cover the Brains vs AI competition that I recently organized where our AI, Claudico, challenged four of the top-10 human pros in Heads-Up No-Limit Texas Hold'em for 80,000 hands. (The talk covers joint work with many co-authors,...

GTO 4 10 Incomplete Information in the Extensive Form Beyond Subgame Perfection

Channel: Game Theory Online & Total View: 82


Add Date: May 18, 2016, 2:25 pm & Duration: 00:13:17


Likes: 1 | Dislike: 0


GTO 4 10 Incomplete Information in the Extensive Form Beyond Subgame Perfection

GTO 4 07 Imperfect Information Extensive Form Poker

Channel: Game Theory Online & Total View: 43


Add Date: May 18, 2016, 2:25 pm & Duration: 00:03:37


Likes: 1 | Dislike: 0


GTO 4 07 Imperfect Information Extensive Form Poker

GTO 4 08 Imperfect Information Extensive Form Definition, Strategies

Channel: Game Theory Online & Total View: 65


Add Date: May 18, 2016, 2:25 pm & Duration: 00:10:55


Likes: 0 | Dislike: 0


GTO 4 08 Imperfect Information Extensive Form Definition, Strategies

Game Theory 101 (#63): Incomplete InformationGame Theory 101 (#63): Incomplete Information
00:06:51May 8, 2016, 12:11 pm
Game Theory 101 (#63): Incomplete Information

Channel: William Spaniel & Total View: 10013


Add Date: May 8, 2016, 12:11 pm & Duration: 00:06:51


Likes: 48 | Dislike: 1


Tags:

game theory, incomplete information, Bayesian Nash equilibrium, perfect Bayesian equilibrium, imperfect information, lecture, class, tutorial

gametheory101.com/courses/game-theory-101/

This lecture begins a unit on incomplete information game theory, allowing us to eventually work toward the Bayesian Nash equilibrium and perfect Bayesian equilibrium solution concepts. In incomplete information games, a player does not know another's payoffs. This type of uncertainty forces players to learn as they play the game, creating far richer strategic environments than we have seen before.

Poisson gamesPoisson games
00:02:06January 22, 2016, 10:57 am
Poisson games

Channel: WikiAudio & Total View: 35


Add Date: January 22, 2016, 10:57 am & Duration: 00:02:06


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Poisson games

Poisson games

In game theory a Poisson game is a game with a random number of players, where the distribution of the number of players follows a Poisson random process.An extension of games of imperfect information, Poisson games have mostly seen application to models of voting.

-Video is targeted to blind users

Attribution:
Article text available under CC-BY-SA
image source in video


https://www.youtube.com/watch?v=zRiGiJYQZpQ

Making Progress With Imperfect InformationMaking Progress With Imperfect Information
00:00:51January 12, 2016, 8:21 am
Making Progress With Imperfect Information

Channel: D'Amore-McKim School of Business & Total View: 34


Add Date: January 12, 2016, 8:21 am & Duration: 00:00:51


Likes: 0 | Dislike: 0


Tags:

Northeastern University, D'AMore-McKim School of Business, Leaders at Work

For more on making progress, visit the D'Amore-McKim #LeadersatWork blog today: http://www.damoremckimleadersatworkblog.com/

Learn more: http://www.damore-mckim.northeastern.edu/

Follow us on:
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The State of Techniques for Solving Large Imperfect-Information Games

Channel: Simons Institute & Total View: 851


Add Date: November 20, 2015, 4:18 pm & Duration: 00:44:07


Likes: 9 | Dislike: 0


Tags:

Simons Institute, UC Berkeley, computer science, theory of computing, Economics and Computation, Tuomas Sandholm

Tuomas Sandholm, Carnegie Mellon University
Algorithmic Game Theory and Practice
https://simons.berkeley.edu/talks/tuomas-sandholm-2015-11-18

Israel (Robert John) Aumann - Repeated Games of Incomplete Information

Channel: Israel Institute for Advanced Studies & Total View: 1752


Add Date: July 6, 2015, 12:57 am & Duration: 01:29:58


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Tags:

IIAS, Israel, Institute, for, advanced, studies, aumann;, Israel (Robert John) Aumann

Israel (Robert John) Aumann (The Hebrew
University of Jerusalem)
Repeated Games of Incomplete Information

Johannes Hörner - Discounted Stochastic Games: Incomplete Information 2

Channel: Israel Institute for Advanced Studies & Total View: 672


Add Date: June 29, 2015, 2:00 am & Duration: 01:31:16


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Tags:

IIAS, Israel, Institute, for, advanced, studies, Johannes Hörner

Johannes Hörner (Yale University)
Discounted Stochastic Games: Incomplete
Information 2

Larry Samuelson - Introduction to Games with Incomplete Information and Reputations

Channel: Israel Institute for Advanced Studies & Total View: 1009


Add Date: June 24, 2015, 8:32 am & Duration: 01:29:57


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Tags:

IIAS, Israel, Institute, for, advanced, studies, Larry Samuelson

Larry Samuelson (Yale University)
Introduction to Games with Incomplete
Information and Reputations

GTO-4-08: Imperfect Information Extensive Form: Definition, Strategies 2015

Channel: games life & Total View: 176


Add Date: April 8, 2015, 8:05 am & Duration: 00:10:55


Likes: 1 | Dislike: 1


Tags:

hunger games 3, play games free, game torent, hunger games film, play games online free, free game online, game duell, backgammon, free poker game, games, Game Theory (Field Of Study), The Hunger Games (Award-Winning Work)

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Lecture 55: Extensive Form Game with Incomplete Information

Channel: Aditya Jagannatham & Total View: 1912


Add Date: February 23, 2015, 8:35 pm & Duration: 00:12:09


Likes: 7 | Dislike: 0


Lecture 55: Extensive Form Game with Incomplete Information

Incomplete InformationIncomplete Information
00:01:26May 24, 2014, 5:21 pm
Incomplete Information

Channel: Vincent Faust & Total View: 15


Add Date: May 24, 2014, 5:21 pm & Duration: 00:01:26


Likes: 0 | Dislike: 0


Tags:

halo, video game

Also not including time in Custom Games.

Random events and incomplete information.Random events and incomplete information.
00:01:37February 5, 2014, 3:23 am
Random events and incomplete information.

Channel: Vincent Knight & Total View: 763


Add Date: February 5, 2014, 3:23 am & Duration: 00:01:37


Likes: 0 | Dislike: 2


Tags:

Game Theory

I talk about how events of nature can be incorporated in to incomplete information games. In particular I use an example to show how the Normal form game representation of an extensive form game is used to find the Nash equilibrium.

This video corresponds to this Chapter of my Game Theory class: http://goo.gl/ZIWNkG

GTO-4-08: Imperfect Information Extensive Form: Definition, Strategies

Channel: Game Theory Online & Total View: 23058


Add Date: November 5, 2013, 12:11 pm & Duration: 00:10:55


Likes: 79 | Dislike: 0


Tags:

Game Theory, Stanford University, University of British Columbia, Game Theory Online, Pure Strategy, Imperfect Information, Extensive Form, Formal Model

This video from Game Theory Online (http://www.game-theory-class.org) formally defines an imperfect information extensive form game, and extends the definition of pure strategies from normal form and perfect information extensive form games. It features Kevin Leyton-Brown (UBC).

GTO-4-10: Incomplete Information in the Extensive Form: Beyond Subgame Perfection

Channel: Game Theory Online & Total View: 29123


Add Date: November 5, 2013, 12:11 pm & Duration: 00:13:17


Likes: 81 | Dislike: 8


Tags:

Game Theory, Stanford University, University of British Columbia, Game Theory Online, Imperfect Information, Extensive Form, Incomplete Information, Sequential Equilibrium, Perfect Bayesian Equilibrium, Equilibrium Refinement, Nash Equilibrium (Namesake)

This video from Game Theory Online (http://www.game-theory-class.org) considers equilibrium refinement in the context of incomplete information extensive form games, where subgame perfection is less often applicable than in perfect information extensive form games. It briefly describes two new equilibrium refinements, perfect Bayesian equilibrium and sequential equilibrium, that are more useful in the incomplete information case. It features Matt Jackson (Stanford).

GTO-4-07: Imperfect Information Extensive Form: PokerGTO-4-07: Imperfect Information Extensive Form: Poker
00:03:37November 5, 2013, 12:07 pm
GTO-4-07: Imperfect Information Extensive Form: Poker

Channel: Game Theory Online & Total View: 4035


Add Date: November 5, 2013, 12:07 pm & Duration: 00:03:37


Likes: 6 | Dislike: 0


Tags:

Game Theory, Stanford University, University of British Columbia, Game Theory Online, Imperfect Information, Extensive Form, Poker (Playing Card Game)

This video from Game Theory Online (http://www.game-theory-class.org) introduces the intuition behind imperfect information extensive form games using poker as an example. It features Matt Jackson (Stanford).

Lecture 4 - 6-Game Theory - Imperfect Information (12-49)

Channel: Rameshwar Gupta & Total View: 2026


Add Date: December 2, 2012, 10:23 am & Duration: 00:12:50


Likes: 1 | Dislike: 0


Tags:

Imperfect Information, Lecture 4 - 6, Watch, Robot, Computer, Read, Information (Website Category), Computer (magazine), Read Description, Game, rameshwar.gupt, rameshwar, rameshwar gupta, rameshwar gupt, physics, math, mathematics, science, robotics, chemistry, lecture, Introduction to Algorithms, Electronics, project, lab, Algorithms, intro, Game Theory, Physics (Aristotle), Robot (The Goodies)

Lecture 4 - 6-Game Theory - Imperfect Information (12-49)

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4 - 6 - Imperfect Information -Game Theory-Matthew O. Jackson & Yoav Shoham

Channel: OpenCourseOnline & Total View: 1422


Add Date: April 14, 2012, 10:28 pm & Duration: 00:12:50


Likes: 3 | Dislike: 0


Tags:

Matthew O. Jackson, Yoav Shoham, Free Online Class, Game Theory Course, Game Theory, Game Theory Class, Stanford, Stanford University, Coursera

If you are interest on more free online course info, welcome to: http://opencourseonline.com/
Professor Matthew O. Jackson & Yoav Shoham are offering a free online course on Game Theory starting in March 23, 2012. https://class.coursera.org/gametheory/
Offered by Coursera: https://www.coursera.org/

18. Imperfect information: information sets and sub-game perfection

Channel: YaleCourses & Total View: 51866


Add Date: November 20, 2008, 1:17 pm & Duration: 01:15:58


Likes: 177 | Dislike: 5


Tags:

Backward, Induction, Battle, sexes, Cournot, duopoly, extensive, form, imperfect, information, sets, Nash, equilibrium, normal, sub-game, perfect

Game Theory (ECON 159)

We consider games that have both simultaneous and sequential components, combining ideas from before and after the midterm. We represent what a player does not know within a game using an information set: a collection of nodes among which the player cannot distinguish. This lets us define games of imperfect information; and also lets us formally define subgames. We then extend our definition of a strategy to imperfect information games, and use this to construct the normal form (the payoff matrix) of such games. A key idea here is that it is information, not time per se, that matters. We show that not all Nash equilibria of such games are equally plausible: some are inconsistent with backward induction; some involve non-Nash behavior in some (unreached) subgames. To deal with this, we introduce a more refined equilibrium notion, called sub-game perfection.

00:00 - Chapter 1. Games of Imperfect Information: Information Sets
18:56 - Chapter 2. Games of Imperfect Information: Translating a Game from Matrix Form to Tree Form and Vice Versa
35:11 - Chapter 3. Games of Imperfect Information: Finding Nash Equilibria
49:59 - Chapter 4. Games of Imperfect Information: Sub-games
01:10:17 - Chapter 5. Games of Imperfect...

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