Computing Equilibria Christos H. Papadimitriou UC Berkeley “christos”

Slides:



Advertisements
Similar presentations
Approximate Nash Equilibria in interesting games Constantinos Daskalakis, U.C. Berkeley.
Advertisements

Equilibria and Complexity: What now? Christos H. Papadimitriou UC Berkeley christos.
Bilinear Games: Polynomial Time Algorithms for Rank Based Subclasses Ruta Mehta Indian Institute of Technology, Bombay Joint work with Jugal Garg and Albert.
Mixed Strategies CMPT 882 Computational Game Theory Simon Fraser University Spring 2010 Instructor: Oliver Schulte.
6.896: Topics in Algorithmic Game Theory Lecture 8 Constantinos Daskalakis.
COMP 553: Algorithmic Game Theory Fall 2014 Yang Cai Lecture 21.
Computation of Nash Equilibrium Jugal Garg Georgios Piliouras.
6.896: Topics in Algorithmic Game Theory Lecture 12 Constantinos Daskalakis.
Gibbs sampler - simple properties It’s not hard to show that this MC chain is aperiodic. Often is reversible distribution. If in addition the chain is.
Evolution and Repeated Games D. Fudenberg (Harvard) E. Maskin (IAS, Princeton)
6.896: Topics in Algorithmic Game Theory Lecture 11 Constantinos Daskalakis.
Chapter 6 Game Theory © 2006 Thomson Learning/South-Western.
MIT and James Orlin © Game Theory 2-person 0-sum (or constant sum) game theory 2-person game theory (e.g., prisoner’s dilemma)
Nash Equilibria In Graphical Games On Trees Edith Elkind Leslie Ann Goldberg Paul Goldberg.
6.853: Topics in Algorithmic Game Theory Fall 2011 Constantinos Daskalakis Lecture 13.
Course: Applications of Information Theory to Computer Science CSG195, Fall 2008 CCIS Department, Northeastern University Dimitrios Kanoulas.
Regret Minimization and the Price of Total Anarchy Paper by A. Blum, M. Hajiaghayi, K. Ligett, A.Roth Presented by Michael Wunder.
Towards a Constructive Theory of Networked Interactions Constantinos Daskalakis CSAIL, MIT Based on joint work with Christos H. Papadimitriou.
Ranking Games that have Competitiveness-based Strategies Leslie Goldberg, Paul Goldberg, Piotr Krysta and Carmine Ventre University of Liverpool.
Extensive-form games. Extensive-form games with perfect information Player 1 Player 2 Player 1 2, 45, 33, 2 1, 00, 5 Players do not move simultaneously.
Chapter 6 © 2006 Thomson Learning/South-Western Game Theory.
by Vincent Conitzer of Duke
Christos alatzidis constantina galbogini.  The Complexity of Computing a Nash Equilibrium  Constantinos Daskalakis  Paul W. Goldberg  Christos H.
Complexity Results about Nash Equilibria
An Introduction to Game Theory Part II: Mixed and Correlated Strategies Bernhard Nebel.
1 Computing Nash Equilibrium Presenter: Yishay Mansour.
AWESOME: A General Multiagent Learning Algorithm that Converges in Self- Play and Learns a Best Response Against Stationary Opponents Vincent Conitzer.
Nash Q-Learning for General-Sum Stochastic Games Hu & Wellman March 6 th, 2006 CS286r Presented by Ilan Lobel.
Introduction to Game Theory and Behavior Networked Life CIS 112 Spring 2009 Prof. Michael Kearns.
Pure Nash Equilibria: Complete Characterization of Hard and Easy Graphical Games Albert Xin Jiang U. of British Columbia MohammadAli Safari Sharif U. of.
1 Algorithms for Computing Approximate Nash Equilibria Vangelis Markakis Athens University of Economics and Business.
On Bounded Rationality and Computational Complexity Christos Papadimitriou and Mihallis Yannakakis.
Graphical Games Kjartan A. Jónsson. Nash equilibrium Nash equilibrium Nash equilibrium N players playing a dominant strategy is a Nash equilibrium N players.
The Computational Complexity of Finding a Nash Equilibrium Edith Elkind, U. of Warwick.
Computing Equilibria Christos H. Papadimitriou UC Berkeley “christos”
6.896: Topics in Algorithmic Game Theory Spring 2010 Constantinos Daskalakis vol. 1:
Simple search methods for finding a Nash equilibrium Ryan Porter, Eugene Nudelman, and Yoav Shoham Games and Economic Behavior, Vol. 63, Issue 2. pp ,
Computational aspects of stability in weighted voting games Edith Elkind (NTU, Singapore) Based on joint work with Leslie Ann Goldberg, Paul W. Goldberg,
Minimax strategies, Nash equilibria, correlated equilibria Vincent Conitzer
Game representations, solution concepts and complexity Tuomas Sandholm Computer Science Department Carnegie Mellon University.
A quantum protocol for sampling correlated equilibria unconditionally and without a mediator Iordanis Kerenidis, LIAFA, Univ Paris 7, and CNRS Shengyu.
The Computational Complexity of Finding Nash Equilibria Edith Elkind Intelligence, Agents, Multimedia group (IAM) School of Electronics and CS U. of Southampton.
Nash Equilibria In Graphical Games On Trees Revisited Edith Elkind Leslie Ann Goldberg Paul Goldberg (University of Warwick) (To appear in ACM EC’06)
Small clique detection and approximate Nash equilibria Danny Vilenchik UCLA Joint work with Lorenz Minder.
6.853: Topics in Algorithmic Game Theory Fall 2011 Constantinos Daskalakis Lecture 11.
The Science of Networks 6.1 Today’s topics Game Theory Normal-form games Dominating strategies Nash equilibria Acknowledgements Vincent Conitzer, Michael.
6.896: Topics in Algorithmic Game Theory Lecture 10 Constantinos Daskalakis.
Networks and Games Christos H. Papadimitriou UC Berkeley christos.
Complexity of Determining Nonemptiness of the Core Vincent Conitzer, Tuomas Sandholm Computer Science Department Carnegie Mellon University.
6.853: Topics in Algorithmic Game Theory Fall 2011 Constantinos Daskalakis Lecture 10.
Ásbjörn H Kristbjörnsson1 The complexity of Finding Nash Equilibria Ásbjörn H Kristbjörnsson Algorithms, Logic and Complexity.
1 What is Game Theory About? r Analysis of situations where conflict of interests is present r Goal is to prescribe how conflicts can be resolved 2 2 r.
Algorithms for solving two-player normal form games
Algorithmic Game Theory & Machine Learning Christos Papadimitriou.
Unique Games Approximation Amit Weinstein Complexity Seminar, Fall 2006 Based on: “Near Optimal Algorithms for Unique Games" by M. Charikar, K. Makarychev,
Vasilis Syrgkanis Cornell University
1 Algorithms for Computing Approximate Nash Equilibria Vangelis Markakis Athens University of Economics and Business.
MAIN RESULT: We assume utility exhibits strategic complementarities. We show: Membership in larger k-core implies higher actions in equilibrium Higher.
6.853: Topics in Algorithmic Game Theory Fall 2011 Constantinos Daskalakis Lecture 8.
Parameterized Two-Player Nash Equilibrium Danny Hermelin, Chien-Chung Huang, Stefan Kratsch, and Magnus Wahlstrom..
6.853: Topics in Algorithmic Game Theory Fall 2011 Constantinos Daskalakis Lecture 9.
6.853: Topics in Algorithmic Game Theory Fall 2011 Constantinos Daskalakis Lecture 12.
A useful reduction (SAT -> game)
A useful reduction (SAT -> game)
Lecture 6: Other Game Models and Solution Concepts
Presented By Aaron Roth
CPS Extensive-form games
Vincent Conitzer Extensive-form games Vincent Conitzer
Normal Form (Matrix) Games
Presentation transcript:

Computing Equilibria Christos H. Papadimitriou UC Berkeley “christos”

geneva, feb ,-1-1,1 1,-1 0,00,00,10,1 1,01,0-1,-1 3,33,30,40,4 4,04,01,11,1 matching penniesprisoner’s dilemmachicken Games help us understand rational behavior in competitive situations

geneva, feb Concepts of rationality Nash equilibrium (or double best response) Problem: may not exist Idea: randomized Nash equilibrium Theorem [Nash 1951]: Always exists

geneva, feb can it be found in polynomial time?

geneva, feb is it then NP-complete? No, because a solution always exists

geneva, feb …and why bother? (a parenthesis) Equilibrium concepts provide some of the most intriguing specimens of problems They are notions of rationality, aspiring models of behavior Efficient computability is an important modeling prerequisite “if your laptop can’t find it, then neither can the market…”

geneva, feb Brouwer  Nash

geneva, feb Complexity? Nash’s existence proof relies on Brouwer’s fixpoint theorem Finding a Brouwer fixpoint is a hard problem Not quite NP-complete, but as hard as any problem that always has an answer can be… Technical term: PPAD-complete [P 1991]

geneva, feb Complexity? (cont.) But how about Nash? Is it as hard as Brouwer? Or are the Brouwer functions constructed in the proof specialized enough so that fixpoints can be computed? (cf contraction maps)

geneva, feb Correlated equilibrium 4,44,41,51,5 5,15,10,00,0 Chicken: Two pure equilibria {me, you} Mixed (½, ½) (½, ½) payoff 5/2

geneva, feb Idea (Aumann 1974) “Traffic signal” with payoff 3 Compare with Nash equilibrium Even better with payoff 3 1/3 0½ ½0 1/4 1/3 0 Probabilities in a lottery drawn by an impartial outsider, and announced to each player separately

geneva, feb Correlated equilibria Always exist (Nash equilibria are examples) Can be found (and optimized over) efficiently by linear programming

geneva, feb Linear programming? A variable x(s) for each box s Each player does not want to deviate from the signal’s recommendation – assuming that the others will play along For every player i and any two rows of boxes s, s':

geneva, feb Linear programming! n players, s strategies each ns 2 inequalites s n variables! Nice for 2 or 3 players But many players?

geneva, feb The embarrassing subject of many players With games we are supposed to model markets and the Internet These have many players To describe a game with n players and s strategies per player you need ns n numbers

geneva, feb The embarrassing subject of many players (cont.) These important games cannot require astronomically long descriptions “if your problem is important, then its input cannot be astronomically long…” Conclusion: Many interesting games are 1.multi-player 2.succinctly representable

geneva, feb e.g., Graphical Games [Kearns et al. 2002] Players are vertices of a graph, each player is affected only by his/her neighbors If degrees are bounded by d, ns d numbers suffice to describe the game Also: multimatrix, congestion, location, anonymous, hypergraphical, …

geneva, feb Surprise! Theorem: A correlated equilibrium in a succinct game can be found in polynomial time provided the utility expectation over mixed strategies can be computed in polynomial time. Corollaries: All succinct games in the literature

geneva, feb U need to show dual is infeasible show it is unbounded

geneva, feb Lemma [Hart and Schmeidler, 89]: and in fact, x is the product of the steady-state distributions of the Markov chains implied by y hence: run “ellipsoid against hope”

geneva, feb These k inequalities are themselves infeasible!

geneva, feb infeasible also infeasible UX T just need to solve

geneva, feb as long as we can solve… given a succinct representation of a game, and a product distribution x, find the expected utility of a player, in polynomial time.

geneva, feb And it so happens that… …in all known cases, this problem can be solved by applying one, two, or all three of the following tricks: Explicit enumeration Dynamic programming Linearity of expectation

geneva, feb Corollaries: Graphical games (on any graph!) Polymatrix games Hypergraphical games Congestion games and local effect games Facility location games Anonymous games Etc…

geneva, feb Nash complexity, summary 2-Nash  3-Nash  4-Nash  …  k-Nash  … 1-GrNash  2-GrNash  3-GrNash  …  d-GrNash  … ||| Theorem (with Paul Goldberg, 2005): All these problems are equivalent

geneva, feb From d-graphical games to d 2 -normal-form games Color the graph with d 2 colors No two vertices affecting the same vertex have the same color Each color class is represented by a single player who randomizes among vertices, strategies So that vertices are not “neglected:” generalized matching pennies

geneva, feb From k-normal-form games to graphical games Idea: construct special, very expressive graphical games Our vertices will have 2 strategies each Mixed strategy = a number in [0,1] (= probability vertex plays strategy 1) Basic trick: Games that do arithmetic!

geneva, feb “Multiplication is the name of the game and each generation plays the same…”

geneva, feb The multiplication game x y z = x · y “affects” w if w plays 0, then it gets x  y. if it plays 1, then it gets z, but z gets punished z wins when it plays 1 and w plays 0

geneva, feb From k-normal-form games to 3-graphical games (cont.) At any Nash equilibrium, z = x  y Similarly for +, -, “brittle comparison” Construct graphical game that checks the equilibrium conditions of the normal form game Nash equilibria in the two games coincide

geneva, feb Finally, 4 players Previous reduction creates a bipartite graph of degree 3 Carefully simulate each side by two players, refining the previous reduction

geneva, feb Nash complexity, summary 2-Nash  3-Nash  4-Nash  …  k-Nash  … 1-GrNash  2-GrNash  3-GrNash  …  d-GrNash  … ||| Theorem (with Paul Goldberg, 2005): All these problems are equivalent Theorem (with Costas Daskalakis and Paul Goldberg, 2005): …and PPAD-complete

geneva, feb Nash is PPAD-complete Proof idea: Start from a PPAD-complete stylized version of Brouwer on the 3D cube Use arithmetic games to compute Brouwer functions Brittle comparator problem solved by averaging

geneva, feb Recall: Nash’s theorem reduces Nash to Brouwer This is a reduction in the opposite direction

geneva, feb Brouwer  Nash So….

geneva, feb Open problems Conjecture 1: 3-player Nash is also PPAD-complete Conjecture 2: 2-player Nash can be found in polynomial time Approximate equilibria? [cf. Lipton and Markakis 2003]

geneva, feb In November… Conjecture 1: 3-player Nash is also PPAD-complete Proved!! [Chen&Deng05, DP05]

geneva, feb In December… Conjecture 2: 2-player Nash is in P PPAD-complete [Chen&Deng05b]

geneva, feb game over!