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Correlated equilibria of two person repeated games with random signals

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Abstract

In this work we extend a result of Lehrer (Math Oper Res 17(1):175–199, 1992a) characterising the correlated equilibrium payoffs in undiscounted two player repeated games with partial monitoring to the case in which the signals are permitted to be stochastic. In particular, we develop appropriate versions of Lehrer’s concepts of “indistinguishable” and “more informative.” We also show that any individually rational payoff associated with a (correlated) distribution on pure action profiles in the stage game such that neither player can profitably deviate from one of his actions to another that is indistinguishable and more informative is the payoff of a correlated equilibrium of the infinitely repeated game.

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Notes

  1. A version of this paper containing a somewhat more detailed version of the proof of Mertens et al. (2015) with some minor modifications to make clear that it does not depend on the assumption of nonstochastic signalling is available from the first author.

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Correspondence to John Hillas.

Additional information

We are most grateful to the late Jean-François Mertens who initially suggested the question examined in this paper to Min Liu and who told us the ideas behind much of the analysis. We are also grateful to Abraham Neyman and Sylvain Sorin for comments during various stages of this work. The comments of two referees and an associate editor were also very helpful, particularly, but not exclusively, with regard to the literature since we originally wrote this paper. J. Hillas was privileged to be colleagues with Abraham Neyman for a good period of time at the beginning of his academic career. He was treated with great kindness by Abraham and learned a great deal from him, both about game theory and about what it meant to be an academic. He didn’t always take as much advantage of the opportunities that Abraham offered him as he should have. He is glad to humbly offer this paper to the special issue of the International Journal of Game Theory in honour of Abraham.

Appendix: The approachability theorem

Appendix: The approachability theorem

In this appendix we give some of the basic results concerning matrix games with vector payoffs. The results are due to Blackwell (1956) and our treatment follows (in a less general setting) that of Mertens et al. (2015).

As before we consider a finite stage game with pure action sets \(S^1\) and \(S^2\) and mixed action sets \(X^1\) and \(X^2\). Rather than having a payoff associated with each pair of actions we assume that there is a function \(\varphi \) from \(S=S^1 \times S^2\) to the set of probability distributions over some finite subset of \({\mathbb R}^k\). The game is played more or less as before. At each stage n player i chooses an action in \(S^i\) and then a point \(g_n\) is chosen at random according to \(\varphi (s^1_n,s^2_n)\). Both players then obtain some signal that reveals for player 1, at least, \(g_n\). We let \(\bar{g}_n = \frac{1}{n}\sum _{t=1}^n g_t\).

Definition 11

(Approachable) A set C in \({\mathbb R}^k\) is said to be approachable by player 1 if there is a strategy for player 1 in the infinitely repeated game for which \(d(\bar{g}_n,C)\) converges to zero almost surely.

Let \(f(s^1,s^2)\) be the expected value of \(\varphi (s^1,s^2)\) and for any \(x^1\) in \(X^1\) let \(Z(x^1)\) be the convex hull of the points in \(\{\sum _{s^1\in S^1} x^1(s^1)f(s^1,s^2) \mid s^2 \in S^2\}\).

Theorem 3

(The approachability theorem) Let C be any closed set in \({\mathbb R}^k\). Suppose that for any g not in C there is \(x^1\) \(({=}x^1(g))\) in \(X^1\) such that the hyperplane through h(g) a closest point in C to g perpendicular to the line segment between g and h(g) separates g from \(Z(x^1(g))\). Then C is approachable by player 1 using strategy \(\sigma ^1(\cdot ),\) a strategy depending on the history only through \(\bar{g}_n\) where

$$\begin{aligned} \sigma ^1(\bar{g}_n) ={\left\{ \begin{array}{ll} x^1(\bar{g}_n) &{}\quad \text {if } n>0 \text { and } \bar{g}_n \not \in C, \\ \text {arbitrary} &{}\quad \text {otherwise}. \end{array}\right. } \end{aligned}$$

With that strategy, 

$$\begin{aligned} E(d(\bar{g}_n,C)^2) \le 4K/n \end{aligned}$$
(1)

and

$$\begin{aligned} P\left( \sup _{n \ge N} d(\bar{g}_n,C)\ge \varepsilon \right) \le 8K/(\varepsilon ^2 N). \end{aligned}$$
(2)

where K is a bound on the second order moments of \(\varphi (s^1,s^2)\) for all \(s^1\) and \(s^2\).

We need, in fact, only one relatively simple implication of the approachability theorem.

Corollary 1

(Mertens et al. 2015, Corollary II.4.4) For any \(x^1\) in \(X^1\) the set \(Z(x^1)\) is approachable by player 1 using the constant strategy \(\sigma ^1(\cdot )=x^1.\) And,  again,  with this strategy inequalities (1) and (2) hold.

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Hillas, J., Liu, M. Correlated equilibria of two person repeated games with random signals. Int J Game Theory 45, 137–153 (2016). https://doi.org/10.1007/s00182-015-0495-5

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