English

Infinite-Duration Bidding Games

Logic in Computer Science 2019-06-10 v3 Computer Science and Game Theory

Abstract

Two-player games on graphs are widely studied in formal methods as they model the interaction between a system and its environment. The game is played by moving a token throughout a graph to produce an infinite path. There are several common modes to determine how the players move the token through the graph; e.g., in turn-based games the players alternate turns in moving the token. We study the {\em bidding} mode of moving the token, which, to the best of our knowledge, has never been studied in infinite-duration games. The following bidding rule was previously defined and called Richman bidding. Both players have separate {\em budgets}, which sum up to 11. In each turn, a bidding takes place: Both players submit bids simultaneously, where a bid is legal if it does not exceed the available budget, and the higher bidder pays his bid to the other player and moves the token. The central question studied in bidding games is a necessary and sufficient initial budget for winning the game: a {\em threshold} budget in a vertex is a value t[0,1]t \in [0,1] such that if Player 11's budget exceeds tt, he can win the game, and if Player 22's budget exceeds 1t1-t, he can win the game. Threshold budgets were previously shown to exist in every vertex of a reachability game, which have an interesting connection with {\em random-turn} games -- a sub-class of simple stochastic games in which the player who moves is chosen randomly. We show the existence of threshold budgets for a qualitative class of infinite-duration games, namely parity games, and a quantitative class, namely mean-payoff games. The key component of the proof is a quantitative solution to strongly-connected mean-payoff bidding games in which we extend the connection with random-turn games to these games, and construct explicit optimal strategies for both players.

Keywords

Cite

@article{arxiv.1705.01433,
  title  = {Infinite-Duration Bidding Games},
  author = {Guy Avni and Thomas A. Henzinger and Ventsislav Chonev},
  journal= {arXiv preprint arXiv:1705.01433},
  year   = {2019}
}

Comments

A short version appeared in CONCUR 2017. The paper is accepted to JACM

R2 v1 2026-06-22T19:35:39.534Z