While payoff-based learning models are almost exclusively devised for finite action games, where players can test every action, it is harder to design such learning processes for continuous games. We construct a stochastic learning rule, designed for games with continuous action sets, which...

While payoff‐based learning models are almost exclusively devised for finite action games, where players can test every action, it is harder to design such learning processes for continuous games. We construct a stochastic learning rule, designed for games with continuous action sets, which...

Consider a 2-player normal-form game repeated over time. We introduce an adaptive learning procedure, where the players only observe their own realized payoff at each stage. We assume that agents do not know their own payoff function, and have no information on the other player. Furthermore, we...

This paper provides a game-theoretical analysis of the use by athletes of performance-enhancing drugs. We focus on a two-player game where players are heterogeneous and performances are subject to uncertainty. While the standard setup assumes these drugs increase maximum performances, we assume...

This paper provides a game-theoretical analysis of the use by athletes of performance-enhancing drugs. We focus on a two-player game where players are heterogeneous and performances are subject to uncertainty. While the standard setup assumes these drugs increase maximum performances, we assume...

Although the number of reported cases of HIV in Central Asia is still very low, the growth rate of the epidemic (about 500 cases in 2000 to over 12,000 in 2004) is a cause for serious concern. Central Asia lies along the drug routes from Afghanistan to Russia and Western Europe, and it is...