Unknown

Dataset Information

0

Melioration Learning in Two-Person Games.


ABSTRACT: Melioration learning is an empirically well-grounded model of reinforcement learning. By means of computer simulations, this paper derives predictions for several repeatedly played two-person games from this model. The results indicate a likely convergence to a pure Nash equilibrium of the game. If no pure equilibrium exists, the relative frequencies of choice may approach the predictions of the mixed Nash equilibrium. Yet in some games, no stable state is reached.

SUBMITTER: Zschache J 

PROVIDER: S-EPMC5112854 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature

altmetric image

Publications

Melioration Learning in Two-Person Games.

Zschache Johannes J  

PloS one 20161116 11


Melioration learning is an empirically well-grounded model of reinforcement learning. By means of computer simulations, this paper derives predictions for several repeatedly played two-person games from this model. The results indicate a likely convergence to a pure Nash equilibrium of the game. If no pure equilibrium exists, the relative frequencies of choice may approach the predictions of the mixed Nash equilibrium. Yet in some games, no stable state is reached. ...[more]

Similar Datasets

| S-EPMC3459907 | biostudies-literature
| S-EPMC9744923 | biostudies-literature
| S-EPMC3557065 | biostudies-literature
| S-EPMC7864454 | biostudies-literature
| S-EPMC8606425 | biostudies-literature
| S-EPMC10651118 | biostudies-literature
| S-EPMC6739057 | biostudies-literature
| S-EPMC9802390 | biostudies-literature
| S-EPMC8204245 | biostudies-literature
| S-EPMC8324864 | biostudies-literature