28 citations · 29 across the 4 of their papers we have counts for
4 papers
Reinforcement learning in signaling game
Yilei Hu, Brian Skyrms, Pierre Tarrès
We consider a signaling game originally introduced by Skyrms, which models how two interacting players learn to signal each other and thus create a common language. The first rigor…
Time to absorption in discounted reinforcement models
Robin Pemantle, Brian Skyrms
Reinforcement schemes are a class of non-Markovian stochastic processes. Their non-Markovian nature allows them to model some kind of memory of the past. One subclass of such model…
Network formation by reinforcement learning: the long and medium run
Robin Pemantle, Brian Skyrms
We investigate a simple stochastic model of social network formation by the process of reinforcement learning with discounting of the past. In the limit, for any value of the disco…
A Dynamic Model of Social Network Formation
Brian Skyrms, Robin Pemantle
We consider a dynamic social network model in which agents play repeated games in pairings determined by a stochastically evolving social network. Individual agents begin to intera…