Evolution in games with a continuous action space

نویسندگان

  • Matthijs van Veelen
  • Peter Spreij
  • M. van Veelen
  • P. Spreij
چکیده

Allowing for games with a continuous action space, we investigate how evolutionary stability, the existence of a uniform invasion barrier, local superiority and asymptotic stability relate to each other. This is done without restricting the populations of which we want to investigate the stability to monomorphic population states or to strategies with finite support.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Stochastic fictitious play with continuous action sets

Continuous action space games form a natural extension to normal form games with finite action sets. However, whilst learning dynamics in normal form games are now well studied, it is not until recently that their continuous action space counterparts have been examined. We extend stochastic fictitious play to the continuous action space framework. In normal form games the limiting behaviour of ...

متن کامل

The Effects of Computer-based Educational Games on Self-efficacy of 8-12 Children with Hemophilia

Background: Hemophilia is a chronic bleeding disease and can interfere with daily performance of children. These children require continuous training to prevent bleeding. Since children nurses play an important role in the education of sick children and their self-efficacy and the increase use of educational computer games, the use of educational games for teaching self-efficacy to children wit...

متن کامل

Handling Continuous Space Security Games with Neural Networks

Despite significant research in Security Games, limited efforts have been made to handle game domains with continuous space. Addressing such limitations, in this paper we propose: (i) a continuous space security game model that considers infinitesize action spaces for players; (ii) OptGradFP, a novel and general algorithm that searches for the optimal defender strategy in a parametrized search ...

متن کامل

Mulitagent Reinforcement Learning in Stochastic Games with Continuous Action Spaces

We investigate the learning problem in stochastic games with continuous action spaces. We focus on repeated normal form games, and discuss issues in modelling mixed strategies and adapting learning algorithms in finite-action games to the continuous-action domain. We applied variable resolution techniques to two simple multi-agent reinforcement learning algorithms PHC and MinimaxQ. Preliminary ...

متن کامل

Policy Learning for Continuous Space Security Games using Neural Networks

A wealth of algorithms centered around (integer) linear programming have been proposed to compute equilibrium strategies in security games with discrete states and actions. However, in practice many domains possess continuous state and action spaces. In this paper, we consider a continuous space security game model with infinite-size action sets for players and present a novel deep learning bas...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2017