Concept

Evolutionarily stable strategy

Related publications (120)

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

Stable self-similar blowup in energy supercritical Yang-Mills theory

Roland Donninger

We consider the Cauchy problem for an energy supercritical nonlinear wave equation that arises in -dimensional Yang-Mills theory. A certain self-similar solution of this model is conjectured to act as an attractor for generic large data evolutions. Assumin ...

Springer Verlag2014

Multi-objective Optimization of a Rectisol® Process

François Maréchal, Emanuele Martelli, Manuele Gatti

This work focuses on the design, simulation and optimization of a Rectisol®-based process tailored for the selective removal of H2S and CO2 from gasification derived synthesis gas. Such task is quite challenging due to the need of addressing simultaneously ...

Elsevier2014

Buy-It-Now or Take-a-Chance: Price Discrimination Through Randomized Auctions

Laura Elisa Celis

Increasingly detailed consumer information makes sophisticated price discrimination possible. At fine levels of aggregation, demand may not obey standard regularity conditions. We propose a new randomized sales mechanism for such environments. Bidders can ...

Informs2014

Evolutionally dynamic L1 regulation in embryonic stem cells

Didier Trono, Priscilla Turelli, Julien Léonard Duc, Marc Samuel Friedli, Adamantia Kapopoulou, Gabriela Ecco, Andrea Coluccio, Suk Min Jang

Mobile elements are important evolutionary forces that challenge genomic integrity. Long interspersed element-1 (L1, also known as LINE-1) is the only autonomous transposon still active in the human genome. It displays an unusual pattern of evolution, with ...

Cold Spring Harbor Lab Press, Publications Dept2014

A Continuum of Commitment

Thomas Alois Weber

We examine a generic three-stage game for two players with alternating moves, where the first player can choose the level of adjustment cost to be paid in the last period for modifying the action she announced in the first period. In the resulting continuu ...

EPFL CDM MTEI2013

A Bayesian mean field game approach to supply demand analysis of the smart grid

Maryam Kamgarpour

We explore a game theoretic framework for multiple energy producers competing in energy market. Each producer, referred to as a player, optimizes its own objective function given the demand utility. The equilibrium strategy of each player depends on the pr ...

IEEE2013

Multi-Agent Learning for Resource Allocation Problems

Ludek Cigler

We analyze resource allocation problems where N independent agents want to access C resources. Each resource can be only accessed by one agent at a time. In order to use the resources efficiently, the agents need to coordinate their access. We focus on dec ...

EPFL2013

Non-Cooperative Location Privacy

Jean-Pierre Hubaux, Julien Freudiger, David C. Parkes

In mobile networks, authentication is a required primitive for most security protocols. Unfortunately, an adversary can monitor pseudonyms used for authentication to track the location of mobile nodes. A frequently proposed solution to protect location pri ...

Ieee Computer Soc2013

Decentralized Anti-coordination Through Multi-agent Learning

Boi Faltings, Ludek Cigler

To achieve an optimal outcome in many situations, agents need to choose distinct actions from one another. This is the case notably in many resource allocation problems, where a single resource can only be used by one agent at a time. How shall a designer ...

AI Access Foundation2013

Transfer in Inverse Reinforcement Learning for Multiple Strategies

Aude Billard, Ajay Kumar Tanwani

We consider the problem of incrementally learning different strategies of performing a complex sequential task from multiple demonstrations of an expert or a set of experts. While the task is the same, each expert differs in his/her way of performing it. W ...

2013