Abstract—Coevolution is a natural choice for learning in problem domains where one agent’s behaviour is directly related to the behaviour of other agents. However, there is a known tendency for coevolution to produce mediocre solutions. One of the main reasons for this is cycling, caused by intransitivities among a set of players. In this paper we explore the link between coevolution and games and revisit some of the coevolutionary literature in a games and measurement context. We propose a set of measurements to identify cycling in a population and a new algorithm that tries to minimise cycling in strictly competitive (zero sum) games. We experimentally verify our approach by evolving weighted piece counter value functions to play Othello,...
Abstract—One weakness of coevolutionary algorithms ob-served in knowledge-free learning of strategie...
In this study the hypothesis that zero-sum (i.e strictly competitive) games are more difficult targe...
The series of studies about the convergence or not of the evolutionary strategies of players that us...
One of the central difficulties of coevolutionary methods arises from 'intransitive superiority' - i...
Recent developments cast doubts on the effectiveness of co-evolutionary learning in interactive doma...
One of the central difficulties of coevolutionary methods arises from ‘intransitive superiority ’ –...
This thesis focuses on the fields of evolutionary computation and machine learning. We present Coevo...
This paper investigates the ability of coevolutionary genetic algorithm to solve games. Specifically...
We use coevolutionary genetic algorithms to model the players' learning process in several Cournot m...
ference Learning (CTDL), a novel way of hybridizing co-evolutionary search with reinforcement learni...
Coevolutionary algorithms are plagued with a set of problems re-lated to intransitivity that make it...
[Preprint – this paper has been accepted for presentation at EvoApplications 2015] Abstract Generali...
One problem associated with coevolutionary algorithms is that of forgetting, where one or more previ...
Abstract—This study investigates different methods of learning to play the game of Othello. The main...
The predominant paradigm in evolutionary game theory and more generally online learning in games is ...
Abstract—One weakness of coevolutionary algorithms ob-served in knowledge-free learning of strategie...
In this study the hypothesis that zero-sum (i.e strictly competitive) games are more difficult targe...
The series of studies about the convergence or not of the evolutionary strategies of players that us...
One of the central difficulties of coevolutionary methods arises from 'intransitive superiority' - i...
Recent developments cast doubts on the effectiveness of co-evolutionary learning in interactive doma...
One of the central difficulties of coevolutionary methods arises from ‘intransitive superiority ’ –...
This thesis focuses on the fields of evolutionary computation and machine learning. We present Coevo...
This paper investigates the ability of coevolutionary genetic algorithm to solve games. Specifically...
We use coevolutionary genetic algorithms to model the players' learning process in several Cournot m...
ference Learning (CTDL), a novel way of hybridizing co-evolutionary search with reinforcement learni...
Coevolutionary algorithms are plagued with a set of problems re-lated to intransitivity that make it...
[Preprint – this paper has been accepted for presentation at EvoApplications 2015] Abstract Generali...
One problem associated with coevolutionary algorithms is that of forgetting, where one or more previ...
Abstract—This study investigates different methods of learning to play the game of Othello. The main...
The predominant paradigm in evolutionary game theory and more generally online learning in games is ...
Abstract—One weakness of coevolutionary algorithms ob-served in knowledge-free learning of strategie...
In this study the hypothesis that zero-sum (i.e strictly competitive) games are more difficult targe...
The series of studies about the convergence or not of the evolutionary strategies of players that us...
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