Keepaway soccer is a challenging robot control task that has been widely used as a benchmark for evaluating multi-agent learning systems. The majority of research in this domain has been from the perspective of reinforcement learning (function approximation) and neuroevolution. One of the challenges under multi-agent tasks such as keepaway is to formulate effective mechanisms for diversity maintenance. Indeed the best results to date on this task utilize some form of neuroevolution with genotypic diversity. In this work, a symbiotic framework for evolving teams of programs is utilized with both genotypic and behavioural forms of diversity maintenance considered. Specific contributions of this work include a simple scheme for characterizing ...
This dissertation evaluates evolutionary methods for evolving cooperative teams of robots. Cooperati...
Behavioural diversity has been demonstrated as beneficial in biological social systems, such as ins...
This paper examines measures of diversity in genetic programming. The goal is to understand the impo...
This study investigates the impact of genotypic and behavioral diversity maintenance methods on cont...
We consider the problem of incremental transfer of behaviors in a multi-agent learning test bed (kee...
This paper describes research investigating behavioral specialization in learning robot teams. Each ...
The goal of this study is to investigate the role of genetic diversity for engineering more resilien...
Some problems can be solved only by multi–agent teams. In using genetic programming to produce such ...
In many cases cooperation between robots is implemented using explicit, perhaps complex, coordinatio...
Evolutionary Robotics (ER) aims at automatically designing robots or controllers of robots without h...
Genetic Algorithms is a computational model inspired by Darwin's theory of evolution. It has a broad...
Abstract. Easy missions approaches to machine learning seek to synthesize solutions for complex task...
In this paper we propose a new diversity measure based on the correlation of bit strings for the ana...
This study compares two different evolutionary approaches (clonal and aclonal) to the design of homo...
We introduce a cooperative co--evolutionary system to facilitate the development of teams of heterog...
This dissertation evaluates evolutionary methods for evolving cooperative teams of robots. Cooperati...
Behavioural diversity has been demonstrated as beneficial in biological social systems, such as ins...
This paper examines measures of diversity in genetic programming. The goal is to understand the impo...
This study investigates the impact of genotypic and behavioral diversity maintenance methods on cont...
We consider the problem of incremental transfer of behaviors in a multi-agent learning test bed (kee...
This paper describes research investigating behavioral specialization in learning robot teams. Each ...
The goal of this study is to investigate the role of genetic diversity for engineering more resilien...
Some problems can be solved only by multi–agent teams. In using genetic programming to produce such ...
In many cases cooperation between robots is implemented using explicit, perhaps complex, coordinatio...
Evolutionary Robotics (ER) aims at automatically designing robots or controllers of robots without h...
Genetic Algorithms is a computational model inspired by Darwin's theory of evolution. It has a broad...
Abstract. Easy missions approaches to machine learning seek to synthesize solutions for complex task...
In this paper we propose a new diversity measure based on the correlation of bit strings for the ana...
This study compares two different evolutionary approaches (clonal and aclonal) to the design of homo...
We introduce a cooperative co--evolutionary system to facilitate the development of teams of heterog...
This dissertation evaluates evolutionary methods for evolving cooperative teams of robots. Cooperati...
Behavioural diversity has been demonstrated as beneficial in biological social systems, such as ins...
This paper examines measures of diversity in genetic programming. The goal is to understand the impo...