Add to ORKGIn this paper we discuss how agents can learn to do things by imitating other agents. Especially we look at how the use of different metrics and sub-goal granularity can affect the imitation results. We use a computer model of a chess world as a test-bed to also illustrate issues that arise when there is dissimilar embodiment between the demonstrator and the imitator agents
Context. Developing an Artificial Intelligence (AI) agent that canpredict and act in all possible si...
Currently, imitation, or performing an act after perceiving it, is in the focus of attention of rese...
Many existing imitation learning datasets are collected from multiple demonstrators, each with diffe...
In this paper we discuss how agents can learn to do things by imitating other agents. Especially we ...
In this document we present computer simulation experiments on goal level imitation. We investigate ...
Original paper can be found at: www.aisb.org.uk/publications/proceedings/aisb05/3_Imitation_Final.pd...
Interactive behavior of biological agents represents an important area in life as we know it. Behavi...
Thurau C, Bauckhage C, Sagerer G. Imitation learning at all levels of game-AI. In: Proc. Int. Conf....
Original article can be found at: http://www.informaworld.com/smpp/title~content=t713722751 Copyrigh...
This paper addresses the construction and learning of behavior through imitation. We explore imitati...
Imitation is a powerful mechanism the human brain applies to extend its repertoire of solutions and ...
Imitation is an example of social learning in which an individual observes and copies another's acti...
Imitation learning techniques aim to mimic human behavior in a given task. An agent (a learning mach...
Imitation learning is a powerful mechanism used by humans and other creatures. In imitation learning...
We model a learning dynamic in which players imitate and innovate. Of interest is to question wheth...
Context. Developing an Artificial Intelligence (AI) agent that canpredict and act in all possible si...
Currently, imitation, or performing an act after perceiving it, is in the focus of attention of rese...
Many existing imitation learning datasets are collected from multiple demonstrators, each with diffe...
In this paper we discuss how agents can learn to do things by imitating other agents. Especially we ...
In this document we present computer simulation experiments on goal level imitation. We investigate ...
Original paper can be found at: www.aisb.org.uk/publications/proceedings/aisb05/3_Imitation_Final.pd...
Interactive behavior of biological agents represents an important area in life as we know it. Behavi...
Thurau C, Bauckhage C, Sagerer G. Imitation learning at all levels of game-AI. In: Proc. Int. Conf....
Original article can be found at: http://www.informaworld.com/smpp/title~content=t713722751 Copyrigh...
This paper addresses the construction and learning of behavior through imitation. We explore imitati...
Imitation is a powerful mechanism the human brain applies to extend its repertoire of solutions and ...
Imitation is an example of social learning in which an individual observes and copies another's acti...
Imitation learning techniques aim to mimic human behavior in a given task. An agent (a learning mach...
Imitation learning is a powerful mechanism used by humans and other creatures. In imitation learning...
We model a learning dynamic in which players imitate and innovate. Of interest is to question wheth...
Context. Developing an Artificial Intelligence (AI) agent that canpredict and act in all possible si...
Currently, imitation, or performing an act after perceiving it, is in the focus of attention of rese...
Many existing imitation learning datasets are collected from multiple demonstrators, each with diffe...