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ATAL
2010
Springer
15 years 3 months ago
Learning multi-agent state space representations
This paper describes an algorithm, called CQ-learning, which learns to adapt the state representation for multi-agent systems in order to coordinate with other agents. We propose ...
Yann-Michaël De Hauwere, Peter Vrancx, Ann No...
PRIMA
2009
Springer
15 years 8 months ago
An Adaptive Agent Model for Emotion Reading by Mirroring Body States and Hebbian Learning
In recent years, the topic of emotion reading has increasingly received attention from researchers in Cognitive Science and Artificial Intelligence. To study this phenomenon, in th...
Tibor Bosse, Zulfiqar A. Memon, Jan Treur
143
Voted
PRICAI
2000
Springer
15 years 5 months ago
Unified Criterion of State Generalization for Reactive Autonomous Agents
Autonomous state generalization problem is a key issue in the research field of behavior learning of reactive agents, and many approaches have been proposed in recent years. Howeve...
Takehisa Yairi, Koichi Hori, Shinichi Nakasuka
111
Voted
ECAL
2005
Springer
15 years 3 months ago
From the Inside Looking Out: Self Extinguishing Perceptual Cues and the Constructed Worlds of Animats
Jakob von Uexk¨ull’s theory of the Umwelt is described and it is used to show how perceptual states can be defined. It is described how perceptual cues are selected over evolut...
Ian Macinnes, Ezequiel A. Di Paolo
140
Voted
PRICAI
2000
Springer
15 years 5 months ago
Generating Hierarchical Structure in Reinforcement Learning from State Variables
This paper presents the CQ algorithm which decomposes and solves a Markov Decision Process (MDP) by automatically generating a hierarchy of smaller MDPs using state variables. The ...
Bernhard Hengst