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» Learning Action Selection Network of Intelligent Agent
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113
Voted
ATAL
2010
Springer
15 years 4 months ago
Basis function construction for hierarchical reinforcement learning
This paper introduces an approach to automatic basis function construction for Hierarchical Reinforcement Learning (HRL) tasks. We describe some considerations that arise when con...
Sarah Osentoski, Sridhar Mahadevan
ECAL
1999
Springer
15 years 7 months ago
Exploiting the Power of Sensory-Motor Coordination
One important implication of embodiment is that, by acting, agents partially determine the sensory patterns they receive from the environment. The motor actions performed by an age...
Stefano Nolfi, Domenico Parisi
116
Voted
ATAL
2011
Springer
14 years 3 months ago
Forgetting through generalisation: a companion with selective memory
This research investigates event generalisation in computational episodic memory for artificial companions. Two studies indicated a preference of a biologically-inspired selectiv...
Mei Yii Lim, Ruth Aylett, Patrícia Amâ...
IAT
2007
IEEE
15 years 10 months ago
Information Sharing in an Agent Organized Network
Coalition formation in social networks consisting of a graph of interdependent agents allows many choices of which task to select and with whom to partner in the social network. N...
Levi Barton, Vicki H. Allan
HIS
2004
15 years 5 months ago
Reinforcement Learning Hierarchical Neuro-Fuzzy Politree Model for Control of Autonomous Agents
: This work presents a new hybrid neuro-fuzzy model for automatic learning of actions taken by agents. The main objective of this new model is to provide an agent with intelligence...
Karla Figueiredo, Marley B. R. Vellasco, Marco Aur...