44 search results - page 2 / 9 » Robot reinforcement learning using EEG-based reward signals |
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ATAL
2010
Springer
14 years 10 months ago
2010
Springer
As learning agents move from research labs to the real world, it is increasingly important that human users, including those without programming skills, be able to teach agents de...
ECAL
2007
Springer
15 years 3 months ago
2007
Springer
Abstract. The paper presents a method to guide the self-organised development of behaviours of autonomous robots. In earlier publications we demonstrated how to use the homeokinesi...
ROMAN
2007
IEEE
15 years 3 months ago
2007
IEEE
—This paper proposes a novel method of learning a users preferred reward modalities for human-robot interaction through solving a cooperative training task. A learning algorithm ...
SOCROB
2010
2010
Using the Interaction Rhythm as a Natural Reinforcement Signal for Social Robots: A Matter of Belief
14 years 8 months ago
Abstract. In this paper, we present the results of a pilot study of a human robot interaction experiment where the rhythm of the interaction is used as a reinforcement signal to le...
FLAIRS
2003
14 years 11 months ago
2003
1 Reinforcement learning has become a widely used methodology for creating intelligent agents in a wide range of applications. However, its performance deteriorates in tasks with s...