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» A Bayesian Framework for Reinforcement Learning
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ICML
2007
IEEE
14 years 9 months ago
Reinforcement learning by reward-weighted regression for operational space control
Many robot control problems of practical importance, including operational space control, can be reformulated as immediate reward reinforcement learning problems. However, few of ...
Jan Peters, Stefan Schaal
FGR
1996
IEEE
119views Biometrics» more  FGR 1996»
14 years 22 days ago
A probabilistic framework for perceptual grouping of features for human face detection
Present approaches to human face detection have made several assumptions that restrict their ability to be extended to general imaging conditions. We identify that the key factori...
Kin Choong Yow, Roberto Cipolla
ATAL
2008
Springer
13 years 10 months ago
Sequential decision making with untrustworthy service providers
In this paper, we deal with the sequential decision making problem of agents operating in computational economies, where there is uncertainty regarding the trustworthiness of serv...
W. T. Luke Teacy, Georgios Chalkiadakis, Alex Roge...
AIHC
2007
Springer
14 years 2 months ago
Emotion and Reinforcement: Affective Facial Expressions Facilitate Robot Learning
Computer models can be used to investigate the role of emotion in learning. Here we present EARL, our framework for the systematic study of the relation between emotion, adaptation...
Joost Broekens
KCAP
2009
ACM
14 years 3 months ago
Interactively shaping agents via human reinforcement: the TAMER framework
As computational learning agents move into domains that incur real costs (e.g., autonomous driving or financial investment), it will be necessary to learn good policies without n...
W. Bradley Knox, Peter Stone