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ICML
2006
IEEE
16 years 8 months ago
An analytic solution to discrete Bayesian reinforcement learning
Reinforcement learning (RL) was originally proposed as a framework to allow agents to learn in an online fashion as they interact with their environment. Existing RL algorithms co...
Pascal Poupart, Nikos A. Vlassis, Jesse Hoey, Kevi...
ICML
1995
IEEE
16 years 8 months ago
Learning Policies for Partially Observable Environments: Scaling Up
Partially observable Markov decision processes (pomdp's) model decision problems in which an agent tries to maximize its reward in the face of limited and/or noisy sensor fee...
Michael L. Littman, Anthony R. Cassandra, Leslie P...
CHI
2006
ACM
16 years 7 months ago
Emoticons convey emotions without cognition of faces: an fMRI study
In this paper, we describe the brain activities that are associated with emoticons by using functional MRI (fMRI). In communication over a computer network, we use faces such as c...
Masahide Yuasa, Keiichi Saito, Naoki Mukawa
CHI
2004
ACM
16 years 7 months ago
Pointing without a pointer
We present a method for performing selection tasks based on continuous control of multiple, competing agents who try to determine the user's intentions from their control beh...
John Williamson, Roderick Murray-Smith
ICSE
2004
IEEE-ACM
16 years 7 months ago
Verifying DAML+OIL and Beyond in Z/EVES
Semantic Web, the next generation of Web, gives data well-defined and machine-understandable meaning so that they can be processed by remote intelligent agents cooperatively. Onto...
Jin Song Dong, Chew Hung Lee, Yuan-Fang Li, Hai H....
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