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JMLR
2012
13 years 4 days ago
2012
Contextual bandit learning is a reinforcement learning problem where the learner repeatedly receives a set of features (context), takes an action and receives a reward based on th...
STOC
1993
ACM
15 years 1 months ago
1993
ACM
We analyze algorithms that predict a binary value by combining the predictions of several prediction strategies, called experts. Our analysis is for worst-case situations, i.e., we...
STOC
1997
ACM
15 years 1 months ago
1997
ACM
Abstract. We study online learning algorithms that predict by combining the predictions of several subordinate prediction algorithms, sometimes called “experts.” These simple a...
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ATAL
2006
Springer
15 years 1 months ago
2006
Springer
This paper presents a statistical learning approach to predicting people's bidding behavior in negotiation. Our study consists of multiple 2-player negotiation scenarios wher...
GECCO
2007
Springer
15 years 3 months ago
2007
Springer
The topological properties of a network directly impact the flow of information through a system. For example, in natural populations, the network of inter-individual contacts aff...