83 search results - page 1 / 17 » Psychological models of human and optimal performance in ban... |
86
Voted
COGSR
2011
14 years 4 months ago
2011
In bandit problems, a decision-maker must choose between a set of alternatives, each of which has a fixed but unknown rate of reward, to maximize their total number of rewards ov...
81
Voted
ECML
2005
Springer
15 years 3 months ago
2005
Springer
The multi-armed bandit problem for a gambler is to decide which arm of a K-slot machine to pull to maximize his total reward in a series of trials. Many real-world learning and opt...
102
Voted
LION
2010
Springer
15 years 1 months ago
2010
Springer
Abstract. Algorithm selection is typically based on models of algorithm performance learned during a separate offline training sequence, which can be prohibitively expensive. In r...
NIPS
2008
14 years 11 months ago
2008
We use graphical models and structure learning to explore how people learn policies in sequential decision making tasks. Studies of sequential decision-making in humans frequently...
IADIS
2003
14 years 11 months ago
2003
The contribution of intelligent agents for the human team performance is a challenging problem. This paper introduces a study to help clarifying this issue, starting with the moti...