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CORR
2010
Springer
187views Education» more  CORR 2010»
13 years 8 months ago
Learning in A Changing World: Non-Bayesian Restless Multi-Armed Bandit
We consider the restless multi-armed bandit (RMAB) problem with unknown dynamics. In this problem, at each time, a player chooses K out of N (N > K) arms to play. The state of ...
Haoyang Liu, Keqin Liu, Qing Zhao
ICASSP
2011
IEEE
12 years 11 months ago
Logarithmic weak regret of non-Bayesian restless multi-armed bandit
Abstract—We consider the restless multi-armed bandit (RMAB) problem with unknown dynamics. At each time, a player chooses K out of N (N > K) arms to play. The state of each ar...
Haoyang Liu, Keqin Liu, Qing Zhao
TIDSE
2004
Springer
14 years 1 months ago
Transferring Game Mastering Laws to Interactive Digital Storytelling
The Interactive Dilemma is the inevitable conflict between author’s determinism and interactor’s freedom. There are some approaches that try to tackle it, using strategies and...
Federico Peinado, Pablo Gervás
AUSDM
2006
Springer
157views Data Mining» more  AUSDM 2006»
13 years 11 months ago
Safely Delegating Data Mining Tasks
Data mining is playing an important role in decision making for business activities and governmental administration. Since many organizations or their divisions do not possess the...
Ling Qiu, Kok-Leong Ong, Siu Man Lui
IDEAL
2000
Springer
13 years 11 months ago
Combining Ordinal Financial Predictions with Genetic Programming
Abstract. Ordinal data play an important part in financial forecasting. For example, advice from expert sources may take the form of "bullish", "bearish" or &qu...
Edward P. K. Tsang, Jin Li