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AI
1998
Springer
15 years 4 months ago
Model-Based Average Reward Reinforcement Learning
Reinforcement Learning (RL) is the study of programs that improve their performance by receiving rewards and punishments from the environment. Most RL methods optimize the discoun...
Prasad Tadepalli, DoKyeong Ok
SIAMCOMP
1998
86views more  SIAMCOMP 1998»
15 years 4 months ago
Exact Learning of Discretized Geometric Concepts
We first present an algorithm that uses membership and equivalence queries to exactly identify a discretized geometric concept defined by the union of m axis-parallel boxes in d-...
Nader H. Bshouty, Paul W. Goldberg, Sally A. Goldm...
IJACDT
2011
125views more  IJACDT 2011»
14 years 8 months ago
Becoming Creative through Self Observation: A (Second Order) Cybernetic Learning Strategy for the Metaverse
This study wishes to describe some of the key components of an art educational domain entitled ground<c>, which is being developed specifically for three dimensional online ...
Elif E. Ayiter
SODA
2010
ACM
371views Algorithms» more  SODA 2010»
16 years 2 months ago
Online Learning with Queries
The online learning problem requires a player to iteratively choose an action in an unknown and changing environment. In the standard setting of this problem, the player has to ch...
Chao-Kai Chiang, Chi-Jen Lu
CIKM
2009
Springer
15 years 11 months ago
Scalable learning of collective behavior based on sparse social dimensions
The study of collective behavior is to understand how individuals behave in a social network environment. Oceans of data generated by social media like Facebook, Twitter, Flickr a...
Lei Tang, Huan Liu