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JMLR
2010
125views more  JMLR 2010»
13 years 2 months ago
Variational methods for Reinforcement Learning
We consider reinforcement learning as solving a Markov decision process with unknown transition distribution. Based on interaction with the environment, an estimate of the transit...
Thomas Furmston, David Barber
GAMEON
2009
13 years 5 months ago
Analysis of User Trajectories Based on Data Distribution and State Transition: a Case Study with a Massively Multiplayer Online
At present, trajectory data, series of coordinate data traversed by moving objects, can be readily obtained due to the advent of positioning technologies. Clustering of trajectori...
Ruck Thawonmas, Junichi Oda, Kuan-Ta Chen
ECOOPW
1994
Springer
13 years 11 months ago
Abstracting Interactions Based on Message Sets
ing Interactions Based on Message Sets Svend Frr 1 and Gul Agha2. 1 Hewlett-Packard Laboratories, 1501 Page Mill Road, Palo Alto, CA 94303 2 University of Illinois, 1304 W. Springf...
Svend Frølund, Gul Agha
GECCO
2006
Springer
156views Optimization» more  GECCO 2006»
13 years 11 months ago
Probabilistic modeling for continuous EDA with Boltzmann selection and Kullback-Leibeler divergence
This paper extends the Boltzmann Selection, a method in EDA with theoretical importance, from discrete domain to the continuous one. The difficulty of estimating the exact Boltzma...
Yunpeng Cai, Xiaomin Sun, Peifa Jia
EDOC
2005
IEEE
14 years 1 months ago
Semantics of UML 2.0 Activity Diagram for Business Modeling by Means of Virtual Machine
— The paper proposes a more formalized definition of UML 2.0 Activity Diagram semantics. A subset of activity diagram constructs relevant for business process modeling is conside...
Valdis Vitolins, Audris Kalnins