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ICMLA
2007
15 years 3 months ago
Control of a re-entrant line manufacturing model with a reinforcement learning approach
This paper presents the application of a reinforcement learning (RL) approach for the near-optimal control of a re-entrant line manufacturing (RLM) model. The RL approach utilizes...
José A. Ramírez-Hernández, Em...
ILP
2007
Springer
15 years 7 months ago
Using Bayesian Networks to Direct Stochastic Search in Inductive Logic Programming
Stochastically searching the space of candidate clauses is an appealing way to scale up ILP to large datasets. We address an approach that uses a Bayesian network model to adaptive...
Louis Oliphant, Jude W. Shavlik
WEA
2005
Springer
91views Algorithms» more  WEA 2005»
15 years 7 months ago
The Necessity of Timekeeping in Adversarial Queueing
We study queueing strategies in the adversarial queueing model. Rather than discussing individual prominent queueing strategies we tackle the issue on a general level and analyze c...
Maik Weinard
DASFAA
2010
IEEE
169views Database» more  DASFAA 2010»
14 years 11 months ago
Fires on the Web: Towards Efficient Exploring Historical Web Graphs
Abstract. Discovery of evolving regions in large graphs is an important issue because it is the basis of many applications such as spam websites detection in the Web, community lif...
Zhenglu Yang, Jeffrey Xu Yu, Zheng Liu, Masaru Kit...
EWRL
2008
15 years 3 months ago
Efficient Reinforcement Learning in Parameterized Models: Discrete Parameter Case
We consider reinforcement learning in the parameterized setup, where the model is known to belong to a parameterized family of Markov Decision Processes (MDPs). We further impose ...
Kirill Dyagilev, Shie Mannor, Nahum Shimkin