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JCP
2008
139views more  JCP 2008»
14 years 9 months ago
Agent Learning in Relational Domains based on Logical MDPs with Negation
In this paper, we propose a model named Logical Markov Decision Processes with Negation for Relational Reinforcement Learning for applying Reinforcement Learning algorithms on the ...
Song Zhiwei, Chen Xiaoping, Cong Shuang
CORR
2010
Springer
98views Education» more  CORR 2010»
14 years 9 months ago
Structure-Aware Stochastic Control for Transmission Scheduling
In this report, we consider the problem of real-time transmission scheduling over time-varying channels. We first formulate the transmission scheduling problem as a Markov decisio...
Fangwen Fu, Mihaela van der Schaar
JDCTA
2010
146views more  JDCTA 2010»
14 years 4 months ago
Modelling for Cruise Two-Dimensional Online Revenue Management System
To solve the cruise two-dimensional revenue management problem and develop such an automated system under uncertain environment, a static model which is a stochastic integer progr...
Bingzhou Li
AIPS
2007
14 years 12 months ago
Learning to Plan Using Harmonic Analysis of Diffusion Models
This paper summarizes research on a new emerging framework for learning to plan using the Markov decision process model (MDP). In this paradigm, two approaches to learning to plan...
Sridhar Mahadevan, Sarah Osentoski, Jeffrey Johns,...
ATAL
2007
Springer
15 years 3 months ago
A framework for agent-based distributed machine learning and data mining
This paper proposes a framework for agent-based distributed machine learning and data mining based on (i) the exchange of meta-level descriptions of individual learning processes ...
Jan Tozicka, Michael Rovatsos, Michal Pechoucek