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» Building Relational World Models for Reinforcement Learning
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JAIR
2010
142views more  JAIR 2010»
13 years 6 months ago
Context-based Word Acquisition for Situated Dialogue in a Virtual World
To tackle the vocabulary problem in conversational systems, previous work has applied unsupervised learning approaches on co-occurring speech and eye gaze during interaction to au...
Shaolin Qu, Joyce Yue Chai
SDM
2012
SIAM
282views Data Mining» more  SDM 2012»
11 years 10 months ago
Citation Prediction in Heterogeneous Bibliographic Networks
To reveal information hiding in link space of bibliographical networks, link analysis has been studied from different perspectives in recent years. In this paper, we address a no...
Xiao Yu, Quanquan Gu, Mianwei Zhou, Jiawei Han
AAAI
2008
13 years 10 months ago
Economic Hierarchical Q-Learning
Hierarchical state decompositions address the curse-ofdimensionality in Q-learning methods for reinforcement learning (RL) but can suffer from suboptimality. In addressing this, w...
Erik G. Schultink, Ruggiero Cavallo, David C. Park...
ATAL
2006
Springer
13 years 11 months ago
Efficient agent-based models for non-genomic evolution
Modeling dynamical systems composed of aggregations of primitive proteins is critical to the field of astrobiological science, which studies early evolutionary structures dealing ...
Nachi Gupta, Adrian K. Agogino, Kagan Tumer
AUSDM
2008
Springer
229views Data Mining» more  AUSDM 2008»
13 years 9 months ago
Minors as Miners - Modelling and Evaluating Ontological and Linguistic Learning
Growing up is in large measure learning about the world and our social and linguistic environment. We might call this data mining, although it is far more multimodal and immersive...
David M. W. Powers