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ATAL
2010
Springer

171views Intelligent Agents» more ATAL 2010»

Closing the learning-planning loop with predictive state representations

14 years 10 months ago

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A central problem in artificial intelligence is to choose actions to maximize reward in a partially observable, uncertain environment. To do so, we must learn an accurate model of ...

Byron Boots, Sajid M. Siddiqi, Geoffrey J. Gordon

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AAAI
2007

95views Intelligent Agents» more AAAI 2007»

Abstraction in Predictive State Representations

14 years 12 months ago

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Vishal Soni, Satinder P. Singh

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IJCAI
2007

162views Artificial Intelligence» more IJCAI 2007»

Grounding Abstractions in Predictive State Representations

14 years 11 months ago

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Brian Tanner, Vadim Bulitko, Anna Koop, Cosmin Pad...

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NIPS
2007

109views Information Technology» more NIPS 2007»

Exponential Family Predictive Representations of State

14 years 11 months ago

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David Wingate, Satinder Singh Baveja

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ICML
2009
IEEE

143views Machine Learning» more ICML 2009»

Proto-predictive representation of states with simple recurrent temporal-difference networks

15 years 10 months ago

Download www.snowelm.com

We propose a new neural network architecture, called Simple Recurrent Temporal-Difference Networks (SR-TDNs), that learns to predict future observations in partially observable en...

Takaki Makino

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