113 search results - page 4 / 23 » Predictive state representations with options |
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ATAL
2010
Springer
15 years 23 days ago
2010
Springer
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 ...
AAAI
2007
15 years 2 months ago
2007
IJCAI
2007
15 years 1 months ago
2007
NIPS
2007
15 years 1 months ago
2007
ICML
2009
IEEE
16 years 14 days ago
2009
IEEE
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...