113 search results - page 1 / 23 » Predictive State Temporal Difference Learning |
96
Voted
CORR
2010
Springer
14 years 8 months ago
2010
Springer
We propose a new approach to value function approximation which combines linear temporal difference reinforcement learning with subspace identification. In practical applications...
114
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ICML
1999
IEEE
15 years 10 months ago
1999
IEEE
Excerpted from: Boyan, Justin. Learning Evaluation Functions for Global Optimization. Ph.D. thesis, Carnegie Mellon University, August 1998. (Available as Technical Report CMU-CS-...
76
Voted
ICML
2009
IEEE
15 years 10 months 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...
ICCBR
2010
Springer
15 years 1 months ago
2010
Springer
In this paper we present an approach for reducing the memory footprint requirement of temporal difference methods in which the set of states is finite. We use case-based generaliza...
ICPR
2008
IEEE
15 years 10 months ago
2008
IEEE