288 search results - page 18 / 58 » Learning to Play Chess Using Temporal Differences |
193
Voted
ICANN
2010
Springer
15 years 4 months ago
2010
Springer
Abstract. A previous paper [2] presented a model (UCPF-HC) of the hippocampus as a unitary coherent particle filter, which combines the classical hippocampal roles of associative m...
127
Voted
CG
2002
Springer
15 years 6 months ago
2002
Springer
Abstract. This paper demonstrates the use of pattern-weights in order to develop a strategy for an automated player of a non-cooperative version of the game of Diplomacy. Diplomacy...
191
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NIPS
2001
15 years 7 months ago
2001
We propose a new approach to reinforcement learning which combines least squares function approximation with policy iteration. Our method is model-free and completely off policy. ...
162
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ICML
2009
IEEE
16 years 7 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...
181
Voted
ROMAN
2007
IEEE
16 years 19 days ago
2007
IEEE
— In this work, we perform an extensive statistical evaluation for learning and recognition of object manipulation actions. We concentrate on single arm/hand actions but study th...