26 search results - page 4 / 6 » Temporal-Difference Networks |
ACG
2003
Springer
13 years 11 months ago
2003
Springer
In this article a neural network architecture is presented that is able to build a soft segmentation of a two-dimensional input. This network architecture is applied to position ev...
NN
2002
Springer
13 years 5 months ago
2002
Springer
In the temporal difference model of primate dopamine neurons, their phasic activity reports a prediction error for future reward. This model is supported by a wealth of experiment...
EWRL
2008
13 years 7 months ago
2008
A wide variety of function approximation schemes have been applied to reinforcement learning. However, Bayesian filtering approaches, which have been shown efficient in other field...
IJCAI
2007
13 years 7 months ago
2007
TD-FALCON is a self-organizing neural network that incorporates Temporal Difference (TD) methods for reinforcement learning. Despite the advantages of fast and stable learning, TD...
GECCO
2009
Springer
13 years 10 months ago
2009
Springer
We apply CMA-ES, an evolution strategy with covariance matrix adaptation, and TDL (Temporal Difference Learning) to reinforcement learning tasks. In both cases these algorithms se...