486 search results - page 12 / 98 » A Bayesian Framework for Reinforcement Learning |
AAAI
1998
13 years 10 months ago
1998
Learning on real robots in an real, unaltered environment provides an extremely challenging problem. Many of the simplifying assumptions made in other areas of learning cannot be ...
NIPS
1992
13 years 9 months ago
1992
We present a local learning rule in which Hebbian learning is conditional on an incorrect prediction of a reinforcement signal. We propose a biological interpretation of such a fr...
NIPS
1997
13 years 10 months ago
1997
We present a new approach to reinforcement learning in which the policies considered by the learning process are constrained by hierarchies of partially specified machines. This ...
NIPS
2008
13 years 10 months ago
2008
In this theoretical contribution we provide mathematical proof that two of the most important classes of network learning - correlation-based differential Hebbian learning and rew...
LCN
2006
IEEE
14 years 2 months ago
2006
IEEE
There is increasing research interest in solving routing problems in sensor networks subject to constraints such as data correlation, link reliability and energy conservation. Sin...