813 search results - page 58 / 163 » Ensemble Algorithms in Reinforcement Learning |
166
Voted
ATAL
2007
Springer
15 years 10 months ago
2007
Springer
We consider the problem of finding optimal strategies in infinite extensive form games with incomplete information that are repeatedly played. This problem is still open in lite...
165
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MCS
2005
Springer
15 years 9 months ago
2005
Springer
We have previously introduced the Learn++ algorithm that provides surprisingly promising performance for incremental learning as well as data fusion applications. In this contribut...
130
Voted
ICML
2003
IEEE
16 years 5 months ago
2003
IEEE
Relational reinforcement learning (RRL) is a Q-learning technique which uses first order regression techniques to generalize the Qfunction. Both the relational setting and the Q-l...
115
Voted
UAI
2001
15 years 5 months ago
2001
There exist a number of reinforcement learning algorithms which learn by climbing the gradient of expected reward. Their long-run convergence has been proved, even in partially ob...
114
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ICONIP
2009
15 years 1 months ago
2009
Reinforcement learning induces non-stationarity at several levels. Adaptation to non-stationary environments is of course a desired feature of a fair RL algorithm. Yet, even if the...