813 search results - page 136 / 163 » Ensemble Algorithms in Reinforcement Learning |
154
Voted
NIPS
2001
15 years 5 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. ...
133
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KDD
2009
ACM
16 years 4 months ago
2009
ACM
We present novel semi-supervised boosting algorithms that incrementally build linear combinations of weak classifiers through generic functional gradient descent using both labele...
139
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IAT
2005
IEEE
15 years 9 months ago
2005
IEEE
This paper explains the building of robust software using multiagent reputation. One of the major goals of software engineering is to achieve robust software. Our hypothesis is th...
143
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ATAL
2009
Springer
15 years 10 months ago
2009
Springer
Multi-Agent Reinforcement Learning (MARL) algorithms suffer from slow convergence and even divergence, especially in largescale systems. In this work, we develop an organization-b...
136
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ICCS
1993
Springer
15 years 8 months ago
1993
Springer
Adaptive predictive search (APS), is a learning system framework, which given little initial domain knowledge, increases its decision-making abilities in complex problems domains....