813 search results - page 89 / 163 » Ensemble Algorithms in Reinforcement Learning |
134
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ICML
2009
IEEE
16 years 5 months ago
2009
IEEE
Reinforcement Learning methods for controlling stochastic processes typically assume a small and discrete action space. While continuous action spaces are quite common in real-wor...
154
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ICTAI
2006
IEEE
15 years 10 months ago
2006
IEEE
We present an ensemble learning approach that achieves accurate predictions from arbitrarily partitioned data. The partitions come from the distributed processing requirements of ...
135
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ICML
2005
IEEE
16 years 5 months ago
2005
IEEE
Learning algorithms often obtain relatively low average payoffs in repeated general-sum games between other learning agents due to a focus on myopic best-response and one-shot Nas...
134
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NECO
2002
15 years 4 months ago
2002
Many perception, reasoning, and learning problems can be expressed as Bayesian inference. We point out that formulating a problem as Bayesian inference implies specifying a probabi...
144
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ATAL
2009
Springer
15 years 11 months ago
2009
Springer
One of the key problems in reinforcement learning is balancing exploration and exploitation. Another is learning and acting in large or even continuous Markov decision processes (...