2011 search results - page 40 / 403 » Universal Reinforcement Learning |
131
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ECML
2006
Springer
15 years 7 months ago
2006
Springer
Reinforcement learning in real-world domains suffers from three curses of dimensionality: explosions in state and action spaces, and high stochasticity. We present approaches that ...
113
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PRIMA
2009
Springer
15 years 10 months ago
2009
Springer
In this article, we propose a method to adapt stepsize parameters used in reinforcement learning for dynamic environments. In general reinforcement learning situations, a stepsize...
148
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AAAI
2006
15 years 5 months ago
2006
My research attempts to address on-line action selection in reinforcement learning from a Bayesian perspective. The idea is to develop more effective action selection techniques b...
235
Voted
ATAL
2006
Springer
15 years 7 months ago
2006
Springer
Factored representations, model-based learning, and hierarchies are well-studied techniques for improving the learning efficiency of reinforcement-learning algorithms in large-sca...
101
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DAGSTUHL
2007
15 years 5 months ago
2007
This abstract summarizes a brief, preliminary formalization of learning in parallel universes. It also attempts to highlight a few neighboring learning paradigms to illustrate how ...