3274 search results - page 47 / 655 » Using Learning in a Control Agent |
147
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ATAL
2005
Springer
15 years 7 months ago
2005
Springer
Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...
139
Voted
IJCAI
2001
15 years 3 months ago
2001
R-max is a very simple model-based reinforcement learning algorithm which can attain near-optimal average reward in polynomial time. In R-max, the agent always maintains a complet...
127
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IROS
2008
IEEE
15 years 8 months ago
2008
IEEE
—Multi-robot reinforcement learning is a very challenging area due to several issues, such as large state spaces, difficulty in reward assignment, nondeterministic action selecti...
109
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DAGSTUHL
2003
15 years 3 months ago
2003
In this paper, we try to demonstrate the capability of a very simple architecture to learn to recognize and reproduce facial expressions without the innate capability to recognize ...