548 search results - page 28 / 110 » A New Way to Introduce Knowledge into Reinforcement Learning |
COLT
2007
Springer
15 years 6 months ago
2007
Springer
The standard so-called experts algorithms are methods for utilizing a given set of “experts” to make good choices in a sequential decision-making problem. In the standard setti...
IBERAMIA
2010
Springer
14 years 10 months ago
2010
Springer
Reinforcement Learning is commonly used for learning tasks in robotics, however, traditional algorithms can take very long training times. Reward shaping has been recently used to ...
IIE
2007
14 years 11 months ago
2007
We investigate the possibility to apply a known machine learning algorithm of Q-learning in the domain of a Virtual Learning Environment (VLE). It is important in this problem doma...
CEC
2003
IEEE
15 years 5 months ago
2003
IEEE
We introduce a technique that allows a real robot to execute real-time learning, in which GP and RL are integrated. In our former research, we showed the result of an experiment wi...
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CORR
2010
Springer
14 years 10 months ago
2010
Springer
We propose a new approach to value function approximation which combines linear temporal difference reinforcement learning with subspace identification. In practical applications...