1234 search results - page 74 / 247 » Multi-criteria Reinforcement Learning |
124
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MICAI
2009
Springer
15 years 10 months ago
2009
Springer
Reinforcement Learning is a commonly used technique in robotics, however, traditional algorithms are unable to handle large amounts of data coming from the robot’s sensors, requi...
134
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CIRA
2007
IEEE
15 years 10 months ago
2007
IEEE
– This paper describes two experiments with supervised reinforcement learning (RL) on a real, mobile robot. Two types of experiments were preformed. One tests the robot’s relia...
131
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CIG
2006
IEEE
15 years 10 months ago
2006
IEEE
Abstract— This paper describes experiments using reinforcement learning techniques to compute pattern urgencies used during simulations performed in a Monte-Carlo Go architecture...
141
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ILP
2003
Springer
15 years 9 months ago
2003
Springer
RRL is a relational reinforcement learning system based on Q-learning in relational state-action spaces. It aims to enable agents to learn how to act in an environment that has no ...
131
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ECAI
2008
Springer
15 years 6 months ago
2008
Springer
In many practical reinforcement learning problems, the state space is too large to permit an exact representation of the value function, much less the time required to compute it. ...