1234 search results - page 80 / 247 » Multi-criteria Reinforcement Learning |
131
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ICML
2002
IEEE
16 years 5 months ago
2002
IEEE
In many reinforcement learning applications, the set of possible actions can be partitioned by the programmer into subsets of similar actions. This paper presents a technique for ...
153
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ATAL
2007
Springer
15 years 10 months ago
2007
Springer
It is known that the complexity of the reinforcement learning algorithms, such as Q-learning, may be exponential in the number of environment’s states. It was shown, however, th...
155
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IJCAI
2001
15 years 5 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...
161
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GECCO
2009
Springer
15 years 2 months ago
2009
Springer
The covariance matrix adaptation evolution strategy (CMAES) has proven to be a powerful method for reinforcement learning (RL). Recently, the CMA-ES has been augmented with an ada...
109
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CSE
2009
IEEE
15 years 11 months ago
2009
IEEE
This paper describes a method of applying a reinforcement learning artificial intelligence to categorize audio files by mood based on listener response during a performance. The s...