949 search results - page 42 / 190 » Can Doxastic Agents Learn |
101
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AAAI
1993
15 years 2 months ago
1993
Automating the construction of semantic grammars is a di cult and interesting problem for machine learning. This paper shows how the semantic-grammar acquisition problem can be vi...
105
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ICMLA
2007
15 years 2 months ago
2007
In our research we study rational agents which learn how to choose the best conditional, partial plan in any situation. The agent uses an incomplete symbolic inference engine, emp...
98
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ATAL
2009
Springer
15 years 7 months ago
2009
Springer
This paper presents a model of neural network embodiment of intentions and planning mechanisms for autonomous agents. The model bridges the dichotomy of symbolic and non-symbolic ...
132
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CI
2005
15 years 18 days ago
2005
Autonomous agents that learn about their environment can be divided into two broad classes. One class of existing learners, reinforcement learners, typically employ weak learning ...
ICONIP
2009
14 years 10 months ago
2009
Reinforcement learning induces non-stationarity at several levels. Adaptation to non-stationary environments is of course a desired feature of a fair RL algorithm. Yet, even if the...