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138
Voted
ICONIP
2009
15 years 3 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...
133
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KI
2009
Springer
16 years 21 days ago
2009
Springer
Abstract. We study the integration of two prominent fields of logicbased AI: action formalisms and non-monotonic reasoning. The resulting framework allows an agent employing an ac...
144
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KI
2009
Springer
16 years 21 days ago
2009
Springer
Abstract. Agents interacting in a dynamically changing spatial environment often need to access the same spatial resources. A typical example is given by moving vehicles that meet ...
153
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IROS
2007
IEEE
16 years 13 days ago
2007
IEEE
— In this paper we build an imitation learning algorithm for a humanoid robot on top of a general world model provided by learned object affordances. We consider that the robot h...
167
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CONTEXT
2007
Springer
16 years 10 days ago
2007
Springer
The ability to model cognitive agents depends crucially on being able to encode and infer with contextual information at many levels (such as situational, psychological, social, or...