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ATAL
2007
Springer
15 years 1 months ago
2007
Springer
Models of agent-environment interaction that use predictive state representations (PSRs) have mainly focused on the case of discrete observations and actions. The theory of discre...
AI
2007
Springer
15 years 3 months ago
2007
Springer
Agent competition and coordination are two classical and most important tasks in multiagent systems. In recent years, there was a number of learning algorithms proposed to resolve ...
MICAI
2009
Springer
15 years 4 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...
AAAI
2011
13 years 9 months ago
2011
Action modeling is an important skill for agents that must perform tasks in novel domains. Previous work on action modeling has focused on learning STRIPS operators in discrete, r...
69
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ALT
2008
Springer
15 years 6 months ago
2008
Springer
The question investigated in this paper is to what extent an input representation influences the success of learning, in particular from the point of view of analyzing agents that...