161 search results - page 27 / 33 » Autonomous transfer for reinforcement learning |
PPSN
2004
Springer
15 years 2 months ago
2004
Springer
In Multi-Agent learning, agents must learn to select actions that maximize their utility given the action choices of the other agents. Cooperative Coevolution offers a way to evol...
ACMICEC
2007
ACM
15 years 1 months ago
2007
ACM
Recommender systems are intelligent E-commerce applications that assist users in a decision-making process by offering personalized product recommendations during an interaction s...
77
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IJRR
2011
14 years 4 months ago
2011
We discuss vision as a sensory modality for systems that effect actions in response to perceptions. While the internal representations informed by vision may be arbitrarily compl...
117
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JAIR
2008
14 years 9 months ago
2008
We present exact algorithms for identifying deterministic-actions' effects and preconditions in dynamic partially observable domains. They apply when one does not know the ac...
59
Voted
ECML
2003
Springer
15 years 2 months ago
2003
Springer
Abstract. Most of multi-agent reinforcement learning algorithms aim to converge to a Nash equilibrium, but a Nash equilibrium does not necessarily mean a desirable result. On the o...