513 search results - page 24 / 103 » Metric learning for reinforcement learning agents |
136
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ROBOCUP
2004
Springer
15 years 5 months ago
2004
Springer
The existing reinforcement learning approaches have been suffering from the policy alternation of others in multiagent dynamic environments such as RoboCup competitions since othe...
96
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ICML
2003
IEEE
16 years 1 months ago
2003
IEEE
An important issue in reinforcement learning is how to incorporate expert knowledge in a principled manner, especially as we scale up to real-world tasks. In this paper, we presen...
74
Voted
PRICAI
1999
Springer
15 years 4 months ago
1999
Springer
Abstract. In multi-agent reinforcement learning systems, it is important to share a reward among all agents. We focus on the Rationality Theorem of Profit Sharing [5] and analyze ...
84
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AAMAS
2005
Springer
15 years 11 days ago
2005
Springer
In this paper, we focus on the coordination issues in a multiagent setting. Two coordination algorithms based on reinforcement learning are presented and theoretically analyzed. O...
108
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WEBI
2009
Springer
15 years 7 months ago
2009
Springer
—In open multiagent systems, agents need to model their environments in order to identify trustworthy agents. Models of the environment should be accurate so that decisions about...