155 search results - page 7 / 31 » Multi-agent Reinforcement Learning Using Strategies and Voti... |
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ATAL
2006
Springer
15 years 1 months ago
2006
Springer
In many Multi-Agent Systems (MAS), agents (even if selfinterested) need to cooperate in order to maximize their own utilities. Most of the multi-agent learning algorithms focus on...
100
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FLAIRS
2004
14 years 11 months ago
2004
Robots that can adapt and perform multiple tasks promise to be a powerful tool with many applications. In order to achieve such robots, control systems have to be constructed that...
IJAIT
2008
14 years 9 months ago
2008
ATAL
2009
Springer
15 years 4 months ago
2009
Springer
Multi-Agent Reinforcement Learning (MARL) algorithms suffer from slow convergence and even divergence, especially in largescale systems. In this work, we develop an organization-b...
ECML
2005
Springer
15 years 3 months ago
2005
Springer
Abstract. While direct, model-free reinforcement learning often performs better than model-based approaches in practice, only the latter have yet supported theoretical guarantees f...