98 search results - page 8 / 20 » Hierarchical multi-agent reinforcement learning |
87
Voted
ICML
1997
IEEE
16 years 14 days ago
1997
IEEE
Explanation-Based Reinforcement Learning (EBRL) was introduced by Dietterich and Flann as a way of combining the ability of Reinforcement Learning (RL) to learn optimal plans with...
92
Voted
AAMAS
2002
Springer
14 years 11 months ago
2002
Springer
Abstract. One of the main questions concerning learning in a Multi-Agent System's environment is: "(How) can agents benefit from mutual interaction during the learning pr...
111
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ATAL
2006
Springer
15 years 3 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...
93
Voted
ATAL
2009
Springer
15 years 6 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...
FLAIRS
2003
15 years 1 months ago
2003
