43 search results - page 6 / 9 » Hierarchical Reinforcement Learning in Communication-Mediate... |
ATAL
2007
Springer
15 years 3 months ago
2007
Springer
It is known that the complexity of the reinforcement learning algorithms, such as Q-learning, may be exponential in the number of environment’s states. It was shown, however, th...
ATAL
2006
Springer
15 years 1 months ago
2006
Springer
Coordinating agents in a complex environment is a hard problem, but it can become even harder when certain characteristics of the tasks, like the required number of agents, are un...
ATAL
2007
Springer
15 years 3 months ago
2007
Springer
This paper proposes the β-WoLF algorithm for multiagent reinforcement learning (MARL) in the stochastic games framework that uses an additional “advice” signal to inform agen...
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AAMAS
2010
Springer
14 years 9 months ago
2010
Springer
Abstract In this paper we address the problem of simultaneous learning and coordination in multiagent Markov decision problems (MMDPs) with infinite state-spaces. We separate this ...
ISPE
2003
14 years 11 months ago
2003
A two stage approach to co-ordination in a multi-agent society is presented. The first stage involves agents learning to co-ordinate their activities based on local and global uti...