56 search results - page 2 / 12 » Selecting informative actions improves cooperative multiagen... |
96
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IAT
2003
IEEE
15 years 2 months ago
2003
IEEE
A gradient-based method for both symmetric and asymmetric multiagent reinforcement learning is introduced in this paper. Symmetric multiagent reinforcement learning addresses the ...
ECAI
2010
Springer
14 years 10 months ago
2010
Springer
This work presents a new approach that allows the use of cases in a case base as heuristics to speed up Multiagent Reinforcement Learning algorithms, combining Case-Based Reasoning...
119
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MAAMAW
1999
Springer
15 years 1 months ago
1999
Springer
Cooperation plays a fundamental role in multi-agent systems in which individual agents must interact for the overall system to function effectively. However, cooperation inherently...
80
Voted
ICML
1999
IEEE
15 years 10 months ago
1999
IEEE
Imitation is actively being studied as an effective means of learning in multi-agent environments. It allows an agent to learn how to act well (perhaps optimally) by passively obs...
ATAL
2008
Springer
14 years 11 months ago
2008
Springer
Decentralized Markov decision processes are frequently used to model cooperative multi-agent systems. In this paper, we identify a subclass of general DEC-MDPs that features regul...