56 search results - page 2 / 12 » Selecting informative actions improves cooperative multiagen... |
IAT
2003
IEEE
13 years 10 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
13 years 5 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...
MAAMAW
1999
Springer
13 years 9 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...
ICML
1999
IEEE
14 years 5 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
13 years 6 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...