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120
Voted
ATAL
2010
Springer
15 years 1 months ago
2010
Springer
A central problem in artificial intelligence is to choose actions to maximize reward in a partially observable, uncertain environment. To do so, we must learn an accurate model of ...
136
Voted
ATAL
2010
Springer
15 years 1 months ago
2010
Springer
Establishing trust amongst agents is of central importance to the development of well-functioning multi-agent systems. For example, the anonymity of transactions on the Internet c...
ATAL
2010
Springer
15 years 1 months ago
2010
Springer
Learning, planning, and representing knowledge in large state t multiple levels of temporal abstraction are key, long-standing challenges for building flexible autonomous agents. ...
108
Voted
ATAL
2010
Springer
15 years 1 months ago
2010
Springer
This paper describes an algorithm, called CQ-learning, which learns to adapt the state representation for multi-agent systems in order to coordinate with other agents. We propose ...
CCGRID
2010
IEEE
15 years 1 months ago
2010
IEEE
Volunteer-based grid computing resources are characteristically volatile and frequently become unavailable due to the autonomy that owners maintain over them. This resource volati...