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AAMAS
2007
Springer
15 years 7 months ago
A framework for meta-level control in multi-agent systems
Sophisticated agents operating in open environments must make decisions that efficiently trade off the use of their limited resources between dynamic deliberative actions and dom...
Anita Raja, Victor R. Lesser
IAT
2010
IEEE
15 years 4 months ago
Selecting Operator Queries Using Expected Myopic Gain
When its human operator cannot continuously supervise (much less teleoperate) an agent, the agent should be able to recognize its limitations and ask for help when it risks making...
Robert Cohn, Michael Maxim, Edmund H. Durfee, Sati...
EJC
2010
15 years 1 months ago
Inferencing in Database Semantics
As a computational model of natural language communication, Database Semantics1 (DBS) includes a hearer mode and a speaker mode. For the content to be mapped into language expressi...
Roland Hausser
COLT
2004
Springer
16 years 7 days ago
Reinforcement Learning for Average Reward Zero-Sum Games
Abstract. We consider Reinforcement Learning for average reward zerosum stochastic games. We present and analyze two algorithms. The first is based on relative Q-learning and the ...
Shie Mannor
PRICAI
2004
Springer
16 years 6 days ago
Covisibility-Based Map Learning Method for Mobile Robots
In previous work, we proposed a unique landmark-based map learning method for mobile robots based on the “co-visibility” information i.e., very coarse qualitative information o...
Takehisa Yairi