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» Learning Action Selection Network of Intelligent Agent
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IAT
2010
IEEE
14 years 12 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...
AAAI
2011
14 years 1 months ago
Coordinated Multi-Agent Reinforcement Learning in Networked Distributed POMDPs
In many multi-agent applications such as distributed sensor nets, a network of agents act collaboratively under uncertainty and local interactions. Networked Distributed POMDP (ND...
Chongjie Zhang, Victor R. Lesser
AAAI
1990
15 years 3 months ago
Becoming Increasingly Reactive
We describe a robot control architecture which combines a stimulus-response subsystem for rapid reaction, with a search-based planner for handling unanticipated situations. The ro...
Tom M. Mitchell
IVA
2009
Springer
15 years 8 months ago
Duality of Actor and Character Goals in Virtual Drama
Actor agents in a virtual reality and interactive drama must deliver a believable performance. This is challenging and many issues need to be resolved. One prominent problem is tha...
María Arinbjarnar, Daniel Kudenko
AIIDE
2009
15 years 3 months ago
Learning Character Behaviors Using Agent Modeling in Games
Our goal is to provide learning mechanisms to game agents so they are capable of adapting to new behaviors based on the actions of other agents. We introduce a new on-line reinfor...
Richard Zhao, Duane Szafron