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» Learning Action Selection Network of Intelligent Agent
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AAAI
1994
15 years 3 months ago
Learning to Select Useful Landmarks
To navigate effectively, an autonomous agent must be able to quickly and accurately determine its current location. Given an initial estimate of its position (perhaps based on dea...
Russell Greiner, Ramana Isukapalli
109
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FLAIRS
2004
15 years 3 months ago
Experience-Based Resource Description and Selection in Multiagent Information Retrieval
In this paper, we propose an agent-centric approach to resource description and selection in a multiagent information retrieval (IR). In the multiagent system, each agent learns f...
Leen-Kiat Soh
WMTE
2006
IEEE
15 years 7 months ago
Entre-pass: Personalising u-learning with Intelligent Agents
Delivering learning materials anytime, anywhere is the goal underpinning the ubiquitous learning (u-learning) paradigm. Personalising u-learning courseware delivers a unique learn...
Brid C. Doherty, P. T. O'Hare, Michael J. O'Grady,...
FLAIRS
2008
15 years 4 months ago
Learning Continuous Action Models in a Real-Time Strategy Environment
Although several researchers have integrated methods for reinforcement learning (RL) with case-based reasoning (CBR) to model continuous action spaces, existing integrations typic...
Matthew Molineaux, David W. Aha, Philip Moore
AI
2004
Springer
15 years 7 months ago
Multi-attribute Decision Making in a Complex Multiagent Environment Using Reinforcement Learning with Selective Perception
Abstract. Choosing between multiple alternative tasks is a hard problem for agents evolving in an uncertain real-time multiagent environment. An example of such environment is the ...
Sébastien Paquet, Nicolas Bernier, Brahim C...