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» A New Way to Introduce Knowledge into Reinforcement Learning
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CIA
2007
Springer
15 years 6 months ago
Agent Behavior Alignment: A Mechanism to Overcome Problems in Agent Interactions During Runtime
When two or more agents interacting, their behaviors are not necessarily matching. Automated ways to overcome conicts in the behavior of agents can make the execution of interacti...
Gerben G. Meyer, Nicolae B. Szirbik
BIOADIT
2004
Springer
15 years 5 months ago
Autonomous Acquisition of the Meaning of Sensory States Through Sensory-Invariance Driven Action
Abstract. How can artificial or natural agents autonomously gain understanding of its own internal (sensory) state? This is an important question not just for physically embodied ...
Yoonsuck Choe, S. Kumar Bhamidipati
KCAP
2005
ACM
15 years 5 months ago
Extracting knowledge from evaluative text
Capturing knowledge from free-form evaluative texts about an entity is a challenging task. New techniques of feature extraction, polarity determination and strength evaluation hav...
Giuseppe Carenini, Raymond T. Ng, Ed Zwart
KDD
2002
ACM
109views Data Mining» more  KDD 2002»
16 years 6 days ago
Mining intrusion detection alarms for actionable knowledge
In response to attacks against enterprise networks, administrators increasingly deploy intrusion detection systems. These systems monitor hosts, networks, and other resources for ...
Klaus Julisch, Marc Dacier
CVPR
2010
IEEE
15 years 19 hour ago
Boosting for transfer learning with multiple sources
Transfer learning allows leveraging the knowledge of source domains, available a priori, to help training a classifier for a target domain, where the available data is scarce. Th...
Yi Yao, Gianfranco Doretto