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ILP
2007
Springer
16 years 1 months ago
Learning Relational Options for Inductive Transfer in Relational Reinforcement Learning
In reinforcement learning problems, an agent has the task of learning a good or optimal strategy from interaction with his environment. At the start of the learning task, the agent...
Tom Croonenborghs, Kurt Driessens, Maurice Bruynoo...
CW
2005
IEEE
16 years 21 days ago
Agent Models for Dynamic 3D Virtual Worlds
Agents are systems capable of perceiving their environment through sensors, reasoning about their sensory input using some characteristic reasoning process and acting in their env...
Mary Lou Maher, Kathryn Elizabeth Merrick
ICCBR
2005
Springer
16 years 18 days ago
Re-using Implicit Knowledge in Short-Term Information Profiles for Context-Sensitive Tasks
Typically, case-based recommender systems recommend single items to the on-line customer. In this paper we introduce the idea of recommending a user-defined collection of items whe...
Conor Hayes, Paolo Avesani, Emiliano Baldo, Padrai...
AI
2003
Springer
16 years 9 days ago
Case Authoring from Text and Historical Experiences
The problem of repair and maintenance of complex systems, such as aircraft, cars and trucks is certainly a nontrivial task. Maintenance technicians must use a great amount of knowl...
Marvin Zaluski, Nathalie Japkowicz, Stan Matwin
PLILP
1993
Springer
15 years 11 months ago
Higher-Order Chaotic Iteration Sequences
Chaotic iteration sequences is a method for approximating fixpoints of monotonic functions proposed by Patrick and Radhia Cousot. It may be used in specialisation algorithms for ...
Mads Rosendahl