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ICML
2010
IEEE
15 years 5 months ago
Internal Rewards Mitigate Agent Boundedness
Abstract--Reinforcement learning (RL) research typically develops algorithms for helping an RL agent best achieve its goals-however they came to be defined--while ignoring the rela...
Jonathan Sorg, Satinder P. Singh, Richard Lewis
CSREAEEE
2006
138views Business» more  CSREAEEE 2006»
15 years 5 months ago
An English-Chinese Learning System Using J2ME and Java Servlets
Mobile phones offer a variety of interesting and exciting applications. A mobile phone can be a communication device, an entertainment device, and a learning device. J2ME is a pop...
Chin-Chih Chang, Swapna Sunkara
ISOLA
2010
Springer
15 years 2 months ago
LivingKnowledge: Kernel Methods for Relational Learning and Semantic Modeling
Latest results of statistical learning theory have provided techniques such us pattern analysis and relational learning, which help in modeling system behavior, e.g. the semantics ...
Alessandro Moschitti
ATAL
2008
Springer
15 years 6 months ago
No-regret learning and a mechanism for distributed multiagent planning
We develop a novel mechanism for coordinated, distributed multiagent planning. We consider problems stated as a collection of single-agent planning problems coupled by common soft...
Jan-P. Calliess, Geoffrey J. Gordon
ECCV
2008
Springer
16 years 6 months ago
Output Regularized Metric Learning with Side Information
Distance metric learning has been widely investigated in machine learning and information retrieval. In this paper, we study a particular content-based image retrieval application ...
Wei Liu, Steven C. H. Hoi, Jianzhuang Liu