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» Coordinating Multiple Agents via Reinforcement Learning
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EELC
2006
121views Languages» more  EELC 2006»
13 years 11 months ago
Symbol Grounding Through Cumulative Learning
Abstract. We suggest that the primary motivation for an agent to construct a symbol-meaning mapping is to solve a task. The meaning space of an agent should be derived from the tas...
Samarth Swarup, Kiran Lakkaraju, Sylvian R. Ray, L...
ECCV
2006
Springer
14 years 9 months ago
Monocular Tracking of 3D Human Motion with a Coordinated Mixture of Factor Analyzers
Filtering based algorithms have become popular in tracking human body pose. Such algorithms can suffer the curse of dimensionality due to the high dimensionality of the pose state ...
Rui Li, Ming-Hsuan Yang, Stan Sclaroff, Tai-Peng T...
KES
2005
Springer
14 years 1 months ago
Lightweight Agent Framework for Camera Array Applications
This paper describes a lightweight middleware agent framework (LAF) for coordinating a large array of computers with attached cameras to construct high resolution video-rate image ...
Lee Middleton, Sylvia C. Wong, Michael O. Jewell, ...
JMLR
2008
92views more  JMLR 2008»
13 years 7 months ago
Theoretical Advantages of Lenient Learners: An Evolutionary Game Theoretic Perspective
This paper presents the dynamics of multiple learning agents from an evolutionary game theoretic perspective. We provide replicator dynamics models for cooperative coevolutionary ...
Liviu Panait, Karl Tuyls, Sean Luke
AIEDU
2005
135views more  AIEDU 2005»
13 years 7 months ago
Simulating Instructional Roles through Pedagogical Agents
This paper describes the design and empirical validation of three distinct pedagogical agent roles (Expert, Motivator, and Mentor) for college students within the MIMIC (Multiple I...
Amy L. Baylor, Yanghee Kim