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AI
1998
Springer
15 years 6 months ago
Model-Based Average Reward Reinforcement Learning
Reinforcement Learning (RL) is the study of programs that improve their performance by receiving rewards and punishments from the environment. Most RL methods optimize the discoun...
Prasad Tadepalli, DoKyeong Ok
EUROCAST
1997
Springer
156views Hardware» more  EUROCAST 1997»
15 years 10 months ago
A Computational Model for Visual Size, Location and Movement
The ability to detect object size, location and movement is essential for a visual system in either a biological or man made environment. In this paper we present a model for esti...
Miguel Alemán-Flores, K. Nicholas Leibovic,...
IFIPTCS
2000
15 years 10 months ago
Masaccio: A Formal Model for Embedded Components
Masaccio is a formal model for hybrid dynamical systems which are built from atomic discrete components (di erence equations) and atomic continuous components (di erential equation...
Thomas A. Henzinger
ICC
2007
IEEE
193views Communications» more  ICC 2007»
16 years 22 days ago
A Semantic Context Model for Location-Based Cooperative Mobile Computing
—This paper addresses context issues in pervasive mobile computing and presents a semantic context model to support location based cooperative mobile applications. In this paper,...
Bin Hu, Philip Moore, Hsiai-Hwa Chen
ATAL
2009
Springer
16 years 1 months ago
Effects of resource and remembering on social networks
To better represent human interactions in social networks, the authors take a network-oriented simulation approach to analyze the evolution of acquaintance networks based on local...
Chung-Yuan Huang, Yu-Shiuan Tsai, Chuen-Tsai Sun