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AI
1999
Springer
13 years 8 months ago
Cooperative Behavior Acquisition for Mobile Robots in Dynamically Changing Real Worlds Via Vision-Based Reinforcement Learning a
In this paper, we first discuss the meaning of physical embodiment and the complexity of the environment in the context of multi-agent learning. We then propose a vision-based rei...
Minoru Asada, Eiji Uchibe, Koh Hosoda
IPPS
2008
IEEE
14 years 2 months ago
Adaptive tuning in a dynamically changing resource environment
We present preliminary results of a project to create a tuning system that adaptively optimizes programs to the underlying execution platform. We will show initial results from tw...
Seyong Lee, Rudolf Eigenmann
ICDM
2005
IEEE
122views Data Mining» more  ICDM 2005»
14 years 2 months ago
Learning through Changes: An Empirical Study of Dynamic Behaviors of Probability Estimation Trees
In practice, learning from data is often hampered by the limited training examples. In this paper, as the size of training data varies, we empirically investigate several probabil...
Kun Zhang, Zujia Xu, Jing Peng, Bill P. Buckles