18 search results - page 3 / 4 » Generating Hierarchical Structure in Reinforcement Learning ... |
114
Voted
ATAL
2008
Springer
15 years 3 months ago
2008
Springer
Multi-Agent Reinforcement Learning (MARL) algorithms suffer from slow convergence and even divergence, especially in large-scale systems. In this work, we develop a supervision fr...
148
Voted
PAMI
2011
14 years 8 months ago
2011
—Inferring latent structures from observations helps to model and possibly also understand underlying data generating processes. A rich class of latent structures are the latent ...
106
Voted
ICML
2009
IEEE
16 years 1 months ago
2009
IEEE
This paper describes an unsupervised learning technique for modeling human locomotion styles, such as distinct related activities (e.g. running and striding) or variations of the ...
129
Voted
ICCV
2007
IEEE
16 years 3 months ago
2007
IEEE
We develop nonparametric Bayesian models for multiscale representations of images depicting natural scene categories. Individual features or wavelet coefficients are marginally de...
112
Voted
ATAL
2009
Springer
15 years 7 months ago
2009
Springer
Multi-Agent Reinforcement Learning (MARL) algorithms suffer from slow convergence and even divergence, especially in largescale systems. In this work, we develop an organization-b...