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ICML
2006
IEEE
16 years 7 months ago
An analytic solution to discrete Bayesian reinforcement learning
Reinforcement learning (RL) was originally proposed as a framework to allow agents to learn in an online fashion as they interact with their environment. Existing RL algorithms co...
Pascal Poupart, Nikos A. Vlassis, Jesse Hoey, Kevi...
ICML
1995
IEEE
16 years 7 months ago
Learning Policies for Partially Observable Environments: Scaling Up
Partially observable Markov decision processes (pomdp's) model decision problems in which an agent tries to maximize its reward in the face of limited and/or noisy sensor fee...
Michael L. Littman, Anthony R. Cassandra, Leslie P...
ICCD
2004
IEEE
107views Hardware» more  ICCD 2004»
16 years 3 months ago
Network-on-Chip: The Intelligence is in The Wire
In this paper we describe how Network-on-Chip (NoC) will be the next major challenge to implementing complex and function-rich applications in advanced manufacturing processes at ...
Gérard Mas, Philippe Martin
ICCAD
2005
IEEE
168views Hardware» more  ICCAD 2005»
16 years 3 months ago
Statistical timing analysis driven post-silicon-tunable clock-tree synthesis
— Process variations cause significant timing uncertainty and yield degradation in deep sub-micron technologies. A solution to counter timing uncertainty is post-silicon clock t...
Jeng-Liang Tsai, Lizheng Zhang
CVPR
2010
IEEE
16 years 2 months ago
Efficient Extraction of Human Motion Volumes by Tracking
We present an automatic and efficient method to extract spatio-temporal human volumes from video, which combines top-down model-based and bottom-up appearancebased approaches. Fr...
Juan Carlos Niebles, Bohyung Han, Li Fei-Fei
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