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» Modeling Dynamic Domains with ConGolog
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DATE
2010
IEEE
163views Hardware» more  DATE 2010»
13 years 12 months ago
Efficient High-Level modeling in the networking domain
-- Starting Electronic System Level (ESL) design flows with executable High-Level Models (HLMs) has the potential to sustainably improve productivity. However, writing good HLMs fo...
Christian Zebelein, Joachim Falk, Christian Haubel...
ROBOCUP
2007
Springer
153views Robotics» more  ROBOCUP 2007»
14 years 1 months ago
Model-Based Reinforcement Learning in a Complex Domain
Reinforcement learning is a paradigm under which an agent seeks to improve its policy by making learning updates based on the experiences it gathers through interaction with the en...
Shivaram Kalyanakrishnan, Peter Stone, Yaxin Liu
CSB
2005
IEEE
140views Bioinformatics» more  CSB 2005»
14 years 1 months ago
TPR Packing Analysis and 3D Modeling for the HAT Domain of Human Crooked Neck Protein
Human crooked neck protein (hcrn) containing 17 HAT or TPR repeats plays a role in pre-mRNA processing. Conserved residues in the TPR consensus sequence of 34 aa were found at hel...
Zhenglin Hou, Cunxi Wang, Odd-Arne Olsen
DAC
2010
ACM
13 years 11 months ago
Automated compact dynamical modeling: an enabling tool for analog designers
In this paper we summarize recent developments in compact dynamical modeling for both linear and nonlinear systems arising in analog applications. These techniques include methods...
Bradley N. Bond, Luca Daniel
NECO
2002
105views more  NECO 2002»
13 years 7 months ago
Multiple Model-Based Reinforcement Learning
We propose a modular reinforcement learning architecture for non-linear, nonstationary control tasks, which we call multiple model-based reinforcement learning (MMRL). The basic i...
Kenji Doya, Kazuyuki Samejima, Ken-ichi Katagiri, ...