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ICML
2001
IEEE
15 years 10 months ago
Continuous-Time Hierarchical Reinforcement Learning
Hierarchical reinforcement learning (RL) is a general framework which studies how to exploit the structure of actions and tasks to accelerate policy learning in large domains. Pri...
Mohammad Ghavamzadeh, Sridhar Mahadevan
ASWEC
2007
IEEE
15 years 4 months ago
Formal Validation of Hierarchical State Machines against Expectations
This paper explains some analyses that can be performed on a hierarchical finite state machine to validate that it performs as intended. Such a hierarchical state machine has tra...
Ian Toyn, Andy Galloway
HICSS
2006
IEEE
123views Biometrics» more  HICSS 2006»
15 years 4 months ago
SeamCAD: Object-Oriented Modeling Tool for Hierarchical Systems in Enterprise Architecture
Enterprise Architecture (EA) requires modeling enterprises across multiple levels (from markets down to IT systems). Providing tool support for such models is a challenge (e.g. mo...
Lam-Son Lê, Alain Wegmann
AIPR
2005
IEEE
15 years 3 months ago
Hierarchical Bayesian Algorithm for Diffuse Optical Tomography
Diffuse Optical Tomography (DOT) poses a typical illposed inverse problem with limited number of measurements and inherently low spatial resolution. In this paper, we propose a hi...
Murat Guven, Birsen Yazici, Xavier Intes, Britton ...
ESCIENCE
2007
IEEE
15 years 1 months ago
Formal Modeling and Analysis of Scientific Workflows Using Hierarchical State Machines
Scientific workflows have recently emerged as a new paradigm for representing and managing complex distributed scientific computations and data analysis, and have enabled and acce...
Ping Yang, Zijiang Yang, Shiyong Lu