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FLAIRS
2004
15 years 7 months ago
State Space Reduction For Hierarchical Reinforcement Learning
er provides new techniques for abstracting the state space of a Markov Decision Process (MDP). These techniques extend one of the recent minimization models, known as -reduction, ...
Mehran Asadi, Manfred Huber
AAAI
2012
13 years 8 months ago
Planning in Factored Action Spaces with Symbolic Dynamic Programming
We consider symbolic dynamic programming (SDP) for solving Markov Decision Processes (MDP) with factored state and action spaces, where both states and actions are described by se...
Aswin Raghavan, Saket Joshi, Alan Fern, Prasad Tad...
CHI
2005
ACM
16 years 6 months ago
Digital backchannels in shared physical spaces: experiences at an academic conference
There are a variety of digital tools for enabling people who are physically separated by time and space to communicate and collaborate. Widespread use of some of these tools, such...
Joseph F. McCarthy, Danah Boyd
VIS
2009
IEEE
211views Visualization» more  VIS 2009»
16 years 7 months ago
Isosurface Extraction and View-Dependent Filtering from Time-Varying Fields Using Persistent Time-Octree (PTOT)
We develop a new algorithm for isosurface extraction and view-dependent filtering from large time-varying fields, by using a novel Persistent Time-Octree (PTOT) indexing structure....
Cong Wang, Yi-Jen Chiang
ICRA
2005
IEEE
189views Robotics» more  ICRA 2005»
16 years 4 hour ago
Mobile Agent Gain Scheduler Control in Inter-Continental Intelligent Space
- Intelligent Space (iSpace) is a space (room, corridor, or street), which has distributed sensory and mobile agents, that is capable to provide intelligent services. In this paper...
Rangsarit Vanijjirattikhan, Mo-Yuen Chow, Peter Ta...