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AAAI
2004
15 years 6 months ago
Solving Concurrent Markov Decision Processes
Typically, Markov decision problems (MDPs) assume a single action is executed per decision epoch, but in the real world one may frequently execute certain actions in parallel. Thi...
Mausam, Daniel S. Weld
128
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IJON
2006
90views more  IJON 2006»
15 years 5 months ago
Adaptive sensory processing for efficient place coding
This work presents a neural model of self-localisation implemented on a simulated mobile robot with a realistic visual input. A population of modelled place cells with overlapping...
Denis Sheynikhovich, Ricardo Chavarriaga, Thomas S...
IJAIT
2002
82views more  IJAIT 2002»
15 years 4 months ago
Interleaved Backtracking in Distributed Constraint Networks
The adaptation of software technology to distributed environments is an important challenge today. In this work we combine parallel and distributed search. By this way we add the ...
Youssef Hamadi

Publication
151views
14 years 3 months ago
Robust Bayesian reinforcement learning through tight lower bounds
In the Bayesian approach to sequential decision making, exact calculation of the (subjective) utility is intractable. This extends to most special cases of interest, such as reinfo...
Christos Dimitrakakis
CANDC
2005
ACM
15 years 7 months ago
Freedom and constraint in the creative process in digital fine art: an AHRB invited workshop
The workshop will explore in depth the nature of freedom and constraint in the creative process in digital fine art from the perspective of embodied mind. The problem is crucial t...
John Haworth, Sue Gollifer, James Faure Walker, Pa...