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» Optimistic Planning of Deterministic Systems
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LOGCOM
1998
178views more  LOGCOM 1998»
13 years 5 months ago
Applying the Mu-Calculus in Planning and Reasoning about Action
Planning algorithms have traditionally been geared toward achievement goals in single-agent environments. Such algorithms essentially produce plans to reach one of a specified se...
Munindar P. Singh
IWCMC
2006
ACM
13 years 11 months ago
A heuristics based approach for cellular mobile network planning
Designing and planning of the switching, signaling and support network is a fairly complex process in cellular mobile network. In this paper, the problem of assigning cells to swi...
Marwan H. Abu-Amara, Sadiq M. Sait, Abdul Subhan
CSL
2010
Springer
13 years 5 months ago
Evaluation of a hierarchical reinforcement learning spoken dialogue system
We describe an evaluation of spoken dialogue strategies designed using hierarchical reinforcement learning agents. The dialogue strategies were learnt in a simulated environment a...
Heriberto Cuayáhuitl, Steve Renals, Oliver ...
ICRA
2003
IEEE
167views Robotics» more  ICRA 2003»
13 years 10 months ago
Local exploration: online algorithms and a probabilistic framework
— Mapping an environment with an imaging sensor becomes very challenging if the environment to be mapped is unknown and has to be explored. Exploration involves the planning of v...
Volkan Isler, Sampath Kannan, Kostas Daniilidis
ET
2010
122views more  ET 2010»
13 years 2 months ago
Fault Models for Quantum Mechanical Switching Networks
This work justifies several quantum gate level fault models and discusses the causal error mechanisms thwarting correct function. A quantum adaptation of the classical test set gen...
Jacob D. Biamonte, Jeff S. Allen, Marek A. Perkows...