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» Dynamic Traveling Repairperson Problem for dynamic systems
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IJCAI
2007
15 years 8 months ago
Bayesian Inverse Reinforcement Learning
Inverse Reinforcement Learning (IRL) is the problem of learning the reward function underlying a Markov Decision Process given the dynamics of the system and the behaviour of an e...
Deepak Ramachandran, Eyal Amir
AIPS
2003
15 years 8 months ago
Quality and Utility - Towards a Generalization of Deadline and Anytime Scheduling
Scheduling algorithms for real-time systems can be characterized in various ways, one of the most important ones of which is the underlying task model. Many concepts of real-time ...
Thomas Schwarzfischer
IADIS
2003
15 years 8 months ago
Flexible Framework for Local Wireless Services
One of the main objectives in setting up wireless services is to provide feasible content for the mobile users wherever and whenever they might need it. The dream of having servic...
Tero Hakkarainen, Ali Lattunen, Vespe Savikk
WSCG
2004
172views more  WSCG 2004»
15 years 8 months ago
GDESK: Game Discrete Event Simulation Kernel
Simulation has been used traditionally to solve other areas problems. Real time applications like videogames use typically a continuous simulation scheme. That way of operation ha...
Inmaculada García, Ramón Mollá...
NIPS
2003
15 years 8 months ago
Ambiguous Model Learning Made Unambiguous with 1/f Priors
What happens to the optimal interpretation of noisy data when there exists more than one equally plausible interpretation of the data? In a Bayesian model-learning framework the a...
Gurinder S. Atwal, William Bialek