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124
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ATAL
2010
Springer
15 years 3 months ago
Learning multi-agent state space representations
This paper describes an algorithm, called CQ-learning, which learns to adapt the state representation for multi-agent systems in order to coordinate with other agents. We propose ...
Yann-Michaël De Hauwere, Peter Vrancx, Ann No...
141
Voted
CI
2011
93views more  CI 2011»
14 years 9 months ago
Supporting clinical processes and decisions by hierarchical planning and scheduling
This paper is focused on how a general-purpose hierarchical planning representation, based on the HTN paradigm, can be used to support the representation of oncology treatment pro...
Juan Fernández-Olivares, Luis A. Castillo, ...
126
Voted
ML
2006
ACM
15 years 2 months ago
Universal parameter optimisation in games based on SPSA
Most game programs have a large number of parameters that are crucial for their performance. While tuning these parameters by hand is rather difficult, efficient and easy to use ge...
Levente Kocsis, Csaba Szepesvári
133
Voted
GLOBECOM
2010
IEEE
15 years 12 days ago
Routing and Spectrum Allocation in OFDM-Based Optical Networks with Elastic Bandwidth Allocation
Orthogonal Frequency Division Multiplexing (OFDM) has been recently proposed as a modulation technique for optical networks, due to its good spectral efficiency and impairment tole...
Kostas Christodoulopoulos, Ioannis Tomkos, Emmanou...
SPAA
2004
ACM
15 years 7 months ago
Adaptive channel queue routing on k-ary n-cubes
This paper introduces a new adaptive method, Channel Queue Routing (CQR), for load-balanced routing on k-ary n-cube interconnection networks. CQR estimates global congestion in th...
Arjun Singh, William J. Dally, Amit K. Gupta, Bria...