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CORR
2010
Springer
105views Education» more  CORR 2010»
13 years 6 months ago
Optimism in Reinforcement Learning Based on Kullback-Leibler Divergence
We consider model-based reinforcement learning in finite Markov Decision Processes (MDPs), focussing on so-called optimistic strategies. Optimism is usually implemented by carryin...
Sarah Filippi, Olivier Cappé, Aurelien Gari...
GLOBECOM
2010
IEEE
13 years 5 months ago
Column Generation for Dimensioning Resilient Optical Grid Networks with Relocation
Nowadays, the Quality of Service (QoS) in Optical Grids has become a key issue. An important QoS factor is the resiliency, namely the ability to survive from certain network failur...
Brigitte Jaumard, Jens Buysse, Ali Shaikh, Marc De...
ATAL
2009
Springer
14 years 2 months ago
An empirical analysis of value function-based and policy search reinforcement learning
In several agent-oriented scenarios in the real world, an autonomous agent that is situated in an unknown environment must learn through a process of trial and error to take actio...
Shivaram Kalyanakrishnan, Peter Stone
CPM
2009
Springer
122views Combinatorics» more  CPM 2009»
14 years 2 months ago
Haplotype Inference Constrained by Plausible Haplotype Data
The haplotype inference problem (HIP) asks to find a set of haplotypes which resolve a given set of genotypes. This problem is of enormous importance in many practical fields, su...
Michael R. Fellows, Tzvika Hartman, Danny Hermelin...
INFOCOM
2003
IEEE
14 years 29 days ago
Exploring the trade-off between label size and stack depth in MPLS Routing
— Multiprotocol Label Switching or MPLS technology is being increasingly deployed by several of the largest Internet service providers to solve problems such as traffic engineer...
Anupam Gupta, Amit Kumar, Rajeev Rastogi