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» Mean-Variance Optimization in Markov Decision Processes
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ATAL
2006
Springer
13 years 11 months ago
Winning back the CUP for distributed POMDPs: planning over continuous belief spaces
Distributed Partially Observable Markov Decision Problems (Distributed POMDPs) are evolving as a popular approach for modeling multiagent systems, and many different algorithms ha...
Pradeep Varakantham, Ranjit Nair, Milind Tambe, Ma...
ATAL
2009
Springer
14 years 2 months ago
Lossless clustering of histories in decentralized POMDPs
Decentralized partially observable Markov decision processes (Dec-POMDPs) constitute a generic and expressive framework for multiagent planning under uncertainty. However, plannin...
Frans A. Oliehoek, Shimon Whiteson, Matthijs T. J....
NIPS
2008
13 years 9 months ago
MDPs with Non-Deterministic Policies
Markov Decision Processes (MDPs) have been extensively studied and used in the context of planning and decision-making, and many methods exist to find the optimal policy for probl...
Mahdi Milani Fard, Joelle Pineau
TMC
2011
219views more  TMC 2011»
13 years 2 months ago
Optimal Channel Access Management with QoS Support for Cognitive Vehicular Networks
We consider the problem of optimal channel access to provide quality of service (QoS) for data transmission in cognitive vehicular networks. In such a network the vehicular nodes ...
Dusit Niyato, Ekram Hossain, Ping Wang
TCOM
2008
128views more  TCOM 2008»
13 years 7 months ago
Cross-Layer Rate and Power Adaptation Strategies for IR-HARQ Systems over Fading Channels with Memory: A SMDP-Based Approach
Abstract--Incremental-redundancy hybrid automatic repeatrequest (IR-HARQ) schemes are proposed in several wireless standards for increased throughput-efficiency and greater reliabi...
Ashok K. Karmokar, Dejan V. Djonin, Vijay K. Bharg...