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ECML
2007
Springer
16 years 4 days ago
Policy Gradient Critics
We present Policy Gradient Actor-Critic (PGAC), a new model-free Reinforcement Learning (RL) method for creating limited-memory stochastic policies for Partially Observable Markov ...
Daan Wierstra, Jürgen Schmidhuber
MOBICOM
2009
ACM
16 years 14 days ago
Interference management via rate splitting and HARQ over time-varying fading channels
The coexistence of two unlicensed links is considered, where one link interferes with the transmission of the other, over a timevarying, block-fading channel. In the absence of fa...
Marco Levorato, Osvaldo Simeone, Urbashi Mitra
VTC
2008
IEEE
185views Communications» more  VTC 2008»
16 years 10 days ago
Opportunistic Spectrum Access for Energy-Constrained Cognitive Radios
This paper considers a scenario in which a secondary user makes opportunistic use of a channel allocated to some primary network. The primary network operates in a time-slotted ma...
Anh Tuan Hoang, Ying-Chang Liang, David Tung Chong...
HICSS
2003
IEEE
207views Biometrics» more  HICSS 2003»
15 years 11 months ago
Formalizing Multi-Agent POMDP's in the context of network routing
This paper uses partially observable Markov decision processes (POMDP’s) as a basic framework for MultiAgent planning. We distinguish three perspectives: first one is that of a...
Bharaneedharan Rathnasabapathy, Piotr J. Gmytrasie...
ATAL
2009
Springer
16 years 16 days ago
Point-based incremental pruning heuristic for solving finite-horizon DEC-POMDPs
Recent scaling up of decentralized partially observable Markov decision process (DEC-POMDP) solvers towards realistic applications is mainly due to approximate methods. Of this fa...
Jilles Steeve Dibangoye, Abdel-Illah Mouaddib, Bra...