Sciweavers

129 search results - page 24 / 26
» Abstractive Meeting Summarization as a Markov Decision Proce...
Sort
View
QEST
2006
IEEE
15 years 3 months ago
Compositional Performability Evaluation for STATEMATE
Abstract— This paper reports on our efforts to link an industrial state-of-the-art modelling tool to academic state-of-the-art analysis algorithms. In a nutshell, we enable timed...
Eckard Böde, Marc Herbstritt, Holger Hermanns...
FLAIRS
2004
14 years 11 months ago
State Space Reduction For Hierarchical Reinforcement Learning
er provides new techniques for abstracting the state space of a Markov Decision Process (MDP). These techniques extend one of the recent minimization models, known as -reduction, ...
Mehran Asadi, Manfred Huber
ICRA
2010
IEEE
143views Robotics» more  ICRA 2010»
14 years 8 months ago
Apprenticeship learning via soft local homomorphisms
Abstract— We consider the problem of apprenticeship learning when the expert’s demonstration covers only a small part of a large state space. Inverse Reinforcement Learning (IR...
Abdeslam Boularias, Brahim Chaib-draa
VTC
2008
IEEE
152views Communications» more  VTC 2008»
15 years 4 months ago
Network Controlled Joint Radio Resource Management for Heterogeneous Networks
Abstract— In this paper, we propose a way of achieving optimality in radio resource management (RRM) for heterogeneous networks. We consider a micro or femto cell with two co-loc...
Marceau Coupechoux, Jean Marc Kelif, Philippe Godl...
ROBOCUP
2007
Springer
99views Robotics» more  ROBOCUP 2007»
15 years 4 months ago
Instance-Based Action Models for Fast Action Planning
Abstract. Two main challenges of robot action planning in real domains are uncertain action effects and dynamic environments. In this paper, an instance-based action model is lear...
Mazda Ahmadi, Peter Stone