Sciweavers

152 search results - page 8 / 31
» A game-based abstraction-refinement framework for Markov dec...
Sort
View
AAAI
2012
11 years 9 months ago
Kernel-Based Reinforcement Learning on Representative States
Markov decision processes (MDPs) are an established framework for solving sequential decision-making problems under uncertainty. In this work, we propose a new method for batchmod...
Branislav Kveton, Georgios Theocharous
MKWI
2008
112views Business» more  MKWI 2008»
13 years 8 months ago
A Framework for Querying in Business Process Modelling
: In order to respond quickly to changing market requirements, a business organisation needs to increase the level of agility in all phases of the business process engineering chai...
Ivan Markovic, Alessandro Costa Pereira, Nenad Sto...
ECAI
2006
Springer
13 years 11 months ago
Decision with Uncertainties, Feasibilities, and Utilities: Towards a Unified Algebraic Framework
Several formalisms exist to express and solve decision problems. Each is designed to capture different kinds of knowledge: utilities expressing preferences, uncertainties on the en...
Cédric Pralet, Gérard Verfaillie, Th...
ICRA
2007
IEEE
126views Robotics» more  ICRA 2007»
14 years 1 months ago
A formal framework for robot learning and control under model uncertainty
— While the Partially Observable Markov Decision Process (POMDP) provides a formal framework for the problem of robot control under uncertainty, it typically assumes a known and ...
Robin Jaulmes, Joelle Pineau, Doina Precup
RSS
2007
136views Robotics» more  RSS 2007»
13 years 8 months ago
The Stochastic Motion Roadmap: A Sampling Framework for Planning with Markov Motion Uncertainty
— We present a new motion planning framework that explicitly considers uncertainty in robot motion to maximize the probability of avoiding collisions and successfully reaching a ...
Ron Alterovitz, Thierry Siméon, Kenneth Y. ...