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» Approximating Markov Processes by Averaging
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JAIR
2010
115views more  JAIR 2010»
13 years 5 months ago
An Investigation into Mathematical Programming for Finite Horizon Decentralized POMDPs
Decentralized planning in uncertain environments is a complex task generally dealt with by using a decision-theoretic approach, mainly through the framework of Decentralized Parti...
Raghav Aras, Alain Dutech
ICTAI
2009
IEEE
13 years 5 months ago
TiMDPpoly: An Improved Method for Solving Time-Dependent MDPs
We introduce TiMDPpoly, an algorithm designed to solve planning problems with durative actions, under probabilistic uncertainty, in a non-stationary, continuous-time context. Miss...
Emmanuel Rachelson, Patrick Fabiani, Fréd&e...
AAAI
2012
11 years 9 months ago
Planning in Factored Action Spaces with Symbolic Dynamic Programming
We consider symbolic dynamic programming (SDP) for solving Markov Decision Processes (MDP) with factored state and action spaces, where both states and actions are described by se...
Aswin Raghavan, Saket Joshi, Alan Fern, Prasad Tad...
NIPS
1996
13 years 8 months ago
Multidimensional Triangulation and Interpolation for Reinforcement Learning
Dynamic Programming, Q-learning and other discrete Markov Decision Process solvers can be applied to continuous d-dimensional state-spaces by quantizing the state space into an arr...
Scott Davies
EUROMICRO
2005
IEEE
14 years 1 months ago
Software Security Analysis - Execution Phase Audit
Code revision of a leading telecom product was performed, combining manual audit and static analysis tools. On average, one exploitable vulnerability was found for every 4000 line...
Bengt Carlsson, Dejan Baca