499 search results - page 30 / 100 » Model Minimization in Markov Decision Processes |
ICML
2004
IEEE
16 years 18 days ago
2004
IEEE
Predictive state representations (PSRs) have recently been proposed as an alternative to partially observable Markov decision processes (POMDPs) for representing the state of a dy...
ICIP
2010
IEEE
14 years 9 months ago
2010
IEEE
In this paper, we propose to use 3D information to augment the Markov random field (MRF) model for object recognition. Conventional MRF for image-based object recognition usually ...
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CLIMA
2011
13 years 11 months ago
2011
Multi-agent systems are an increasingly important software paradigm and in many of its applications agents cooperate to achieve a particular goal. This requires the design of effi...
IJCAI
2001
15 years 1 months ago
2001
The progressive processing model allows a system to trade off resource consumption against the quality of the outcome by mapping each activity to a graph of potential solution met...
ATAL
2008
Springer
15 years 1 months ago
2008
Springer
The goal of Reinforcement learning (RL) is to maximize reward (minimize cost) in a Markov decision process (MDP) without knowing the underlying model a priori. RL algorithms tend ...