499 search results - page 30 / 100 » Model Minimization in Markov Decision Processes |
ICML
2004
IEEE
14 years 9 months 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
13 years 6 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 ...
CLIMA
2011
12 years 8 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
13 years 10 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
13 years 10 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 ...