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» Learning from Partial Observations
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AI
2011
Springer
12 years 11 months ago
Learning Dialogue POMDP Models from Data
In this paper, we learn the components of dialogue POMDP models from data. In particular, we learn the states, observations, as well as transition and observation functions based o...
Hamid R. Chinaei, Brahim Chaib-draa
ATVA
2009
Springer
100views Hardware» more  ATVA 2009»
14 years 2 months ago
Dynamic Observers for the Synthesis of Opaque Systems
: In this paper, we address the problem of synthesizing opaque systems. A secret predicate S over the runs of a system G is opaque to an external user having partial observability ...
Franck Cassez, Jérémy Dubreil, Herv&...
CORR
2006
Springer
101views Education» more  CORR 2006»
13 years 7 months ago
Metric State Space Reinforcement Learning for a Vision-Capable Mobile Robot
We address the problem of autonomously learning controllers for visioncapable mobile robots. We extend McCallum's (1995) Nearest-Sequence Memory algorithm to allow for genera...
Viktor Zhumatiy, Faustino J. Gomez, Marcus Hutter,...
CVPR
2012
IEEE
11 years 10 months ago
Understanding collective crowd behaviors: Learning a Mixture model of Dynamic pedestrian-Agents
In this paper, a new Mixture model of Dynamic pedestrian-Agents (MDA) is proposed to learn the collective behavior patterns of pedestrians in crowded scenes. Collective behaviors ...
Bolei Zhou, Xiaogang Wang, Xiaoou Tang
CORR
2007
Springer
104views Education» more  CORR 2007»
13 years 7 months ago
Observable Graphs
An edge-colored directed graph is observable if an agent that moves along its edges is able to determine his position in the graph after a sufficiently long observation of the edge...
Raphael M. Jungers, Vincent D. Blondel