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» Observational learning in an uncertain world
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ECML
2005
Springer
13 years 11 months ago
Active Learning in Partially Observable Markov Decision Processes
This paper examines the problem of finding an optimal policy for a Partially Observable Markov Decision Process (POMDP) when the model is not known or is only poorly specified. W...
Robin Jaulmes, Joelle Pineau, Doina Precup
AAAI
2006
13 years 7 months ago
Reasoning about Partially Observed Actions
Partially observed actions are observations of action executions in which we are uncertain about the identity of objects, agents, or locations involved in the actions (e.g., we kn...
Megan Nance, Adam Vogel, Eyal Amir
TKDE
2008
146views more  TKDE 2008»
13 years 5 months ago
Toward Managing Uncertain Spatial Information for Situational Awareness Applications
Situational awareness (SA) applications monitor the real world and the entities therein to support tasks such as rapid decision making, reasoning, and analysis. Raw input about unf...
Yiming Ma, Dmitri V. Kalashnikov, Sharad Mehrotra
IJCAI
2007
13 years 7 months ago
Argumentation Based Contract Monitoring in Uncertain Domains
Few existing argumentation frameworks are designed to deal with probabilistic knowledge, and none are designed to represent possibilistic knowledge, making them unsuitable for man...
Nir Oren, Timothy J. Norman, Alun D. Preece