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» Relational Partially Observable MDPs
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ACL
2000
13 years 6 months ago
Spoken Dialogue Management Using Probabilistic Reasoning
Spoken dialogue managers have benefited from using stochastic planners such as Markov Decision Processes (MDPs). However, so far, MDPs do not handle well noisy and ambiguous speec...
Nicholas Roy, Joelle Pineau, Sebastian Thrun
AAAI
2006
13 years 6 months ago
Learning Partially Observable Action Schemas
We present an algorithm that derives actions' effects and preconditions in partially observable, relational domains. Our algorithm has two unique features: an expressive rela...
Dafna Shahaf, Eyal Amir
ICST
2009
IEEE
13 years 2 months ago
Timed Testing under Partial Observability
This paper studies the problem of model-based testing of real-time systems that are only partially observable. We model the System Under Test (SUT) using Timed Game Automata (TGA)...
Alexandre David, Kim Guldstrand Larsen, Shuhao Li,...
AAAI
2007
13 years 7 months ago
Purely Epistemic Markov Decision Processes
Planning under uncertainty involves two distinct sources of uncertainty: uncertainty about the effects of actions and uncertainty about the current state of the world. The most wi...
Régis Sabbadin, Jérôme Lang, N...
AAAI
2006
13 years 6 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