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» Reasoning about Partially Observed Actions
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FLAIRS
2008
13 years 9 months ago
Causal Reasoning with Contexts Using Dependent Types
In Artificial Intelligence, a crucial requirement is the ability to reason about actions and their effects on the environment. Traditional approaches which rely on classical logic...
Richard Dapoigny, Patrick Barlatier
ICTAI
1996
IEEE
13 years 11 months ago
Incremental Markov-Model Planning
This paper presents an approach to building plans using partially observable Markov decision processes. The approach begins with a base solution that assumes full observability. T...
Richard Washington
CVPR
2004
IEEE
14 years 9 months ago
Propagation Networks for Recognition of Partially Ordered Sequential Action
We present Propagation Networks (P-Nets), a novel approach for representing and recognizing sequential activities that include parallel streams of action. We represent each activi...
Yifan Shi, Yan Huang, David Minnen, Aaron F. Bobic...
ATAL
2008
Springer
13 years 9 months ago
The permutable POMDP: fast solutions to POMDPs for preference elicitation
The ability for an agent to reason under uncertainty is crucial for many planning applications, since an agent rarely has access to complete, error-free information about its envi...
Finale Doshi, Nicholas Roy
AIPS
2008
13 years 9 months ago
HiPPo: Hierarchical POMDPs for Planning Information Processing and Sensing Actions on a Robot
Flexible general purpose robots need to tailor their visual processing to their task, on the fly. We propose a new approach to this within a planning framework, where the goal is ...
Mohan Sridharan, Jeremy L. Wyatt, Richard Dearden