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AAAI
2007
14 years 16 days ago
Using Expectation Maximization to Find Likely Assignments for Solving CSP's
We present a new probabilistic framework for finding likely variable assignments in difficult constraint satisfaction problems. Finding such assignments is key to efficient sea...
Eric I. Hsu, Matthew Kitching, Fahiem Bacchus, She...
ATAL
2008
Springer
14 years 7 days 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
DALT
2008
Springer
14 years 5 hour ago
Using Temporal Logic to Integrate Goals and Qualitative Preferences into Agent Programming
The core capability of a rational agent is to choose its next action in a rational fashion, a capability that can be put to good use by a designer to satisfy the design objectives ...
Koen V. Hindriks, M. Birna van Riemsdijk
AAAI
2010
13 years 11 months ago
Structured Parameter Elicitation
The behavior of a complex system often depends on parameters whose values are unknown in advance. To operate effectively, an autonomous agent must actively gather information on t...
Li Ling Ko, David Hsu, Wee Sun Lee, Sylvie C. W. O...
NIPS
2007
13 years 11 months ago
Bayes-Adaptive POMDPs
Bayesian Reinforcement Learning has generated substantial interest recently, as it provides an elegant solution to the exploration-exploitation trade-off in reinforcement learning...
Stéphane Ross, Brahim Chaib-draa, Joelle Pi...