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» Constraint-Based Optimization with the Minimax Decision Crit...
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AAAI
2010
13 years 6 months ago
Robust Policy Computation in Reward-Uncertain MDPs Using Nondominated Policies
The precise specification of reward functions for Markov decision processes (MDPs) is often extremely difficult, motivating research into both reward elicitation and the robust so...
Kevin Regan, Craig Boutilier
MSS
2010
IEEE
133views Hardware» more  MSS 2010»
13 years 3 months ago
A trichotomy of attitudes for decision-making under complete ignorance
This paper investigates ‘complete ignorance’ (CI) in the tradition of the CI literature and provides a characterization of possible attitudes toward ignorance. Pessimism, opti...
Ronan Congar, François Maniquet
SIGECOM
2010
ACM
183views ECommerce» more  SIGECOM 2010»
13 years 9 months ago
Assessing regret-based preference elicitation with the UTPREF recommendation system
Product recommendation and decision support systems must generally develop a model of user preferences by querying or otherwise interacting with a user. Recent approaches to elici...
Darius Braziunas, Craig Boutilier
ISIPTA
2005
IEEE
161views Mathematics» more  ISIPTA 2005»
13 years 10 months ago
Decision making under incomplete data using the imprecise Dirichlet model
The paper presents an efficient solution to decision problems where direct partial information on the distribution of the states of nature is available, either by observations of ...
Lev V. Utkin, Thomas Augustin
RECSYS
2009
ACM
13 years 11 months ago
Regret-based optimal recommendation sets in conversational recommender systems
Current conversational recommender systems are unable to offer guarantees on the quality of their recommendations due to a lack of principled user utility models. We develop an ap...
Paolo Viappiani, Craig Boutilier