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» Constraint-based optimization and utility elicitation using ...
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AAAI
2010
13 years 7 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
ICML
2009
IEEE
14 years 6 months ago
Online feature elicitation in interactive optimization
Most models of utility elicitation in decision support and interactive optimization assume a predefined set of "catalog" features over which user preferences are express...
Craig Boutilier, Kevin Regan, Paolo Viappiani
RECSYS
2009
ACM
14 years 4 days 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
UAI
2004
13 years 7 months ago
Regret Minimizing Equilibria and Mechanisms for Games with Strict Type Uncertainty
Mechanism design has found considerable application to the construction of agent-interaction protocols. In the standard setting, the type (e.g., utility function) of an agent is n...
Nathanael Hyafil, Craig Boutilier
CI
2004
116views more  CI 2004»
13 years 5 months ago
Solution Generation with Qualitative Models of Preferences
We consider automated decision aids that help users select the best solution from a large set of options. For such tools to successfully accomplish their task, eliciting and repre...
Boi Faltings, Marc Torrens, Pearl Pu