1.1k citations · 2.3k across the 5 of their papers we have counts for
5 papers
CP-nets: A Tool for Representing and Reasoning withConditional Ceteris Paribus Preference Statements
C. Boutilier, R. I. Brafman, C. Domshlak +2
Information about user preferences plays a key role in automated decision making. In many domains it is desirable to assess such preferences in a qualitative rather than quantitati…
Eliciting Forecasts from Self-interested Experts: Scoring Rules for Decision Makers
Craig Boutilier
Scoring rules for eliciting expert predictions of random variables are usually developed assuming that experts derive utility only from the quality of their predictions (e.g., scor…
Accelerating Reinforcement Learning through Implicit Imitation
C. Boutilier, B. Price
Imitation can be viewed as a means of enhancing learning in multiagent environments. It augments an agent's ability to learn useful behaviors by making intelligent use of the knowl…
Partial-Order Planning with Concurrent Interacting Actions
C. Boutilier, R. I. Brafman
In order to generate plans for agents with multiple actuators, agent teams, or distributed controllers, we must be able to represent and plan using concurrent actions with interact…
Decision-Theoretic Planning: Structural Assumptions and Computational Leverage
C. Boutilier, T. Dean, S. Hanks
Planning under uncertainty is a central problem in the study of automated sequential decision making, and has been addressed by researchers in many different fields, including AI p…