International audienceIn robust incremental elicitation, it is quite common to make recommendations and to select queries by using a minimax regret criterion, which corresponds to a pessimistic attitude. In this paper, we explore its optimistic counterpart, showing this new approach enjoys the same convergence properties. While this optimistic approach does not offer the same kind of guarantees than minimax approaches, it still offers some other interesting properties. Finally, we illustrate with some experiments that the best approach amongst the two approaches heavily depends on the underlying setting
International audienceThis paper proposes incremental preference elicitation methods for multicri-te...
Markov decision processes (MDPs) have proven to be a useful model for sequential decision- theoretic...
As systems dealing with preferences become more sophisticated, it becomes essential to deal with var...
International audienceIn robust incremental elicitation, it is quite common to make recommendations ...
In many situations, a set of hard constraints encodes the feasible configurations of some system or ...
We propose new methods of preference elicitation for constraint-based optimization problems based on...
AbstractIn many situations, a set of hard constraints encodes the feasible configurations of some sy...
Our starting point is a setting where a decision maker's uncertainty is represented by a set of prob...
In this paper we consider the extension of non-monotonic preference logic with the distinction betwe...
Markov decision processes (MDPs) have proven to be a useful model for sequential decision- theoretic...
International audienceIn this paper, we propose an interactive version of the Borda method for colle...
peer reviewedAs systems dealing with preferences become more sophisticated, it becomes essential to ...
Classic direct mechanisms suffer from the drawback of requiring full type (or utility function) reve...
peer reviewedIn this paper we consider the extension of non-monotonic preference logic with the dist...
Abstract. The Choquet integral is one of the most sophisticated and expressive preference models use...
International audienceThis paper proposes incremental preference elicitation methods for multicri-te...
Markov decision processes (MDPs) have proven to be a useful model for sequential decision- theoretic...
As systems dealing with preferences become more sophisticated, it becomes essential to deal with var...
International audienceIn robust incremental elicitation, it is quite common to make recommendations ...
In many situations, a set of hard constraints encodes the feasible configurations of some system or ...
We propose new methods of preference elicitation for constraint-based optimization problems based on...
AbstractIn many situations, a set of hard constraints encodes the feasible configurations of some sy...
Our starting point is a setting where a decision maker's uncertainty is represented by a set of prob...
In this paper we consider the extension of non-monotonic preference logic with the distinction betwe...
Markov decision processes (MDPs) have proven to be a useful model for sequential decision- theoretic...
International audienceIn this paper, we propose an interactive version of the Borda method for colle...
peer reviewedAs systems dealing with preferences become more sophisticated, it becomes essential to ...
Classic direct mechanisms suffer from the drawback of requiring full type (or utility function) reve...
peer reviewedIn this paper we consider the extension of non-monotonic preference logic with the dist...
Abstract. The Choquet integral is one of the most sophisticated and expressive preference models use...
International audienceThis paper proposes incremental preference elicitation methods for multicri-te...
Markov decision processes (MDPs) have proven to be a useful model for sequential decision- theoretic...
As systems dealing with preferences become more sophisticated, it becomes essential to deal with var...