Sentence examples for agent preferences from inspiring English sources

"An Inverse Risk-Sensitive Reinforcement Learning Approach to Learning Agent Preferences".

An Inverse Risk-Sensitive Reinforcement Learning Approach to Learning Agent Preferences, Talk or presentation, 24, August, 2017.

The theoretical trade-offs in designing these mechanisms are not well understood and depend on agent preferences.

In our setting, agent preferences over objects are extended to preferences over allocations using the natural lexicographic order.

As a result, the performance of VaR-CR regulation depends on its design (the parameter n) and the agent preferences.

The study seeks to investigate both learners' agent preferences and the effects of pedagogical agents on learners' academic success, motivation and cognitive load.

Under a variety of assumptions on the timing of the game and on the set of possible agent utility functions, I solve for the max-min optimal mechanisms -- those which maximize the principal's payoff against the worst possible agent preference type.

Target agent preference to avoid offender agents or to seek guardian agents is controlled by the parameter (alpha _mathbf{T} in left[ {0,1} right] ).

Guardian agent preference to seek offender agents or to seek target agents is controlled by the parameter (alpha _mathbf{G} in left[ {0,1} right] ).

We show that a robustly presciently stable matching exists for any configuration of agents' preferences.

Equilibrium solutions have the property of stability in that they are spontaneously generated as a function of agents' preferences.