We investigate risk-averse stochastic optimization problems with a risk-shaping constraint in the form of a stochastic-order relation. Both univariate and multivariate orders are considered. We extend ...

FPMCO decomposes multi-constraint RL into KL-projection sub-problems, achieving higher reward with lower computing than second-order rivals on the new SCIG robotics benchmark.

As design complexity has scaled upward, the need to provide accurate physical constraints like timing, area, power and port locations have become increasingly important. Of these, Timing Constraints ...