… Correct Gradient Estimators with DiCE In this section, we propose the Infinitely Differentiable
Monte-Carlo Estimator (DICE), a practical algorithm for programatically generating correct …

… Correct Gradient Estimators with DiCE In this section, we propose the Infinitely Differentiable
Monte-Carlo Estimator (DICE), a practical algorithm for programatically generating correct …

… To improve the sample efficiency of DiCE, we propose a new … Instead, we must construct
Monte Carlo estimates of the … , the infinitely differentiable Monte-Carlo estimator (DiCE) (…

… II, we review important background knowledge required to understand the general theory
of ADMC and its applications, including automatic differentiation, estimation on Monte Carlo …

… pure Monte-Carlo estimates of the objective, introducing unacceptable variance in estimates
of … We compare the original DiCE estimator to Loaded DiCE, and the objective proposed by …

… To improve the sample efficiency of DiCE, we propose a new … Instead, we must construct
Monte Carlo estimates of the … , the infinitely differentiable Monte-Carlo estimator (DiCE) (…

… estimation, implemented for example by DiCE and its variants, always add bias and can also
add variance to metagradient estimation… In our derivations we use the Monte Carlo return 고…

… events, such as the tossing of a pair of dice to simulate the casino’s overall business model.
In … and can be approximated by Monte Carlo integration, as we will elaborate in Chap. 2…

… of the efficiency of the Quasi Monte Carlo method of numerical integration, which uses point
… with the application of the Monte Carlo method to phase space integration, and in particular …

… estimates on the distributions they are sampled from. However, their formulation relies on …
Monte-Carlo estimates of the objective, introducing unacceptable variance in estimates of …