… the learned policy π(a|s) to gather additional states s ∼ dπ(s), and then access optimal action
… If π(a|s) is trained via empirical risk minimization on s ∼ dπ(s) and optimal labels a⋆, and …

Deep reinforcement learning (RL) has emerged as a promising approach for autonomously
acquiring complex behaviors from low-level sensor observations. Although a large portion of …

The purpose of this paper is two fold. First, to revisit the issue of the definition of stress and
to highlight the difficulties with the contemporary definitions and, second, to review the …

MicroRNAs (miRNAs) are crucial for normal embryonic stem (ES) cell self-renewal and
cellular differentiation, but how miRNA gene expression is controlled by the key transcriptional …

The transcription factors OCT4, SOX2, and NANOG have essential roles in early development
and are required for the propagation of undifferentiated embryonic stem (ES) cells in …

Polycomb group proteins are essential for early development in metazoans, but their
contributions to human development are not well understood. We have mapped the Polycomb …

The mechanisms by which embryonic stem (ES) cells self-renew while maintaining the ability
to differentiate into virtually all adult cell types are not well understood. Polycomb group (…

Transcription factors control cell-specific gene expression programs through interactions
with diverse coactivators and the transcription apparatus. Gene activation may involve DNA …

We describe the results of a genome-wide analysis of human cells that suggests that most
protein-coding genes, including most genes thought to be transcriptionally inactive, …

In this article, we describe a method for optimizing control policies, with guaranteed monotonic
improvement. By making several approximations to the theoretically-justified scheme, we …