This article explores the ways in which some female-authored solarpunk stories employ cyborg models developed by feminist cyberpunk fiction order to continue with its traditional role of liberating/liberated ontological subject. The text contemporary critical readings and analyzes Lauren Beukes’ Moxyland (2008), Camille Meyers’ “Solar Child” (2017), Brenda Cooper’s “For Snake Power” (2018) way ...

Off-policy deep reinforcement learning algorithms commonly compensate for overestimation bias during temporal-difference by utilizing pessimistic estimates of the expected target returns. In this work, we propose Generalized Pessimism Learning (GPL), a strategy employing novel learnable penalty to enact such pessimism. particular, learn alongside critic with dual TD-learning, new procedure esti...

Dee Jones is 35 years old, married, and the mother of three children, all younger than15 years of age. She had been healthy all of her life before she presented with a 2-week history of abdominal discomfort and anorexia. Evaluation revealed moderate jaundice, an enlarged liver, and abnormal liver function tests. An image of the abdomen showed a pancreatic mass and widespread metastatic disease ...

In this paper we make an analogy between the time that storage must be maintained in a optimistic simulation and the blocking time in a conservative simulation. By exploring this analogy, we design two new Global Virtual Time (GVT) protocols for Time Warp systems. The rst protocol is based on null message clock advancement in conservative approaches. Our main contribution is a new protocol insp...

This paper is concerned with the asynchronous form of Q-learning, which applies a stochastic approximation scheme to Markovian data samples. Motivated by recent advances in offline reinforcement learning, we develop an algorithmic framework that incorporates principle pessimism into penalizes infrequently-visited state-action pairs based on suitable lower confidence bounds (LCBs). leads to, amo...

As integrated circuit process technology progresses into the deep sub-micron region, the phenomenon of process variation has a growing impact on the design and analysis of digital circuits and more specifically in the accuracy and integrity of timing analysis methods. The assumptions made by the analytical models, impose excessive and unwanted pessimism in timing analysis. Thus, the necessity o...