CityLearn - CityLearn is an open source OpenAI Gym environment for the implementation of Multi-Agent Reinforcement Learning (RL) for building energy coordination and demand response in cities. CleanRL - CleanRL is a Deep Reinforcement Learning library that provides high-quality single-file implementat...
This paper studies the flexible double shop scheduling problem (FDSSP) that considers simultaneously job shop and assembly shop. It brings about the problem of scheduling association of the related tasks. To this end, a reinforcement learning algorithm w
position classification. Green, wild-type-like positions (variants predicted as stable and functional); blue, functional sites (variants predicted as stable, but non-functional); red, total-loss sites (variants predicted as unstable and non-functional); grey, positions where a functional class could...
The aim of the aerobic exercise group was to improve cardiorespiratory fitness, whereas the stretching and toning group served as a control group. Participants in both groups met 3 times a week for 40 to 45 minutes. After 6 months, participants in the aerobic exercise group showed a ...
For the final 26 weeks, only one gym-based session will be supervised. All home-based sessions will be unsupervised and performed in the participant’s own time. All intervention-group participants will be provided with a yearly membership at a community-based health and fitness centre and ...
Lastly, we extend the LLM-as-training-data-generator paradigm to the more challenging multi-label classification tasks for the first time, and AttrPrompt outperforms SimPrompt across all evaluation metrics.2 Related Work LLMs as Training Data Generators. With the remarkable success of large ...
From 1956 to 1970, the USDA promoted the “Food for Fitness, A Daily Food Guide (Basic Four)” that laid down the foundation of diet approach. In 1979, USDA introduced the “Hassle-Free Daily Food Guide”, which was later developed into “Dietary Goals for the United States”. In 1984...
ML Resources(with an emphasis on Python) This document attempts to develop a curated list of Machine Learning resources, including books, papers, software, libraries, notebooks, etc. Most of the libraries are for Python though the rest of the materials here are generally suited for working with...
(TableS2). The random forest test is an ensemble learning method for classification, regression and other tasks that operates by constructing a multitude of decision trees. With this approach it is aimed to predict to which group the mice belong (C, C + WBV, T, or T + WBV). ...
matches to a manually curated repeat library (Supplementary Table3). This suggests recent activity of this transposable element group, as has been previously reported in population-level analyses of other songbird species34. More than half of all insertions and deletions could not be associated with...