Learning to Manipulate a Financial Benchmark
نویسندگان
چکیده
منابع مشابه
Learning to Manipulate Objects with a Human Teacher
Our research is motivated by the promise of robots that operate in human environments to assist people on a daily basis. It is not feasible to pre-program these robots will every skill needed, they will have to adapt and learn after they are deployed. In our view, these robots should be able to learn on their own–discovering new skills and mastering known skills through practice. Additionally, ...
متن کاملA Financial Benchmark for GPGPU Compilation
Commodity many-core hardware is now mainstream, driven in particular by the evolution of general purpose graphics programming units (GPGPUs), but parallel programming models are lagging behind in effectively exploiting the available application parallelism. There are two principal reasons. First, real-world applications often exhibit a rich composition of nested parallelism, whose statical extr...
متن کاملRanking Publications : To Manipulate or Not to Manipulate ∗
We develop a multi-period theoretical model to characterize the relationship between a publication that ranks universities and prospective attendees – high school students – who might view the ranking and use it to help decide which university to attend. We assert that published rankings not only offer information about the objective quality of universities, but also have an effect on the prest...
متن کاملRobobarista: Learning to Manipulate Novel Objects via Deep Multimodal Embedding
There is a large variety of objects and appliances in human environments, such as stoves, coffee dispensers, juice extractors, and so on. It is challenging for a roboticist to program a robot for each of these object types and for each of their instantiations. In this work, we present a novel approach to manipulation planning based on the idea that many household objects share similarly-operate...
متن کاملA Benchmark for Classifier Learning
Although many algorithms for learning from examples have been developed and many comparisons have been reported, there is no generally accepted benchmark for classiier learning. The existence of a standard benchmark would greatly assist such comparisons. Sixteen dimensions are proposed to describe classiication tasks. Based on these, thirteen real-world and synthetic datasets are chosen by a se...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Social Science Research Network
سال: 2022
ISSN: ['1556-5068']
DOI: https://doi.org/10.2139/ssrn.4219227