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SURREAL: Open-Source Reinforcement Learning Framework and Robot Manipulation Benchmark

https://surreal.stanford.edu/
BabyAI: First Steps Towards Grounded Language Learning With a Human In the Loop"

Maxime Chevalier-Boisvert et al.: https://arxiv.org/abs/1810.08272
NEP 18 — A dispatch mechanism for NumPy’s high level array functions

Abstact: "We propose the array_function protocol, to allow arguments of NumPy functions to define how that function operates on them. This will allow using NumPy as a high level API for efficient multi-dimensional array operations, even with array implementations that differ greatly from numpy.ndarray."

https://www.numpy.org/neps/nep-0018-array-function-protocol.html
#numpy
These enhancements enable us to process large 3D dark matter distribution and predict the cosmological parameters ΩM, σ8, and ns with unprecedented accuracy arxiv.org/abs/1808.04728
Using Machine Learning to Predict the Evolution of Physics Research

paper : https://arxiv.org/abs/1810.12116 @ArtificialIntelligenceArticles
New research group at Oxford Comp Sci!

Oxford Applied and Theoretical Machine Learning Group (OATML): https://oatml.cs.ox.ac.uk/

#artificialintelligence #bigdata #machinelearning #neuralnetworks
Efficiently measuring a quantum device using machine learning

Lennon et al.: https://arxiv.org/abs/1810.10042

#ArtificialInteligence #QuantumPhysics #Research #Physics #MachineLearning
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NVIDIA researchers developed a #GPU-accelerated reinforcement learning simulator that can teach a virtual robot human-like tasks in record time

https://goo.gl/uToK8K @ArtificialIntelligenceArticles
There's a new #nips2018 D&I co-chair's webpage
With child care diversity workshops and other affinity group information; accessibility and other inclusion notices https://nips2018inclusion.weebly.com
Machine learning & artificial intelligence in the quantum domain - An overview of recent advances
paper : https://arxiv.org/abs/1709.02779 @ArtificialIntelligenceArticles
Preprint: Atlases of cognition with large-scale brain mapping
https://hal.inria.fr/hal-01908189 @ArtificialIntelligenceArticles