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Learning to imitate human demonstrations via CycleGAN

  03 Feb 2020
By Laura Smith and Marvin Zhang One of the most important markers of intelligence is the ability to learn by watching others. Humans are particularly good at this, often being able to learn tasks ...

NeurIPS – machine learning for health

  29 Jan 2020
The Machine Learning for Health workshop at NeurIPS 2019 brought together machine learning researchers, clinicians, and healthcare data experts. With the theme “what makes machine learning in medici...

Model-based reinforcement learning: theory and practice

  28 Jan 2020
By Michael Janner Reinforcement learning systems can make decisions in one of two ways. In the model-based approach, a system uses a predictive model of the world to ask questions of the form “wh...

AI and human autonomy: an analysis of the interaction between intelligent software agents and human users

  24 Jan 2020
Is our autonomy affected by interacting with intelligent machines designed to persuade us? That’s what researchers at the University of Bristol attempted to find out through an analysis of the inte...

Data-driven deep reinforcement learning

  16 Jan 2020
By Aviral Kumar One of the primary factors behind the success of machine learning approaches in open world settings, such as image recognition and natural language processing, has been the ability ...

Hot papers on arXiv from the past month – December 2019

  14 Jan 2020
What’s hot on arXiv? Here are the most tweeted papers that were uploaded onto arXiv during December 2019....

History playground – finding patterns in historical newspapers

  13 Jan 2020
Ever fancied finding out more about historical trends? Well, thanks to researchers at the University of Bristol, and their History Playground tool, anyone can analyse the content from a collection of ...

Look then listen: Pre-learning environment representations for data-efficient neural instruction following

  06 Nov 2019
By David Gaddy When learning to follow natural language instructions, neural networks tend to be very data hungry – they require a huge number of examples pairing language with actions in order to ...

Deep dynamics models for dexterous manipulation

  03 Oct 2019
By Anusha Nagabandi Dexterous manipulation with multi-fingered hands is a grand challenge in robotics: the versatility of the human hand is as yet unrivaled by the capabilities of robotic systems...

Evaluating and testing unintended memorization in neural networks

  14 Aug 2019
By Nicholas Carlini It is important whenever designing new technologies to ask “how will this affect people’s privacy?” This topic is especially important with regard to machine learning, where...

Artificial intelligence agents begin to learn new skills from watching videos

  29 Jun 2019
Whether it's tying a tie, making slime, fixing a leaky faucet, or some other daily task, millions of people watch how-to videos to learn new skills. Now, artificially intelligent (AI)&n...

Model-based reinforcement learning from pixels with structured latent variable models

  27 May 2019
By Marvin Zhang and Sharad Vikram Imagine a robot trying to learn how to stack blocks and push objects using visual inputs from a camera feed. In order to minimize cost and safety concerns, we want o...

Robots that learn to adapt

  15 May 2019
By Anusha Nagabandi and Ignasi Clavera Humans have the ability to seamlessly adapt to changes in their environments: adults can learn to walk on crutches in just a few seconds, people can adapt almos...

Robots that learn to use improvised tools

  22 Apr 2019
By Annie Xie In many animals, tool-use skills emerge from a combination of observational learning and experimentation. For example, by watching one another, chimpanzees can learn how to use twigs to...

Manipulation by feel

  12 Apr 2019
By Frederik Ebert and Stephen Tian Guiding our fingers while typing, enabling us to nimbly strike a matchstick, and inserting a key in a keyhole all rely on our sense of touch. It has been shown that...

Hot papers on Arxiv from the past month

  11 Apr 2019
What's hot on Arxiv? Here are the most tweeted papers from the past month....





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