Mohammadamin Barekatain | DeepAI

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Featured Co-authors

Petar Veličković
59 publications
Yutaka Matsuo
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David Silver
52 publications
Charles Blundell
45 publications
Payam Barnaghi
21 publications
Ryo Yonetani
19 publications
Heiko Strathmann
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Asako Kanezaki
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Julian Schrittwieser
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Ioannis Antonoglou
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Simon Schmitt
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∙ 04/13/2021

Learning and Planning in Complex Action Spaces

Many important real-world problems have action spaces that are high-dime...

2 Thomas Hubert, et al. ∙

∙ 04/13/2021

Online and Offline Reinforcement Learning by Planning with a Learned Model

Learning efficiently from small amounts of data has long been the focus ...

43 Julian Schrittwieser, et al. ∙

∙ 03/16/2021

Modeling positional effects of regulatory sequences with spline transformations increases prediction accuracy of deep neural networks

Motivation Regulatory sequences are not solely defined by their nucleic...

0 Mohammadamin Barekatain, et al. ∙

∙ 03/01/2021

Persistent Message Passing

Graph neural networks (GNNs) are a powerful inductive bias for modelling...

0 Heiko Strathmann, et al. ∙

∙ 09/16/2020

Path Planning using Neural A* Search

We present Neural A*, a novel data-driven search algorithm for path plan...

6 Ryo Yonetani, et al. ∙

∙ 09/28/2019

MULTIPOLAR: Multi-Source Policy Aggregation for Transfer Reinforcement Learning between Diverse Environmental Dynamics

Transfer reinforcement learning (RL) aims at improving learning efficien...

6 Mohammadamin Barekatain, et al. ∙

∙ 02/17/2018

Machine learning for Internet of Things data analysis: A survey

Rapid developments in hardware, software, and communication technologies...

0 Mohammad Saeid Mahdavinejad, et al. ∙

∙ 06/09/2017

Okutama-Action: An Aerial View Video Dataset for Concurrent Human Action Detection

Despite significant progress in the development of human action detectio...

0 Mohammadamin Barekatain, et al. ∙

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