Search Results for author: Mohammadamin Barekatain

Found 9 papers, 5 papers with code

Discovering faster matrix multiplication algorithms with reinforcement learning

2 code implementations Nature 2022 Alhussein Fawzi, Matej Balog, Aja Huang, Thomas Hubert, Bernardino Romera-Paredes, Mohammadamin Barekatain, Alexander Novikov, Francisco J. R. Ruiz, Julian Schrittwieser, Grzegorz Swirszcz, David Silver, Demis Hassabis, Pushmeet Kohli

Particularly relevant is the case of 4 × 4 matrices in a finite field, where AlphaTensor’s algorithm improves on Strassen’s two-level algorithm for the first time, to our knowledge, since its discovery 50 years ago2.

reinforcement-learning Reinforcement Learning (RL)

Persistent Message Passing

no code implementations ICLR Workshop GTRL 2021 Heiko Strathmann, Mohammadamin Barekatain, Charles Blundell, Petar Veličković

Graph neural networks (GNNs) are a powerful inductive bias for modelling algorithmic reasoning procedures and data structures.

Inductive Bias

Path Planning using Neural A* Search

4 code implementations16 Sep 2020 Ryo Yonetani, Tatsunori Taniai, Mohammadamin Barekatain, Mai Nishimura, Asako Kanezaki

We present Neural A*, a novel data-driven search method for path planning problems.

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

2 code implementations28 Sep 2019 Mohammadamin Barekatain, Ryo Yonetani, Masashi Hamaya

Transfer reinforcement learning (RL) aims at improving the learning efficiency of an agent by exploiting knowledge from other source agents trained on relevant tasks.

Reinforcement Learning (RL) Transfer Reinforcement Learning

Machine learning for Internet of Things data analysis: A survey

no code implementations17 Feb 2018 Mohammad Saeid Mahdavinejad, Mohammadreza Rezvan, Mohammadamin Barekatain, Peyman Adibi, Payam Barnaghi, Amit P. Sheth

This article assesses the different machine learning methods that deal with the challenges in IoT data by considering smart cities as the main use case.

BIG-bench Machine Learning

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

no code implementations9 Jun 2017 Mohammadamin Barekatain, Miquel Martí, Hsueh-Fu Shih, Samuel Murray, Kotaro Nakayama, Yutaka Matsuo, Helmut Prendinger

Despite significant progress in the development of human action detection datasets and algorithms, no current dataset is representative of real-world aerial view scenarios.

Action Detection

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