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Daniel Kudenko

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Data Valuation for Offline Reinforcement Learning

May 19, 2022
Amir Abolfazli, Gregory Palmer, Daniel Kudenko

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MAGNet: Multi-agent Graph Network for Deep Multi-agent Reinforcement Learning

Dec 17, 2020
Aleksandra Malysheva, Daniel Kudenko, Aleksei Shpilman

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Learning to Run with Potential-Based Reward Shaping and Demonstrations from Video Data

Dec 16, 2020
Aleksandra Malysheva, Daniel Kudenko, Aleksei Shpilman

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A comparative evaluation of machine learning methods for robot navigation through human crowds

Dec 16, 2020
Anastasia Gaydashenko, Daniel Kudenko, Aleksei Shpilman

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Deep Learning of Cell Classification using Microscope Images of Intracellular Microtubule Networks

Dec 16, 2020
Aleksei Shpilman, Dmitry Boikiy, Marina Polyakova, Daniel Kudenko, Anton Burakov, Elena Nadezhdina

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Continuous Gesture Recognition from sEMG Sensor Data with Recurrent Neural Networks and Adversarial Domain Adaptation

Dec 16, 2020
Ivan Sosin, Daniel Kudenko, Aleksei Shpilman

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Curriculum Learning with a Progression Function

Aug 02, 2020
Andrea Bassich, Francesco Foglino, Matteo Leonetti, Daniel Kudenko

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Deep Reinforcement Learning with Graph-based State Representations

Apr 29, 2020
Vikram Waradpande, Daniel Kudenko, Megha Khosla

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Uniform State Abstraction For Reinforcement Learning

Apr 06, 2020
John Burden, Daniel Kudenko

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Resource Abstraction for Reinforcement Learning in Multiagent Congestion Problems

Mar 13, 2019
Kleanthis Malialis, Sam Devlin, Daniel Kudenko

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