Research group

Agent Systems and Reinforcement Learning

Publications

Imitation Learning Approach for AI Driving Olympics Trained on Real-world and Simulation Data Simultaneously

July 2020

Mikita Sazanovich, Konstantin Chaika, Kirill Krinkin, Aleksei Shpilman

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Artificial Intelligence for Prosthetics-challenge solutions

November 2019

Łukasz Kidziński, Carmichael Ong, Sharada Prasanna Mohanty, Jennifer Hicks, Sean F Carroll, Bo Zhou, Hongsheng Zeng, Fan Wang, Rongzhong Lian, Hao Tian, Wojciech Jaśkowski, Garrett Andersen, Odd Rune Lykkebø, Nihat Engin Toklu, Pranav Shyam, Rupesh Kumar Srivastava, Sergey Kolesnikov, Oleksii Hrinchuk, Anton Pechenko, Mattias Ljungström, Zhen Wang, Xu Hu, Zehong Hu, Minghui Qiu, Jun Huang, Aleksei Shpilman, Ivan Sosin, Oleg Svidchenko, Aleksandra Malysheva, Daniel Kudenko, Lance Rane, Aditya Bhatt, Zhengfei Wang, Penghui Qi, Zeyang Yu, Peng Peng, Quan Yuan, Wenxin Li, Yunsheng Tian, Ruihan Yang, Pingchuan Ma, Shauharda Khadka, Somdeb Majumdar, Zach Dwiel, Yinyin Liu, Evren Tumer, Jeremy Watson, Marcel Salathé, Sergey Levine, Scott Delp

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

October 2019

Aleksandra Malysheva, Daniel Kudenko, Aleksei Shpilman

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Deep Multi-Agent Reinforcement Learning with Relevance Graphs

December 2018

Aleksandra Malysheva, Tegg Taekyong Sung, Chae-Bong Sohn, Daniel Kudenko, Aleksei Shpilman

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Framework for Deep Reinforcement Learning with GPU-CPU Multiprocessing

December 2018

Ivan Sosin, Oleg Svidchenko, Aleksandra Malysheva, Daniel Kudenko, Aleksei Shpilman

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

December 2018

A. Gaydashenko, D. Kudenko, A. Shpilman

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Rainbow World Models

November 2018

V. Chockalingam, T. Sung, F. Behbahani, R. Gargeya, A. Sivanantham, A. Malysheva

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

November 2018

I. Sosin, D. Kudenko, A. Shpilman

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

November 2018

A. Malysheva, D. Kudenko, A. Shpilman

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Learning to Run with Reward Shaping from Video Data

July 2018

A. Malysheva, A. Shpilman, D. Kudenko

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Automated refactoring of object-oriented code using clustering ensembles

February 2018

T. Bryskin, A. Shpilman, D. Kudenko

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Behavioural realism and the activation of aggressive concepts in violent video games

January 2018

D. Zendle, D. Kudenko, P. Cairns

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