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
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
MAGNet: Multi-agent Graph Network for Deep Multi-agent Reinforcement Learning
October 2019
Aleksandra Malysheva, Daniel Kudenko, Aleksei Shpilman
Deep Multi-Agent Reinforcement Learning with Relevance Graphs
December 2018
Aleksandra Malysheva, Tegg Taekyong Sung, Chae-Bong Sohn, Daniel Kudenko, Aleksei Shpilman
Framework for Deep Reinforcement Learning with GPU-CPU Multiprocessing
December 2018
Ivan Sosin, Oleg Svidchenko, Aleksandra Malysheva, Daniel Kudenko, Aleksei Shpilman
A comparative evaluation of machine learning methods for robot navigation through human crowds
December 2018
A. Gaydashenko, D. Kudenko, A. Shpilman
Continuous Gesture Recognition from sEMG Sensor Data with Recurrent Neural Networks and Adversarial Domain Adaptation
November 2018
I. Sosin, D. Kudenko, A. Shpilman
Learning to Run with Potential-Based Reward Shaping and Demonstrations from Video Data
November 2018
A. Malysheva, D. Kudenko, A. Shpilman
Rainbow World Models
November 2018
V. Chockalingam, T. Sung, F. Behbahani, R. Gargeya, A. Sivanantham, A. Malysheva
Learning to Run with Reward Shaping from Video Data
July 2018
A. Malysheva, A. Shpilman, D. Kudenko
Automated Refactoring of Object-Oriented Code Using Clustering Ensembles
June 2018
Timofey Bryskin, Alexey Shpilman, and Daniel Kudenko
Behavioural realism and the activation of aggressive concepts in violent video games
January 2018
D. Zendle, D. Kudenko, P. Cairns