Aleksandra Malysheva

Publication Activity (10 Years)

Years Active: 2018-2022
Publications (10 Years): 10

Top Topics

Distributed Control

Learning Agents

Reinforcement Learning

Top Venues

AIIDE Workshops

Publications

Julien Pérolat, Bart De Vylder, Daniel Hennes, Eugene Tarassov, Florian Strub, Vincent de Boer, Paul Muller, Jerome T. Connor, Neil Burch, Thomas W. Anthony, Stephen McAleer, Romuald Elie, Sarah H. Cen, Zhe Wang, Audrunas Gruslys, Aleksandra Malysheva, Mina Khan, Sherjil Ozair, Finbarr Timbers, Toby Pohlen, Tom Eccles, Mark Rowland, Marc Lanctot, Jean-Baptiste Lespiau, Bilal Piot, Shayegan Omidshafiei, Edward Lockhart, Laurent Sifre, Nathalie Beauguerlange, Rémi Munos, David Silver, Satinder Singh, Demis Hassabis, Karl Tuyls
Mastering the Game of Stratego with Model-Free Multiagent Reinforcement Learning. CoRR (2022)
Aleksandra Malysheva, Daniel Kudenko, Aleksei Shpilman
Learning to Run with Potential-Based Reward Shaping and Demonstrations from Video Data. CoRR (2020)
Vladislav Belyaev, Aleksandra Malysheva, Aleksei Shpilman
End-to-end Deep Object Tracking with Circular Loss Function for Rotated Bounding Box. CoRR (2020)
Aleksandra Malysheva, Daniel Kudenko, Aleksei Shpilman
MAGNet: Multi-agent Graph Network for Deep Multi-agent Reinforcement Learning. CoRR (2020)
Lukasz Kidzinski, Carmichael F. Ong, Sharada Prasanna Mohanty, Jennifer L. Hicks, Sean F. Carroll, Bo Zhou, Hong-cheng Zeng, Fan Wang, Rongzhong Lian, Hao Tian, Wojciech Jaskowski, 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 D. Watson, Marcel Salathé, Sergey Levine, Scott L. Delp
Artificial Intelligence for Prosthetics - challenge solutions. CoRR (2019)
Aleksandra Malysheva, Daniel Kudenko, Aleksei Shpilman
MAGNet: Multi-agent Graph Network for Deep Multi-agent Reinforcement Learning. REDUNDANCY (2019)
Vladislav Belyaev, Aleksandra Malysheva, Aleksei Shpilman
End-to-end Deep Object Tracking with Circular Loss Function for Rotated Bounding Box. REDUNDANCY (2019)
Valliappa Chockalingam, Tegg Tae Kyong Sung, Feryal Behbahani, Rishab Gargeya, Amlesh Sivanantham, Aleksandra Malysheva
Extending World Models for Multi-Agent Reinforcement Learning in MALMÖ. AIIDE Workshops (2018)
Aleksandra Malysheva, Tegg Tae Kyong Sung, Chae-Bong Sohn, Daniel Kudenko, Aleksei Shpilman
Deep Multi-Agent Reinforcement Learning with Relevance Graphs. CoRR (2018)
Aleksandra Malysheva, Daniel Kudenko, Aleksei Shpilman
Learning to Run with Potential-Based Reward Shaping and Demonstrations from Video Data. ICARCV (2018)