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Scalable Multi-Agent Model-Based Reinforcement Learning



Vladimir Egorov , Aleksei Shpilman

* AAMAS'2022, cite https://dl.acm.org/doi/abs/10.5555/3535850.3535894 

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Traffic4cast at NeurIPS 2021 -- Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes



Christian Eichenberger , Moritz Neun , Henry Martin , Pedro Herruzo , Markus Spanring , Yichao Lu , Sungbin Choi , Vsevolod Konyakhin , Nina Lukashina , Aleksei Shpilman , Nina Wiedemann , Martin Raubal , Bo Wang , Hai L. Vu , Reza Mohajerpoor , Chen Cai , Inhi Kim , Luca Hermes , Andrew Melnik , Riza Velioglu , Markus Vieth , Malte Schilling , Alabi Bojesomo , Hasan Al Marzouqi , Panos Liatsis , Jay Santokhi , Dylan Hillier , Yiming Yang , Joned Sarwar , Anna Jordan , Emil Hewage , David Jonietz , Fei Tang , Aleksandra Gruca , Michael Kopp , David Kreil , Sepp Hochreiter

* Pre-print under review, submitted to Proceedings of Machine Learning Research 

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Self-Imitation Learning from Demonstrations



Georgiy Pshikhachev , Dmitry Ivanov , Vladimir Egorov , Aleksei Shpilman


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Improving State-of-the-Art in One-Class Classification by Leveraging Unlabeled Data



Farid Bagirov , Dmitry Ivanov , Aleksei Shpilman


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MineRL Diamond 2021 Competition: Overview, Results, and Lessons Learned



Anssi Kanervisto , Stephanie Milani , Karolis Ramanauskas , Nicholay Topin , Zichuan Lin , Junyou Li , Jianing Shi , Deheng Ye , Qiang Fu , Wei Yang , Weijun Hong , Zhongyue Huang , Haicheng Chen , Guangjun Zeng , Yue Lin , Vincent Micheli , Eloi Alonso , François Fleuret , Alexander Nikulin , Yury Belousov , Oleg Svidchenko , Aleksei Shpilman

* Under review for PMLR volume on NeurIPS 2021 competitions 

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Maximum Entropy Model-based Reinforcement Learning



Oleg Svidchenko , Aleksei Shpilman

* NeurIPS'2021 Deep Reinforcement Learning Workshop 

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Simple End-to-end Deep Learning Model for CDR-H3 Loop Structure Prediction



Natalia Zenkova , Ekaterina Sedykh , Tatiana Shugaeva , Vladislav Strashko , Timofei Ermak , Aleksei Shpilman

* NeurIPS 2021 Machine Learning for Structural Biology Workshop 

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Solving Traffic4Cast Competition with U-Net and Temporal Domain Adaptation



Vsevolod Konyakhin , Nina Lukashina , Aleksei Shpilman

* Conference on Neural Information Processing Systems (NeurIPS 2021) Traffic4cast Competition 

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Flatland Competition 2020: MAPF and MARL for Efficient Train Coordination on a Grid World



Florian Laurent , Manuel Schneider , Christian Scheller , Jeremy Watson , Jiaoyang Li , Zhe Chen , Yi Zheng , Shao-Hung Chan , Konstantin Makhnev , Oleg Svidchenko , Vladimir Egorov , Dmitry Ivanov , Aleksei Shpilman , Evgenija Spirovska , Oliver Tanevski , Aleksandar Nikov , Ramon Grunder , David Galevski , Jakov Mitrovski , Guillaume Sartoretti , Zhiyao Luo , Mehul Damani , Nilabha Bhattacharya , Shivam Agarwal , Adrian Egli , Erik Nygren , Sharada Mohanty

* 28 pages, 8 figures 

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Balancing Rational and Other-Regarding Preferences in Cooperative-Competitive Environments



Dmitry Ivanov , Vladimir Egorov , Aleksei Shpilman

* Short version of this paper is accepted to AAMAS 2021 

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