Extending World Models for Multi-Agent Reinforcement Learning in MALMÖ. - Valliappa Chockalingam; Tegg Tae Kyong Sung; Feryal M. P. Behbahani; Rishab Gargeya; Amlesh Sivanantham; Aleksandra Malysheva (AIIDE Workshops, 2018)

Learning to Run with Potential-Based Reward Shaping and Demonstrations from Video Data. - Aleksandra Malysheva; Daniel Kudenko; Aleksei Shpilman (ICARCV, 2018)

Deep Multi-Agent Reinforcement Learning with Relevance Graphs. - Aleksandra Malysheva; Tegg Tae Kyong Sung; Chae-Bong Sohn; Daniel Kudenko; Aleksei Shpilman (CoRR, 2018)

End-to-end Deep Object Tracking with Circular Loss Function for Rotated Bounding Box. - Vladislav Belyaev; Aleksandra Malysheva; Aleksei Shpilman (REDUNDANCY, 2019)

MAGNet: Multi-agent Graph Network for Deep Multi-agent Reinforcement Learning. - Aleksandra Malysheva; Daniel Kudenko; Aleksei Shpilman (REDUNDANCY, 2019)

Artificial Intelligence for Prosthetics - challenge solutions. - Lukasz Kidzinski; Carmichael F. Ong; Sharada Prasanna Mohanty; Jennifer L. Hicks; Sean F. Carroll; Bo Zhou; Hong-cheng Zeng; Fan Wang 021; Rongzhong Lian; Hao Tian 005; Wojciech Jaskowski; Garrett Andersen; et al. (CoRR, 2019)

Mastering the Game of Stratego with Model-Free Multiagent Reinforcement Learning. - Julien Pérolat; Bart De Vylder; Daniel Hennes; Eugene Tarassov; Florian Strub; Vincent de Boer; Paul Muller; Jerome T. Connor; Neil Burch; Thomas W. Anthony 001; Stephen McAleer; Romuald Elie; et al. (CoRR, 2022)

Figure Data for the paper "Mastering the Game of Stratego with Model-Free Multiagent Reinforcement Learning". - Julien Pérolat; Bart De Vylder; Daniel Hennes; Eugene Tarassov; Florian Strub; Vincent de Boer; Paul Muller; Jerome T. Connor; Neil Burch; Thomas Anthony 001; Stephen McAleer; Romuald Elie; et al. (Zenodo, 2022)