| Mastering the game of stratego with model-free multiagent reinforcement learning J Perolat, B De Vylder, D Hennes, E Tarassov, F Strub, V de Boer, ... Science 378 (6623), 990-996, 2022 | 146 | 2022 |
| Deep multi-agent reinforcement learning with relevance graphs A Malysheva, TT Sung, CB Sohn, D Kudenko, A Shpilman arXiv preprint arXiv:1811.12557, 2018 | 52 | 2018 |
| Artificial intelligence for prosthetics: Challenge solutions Ł Kidziński, C Ong, SP Mohanty, J Hicks, S Carroll, B Zhou, H Zeng, ... The NeurIPS'18 Competition: From Machine Learning to Intelligent …, 2020 | 43 | 2020 |
| Magnet: Multi-agent graph network for deep multi-agent reinforcement learning A Malysheva, D Kudenko, A Shpilman 2019 XVI International Symposium" Problems of Redundancy in Information and …, 2019 | 22 | 2019 |
| Extending World Models for Multi-Agent Reinforcement Learning in MALMÖ. V Chockalingam, TTK Sung, FMP Behbahani, R Gargeya, A Sivanantham, ... AIIDE Workshops, 2018 | 6 | 2018 |
| Learning to run with potential-based reward shaping and demonstrations from video data A Malysheva, D Kudenko, A Shpilman 2018 15th International Conference on Control, Automation, Robotics and …, 2018 | 5 | 2018 |
| End-to-end deep object tracking with circular loss function for rotated bounding box V Belyaev, A Malysheva, A Shpilman 2019 XVI International Symposium" Problems of Redundancy in Information and …, 2019 | 2 | 2019 |
| Learning to run with reward shaping from video data A Malysheva, A Shpilman, D Kudenko Workshop on Adaptive Learning Agents (ALA) at the Federated AI Meeting 18, 2018 | 2 | 2018 |
