| Multi-agent pathfinding with continuous time A Andreychuk, K Yakovlev, P Surynek, D Atzmon, R Stern Artificial Intelligence 305, 103662, 2022 | 289 | 2022 |
| Any-angle pathfinding for multiple agents based on SIPP algorithm K Yakovlev, A Andreychuk Proceedings of the international conference on automated planning and …, 2017 | 89 | 2017 |
| Learn to follow: Decentralized lifelong multi-agent pathfinding via planning and learning A Skrynnik, A Andreychuk, M Nesterova, K Yakovlev, A Panov Proceedings of the AAAI conference on artificial intelligence 38 (16), 17541 …, 2024 | 66 | 2024 |
| Improving continuous-time conflict based search A Andreychuk, K Yakovlev, E Boyarski, R Stern Proceedings of the AAAI Conference on Artificial Intelligence 35 (13), 11220 …, 2021 | 59 | 2021 |
| Transpath: Learning heuristics for grid-based pathfinding via transformers D Kirilenko, A Andreychuk, A Panov, K Yakovlev Proceedings of the AAAI Conference on Artificial Intelligence 37 (10), 12436 …, 2023 | 40 | 2023 |
| Prioritized multi-agent path finding for differential drive robots K Yakovlev, A Andreychuk, V Vorobyev 2019 European Conference on Mobile Robots (ECMR), 1-6, 2019 | 36 | 2019 |
| Decentralized monte carlo tree search for partially observable multi-agent pathfinding A Skrynnik, A Andreychuk, K Yakovlev, A Panov Proceedings of the AAAI conference on artificial intelligence 38 (16), 17531 …, 2024 | 35 | 2024 |
| Revisiting bounded-suboptimal safe interval path planning K Yakovlev, A Andreychuk, R Stern Proceedings of the International Conference on Automated Planning and …, 2020 | 33 | 2020 |
| Pogema: A benchmark platform for cooperative multi-agent pathfinding A Skrynnik, A Andreychuk, A Borzilov, A Chernyavskiy, K Yakovlev, ... arXiv preprint arXiv:2407.14931, 2024 | 30 | 2024 |
| When to switch: planning and learning for partially observable multi-agent pathfinding A Skrynnik, A Andreychuk, K Yakovlev, AI Panov IEEE Transactions on Neural Networks and Learning Systems, 2023 | 28 | 2023 |
| Mapf-gpt: Imitation learning for multi-agent pathfinding at scale A Andreychuk, K Yakovlev, A Panov, A Skrynnik Proceedings of the AAAI Conference on Artificial Intelligence 39 (22), 23126 …, 2025 | 22 | 2025 |
| Two techniques that enhance the performance of multi-robot prioritized path planning A Andreychuk, K Yakovlev arXiv preprint arXiv:1805.01270, 2018 | 21 | 2018 |
| Combining safe interval path planning and constrained path following control: preliminary results K Yakovlev, A Andreychuk, J Belinskaya, D Makarov International Conference on Interactive Collaborative Robotics, 310-319, 2019 | 19 | 2019 |
| POGEMA: Partially observable grid environment for multiple agents A Skrynnik, A Andreychuk, K Yakovlev, AI Panov arXiv preprint arXiv:2206.10944, 2022 | 16 | 2022 |
| Monte-carlo tree search for multi-agent pathfinding: Preliminary results Y Pitanov, A Skrynnik, A Andreychuk, K Yakovlev, A Panov International Conference on Hybrid Artificial Intelligence Systems, 649-660, 2023 | 14 | 2023 |
| Pathfinding in stochastic environments: learning vs planning A Skrynnik, A Andreychuk, K Yakovlev, A Panov PeerJ Computer Science 8, e1056, 2022 | 14 | 2022 |
| Planning and learning in multi-agent path finding KS Yakovlev, AA Andreychuk, AA Skrynnik, AI Panov Doklady Mathematics 106 (Suppl 1), S79-S84, 2022 | 13 | 2022 |
| Multi-agent path finding with kinematic constraints via conflict based search A Andreychuk Russian conference on artificial intelligence, 29-45, 2020 | 13 | 2020 |
| Towards time-optimal any-angle path planning with dynamic obstacles K Yakovlev, A Andreychuk Proceedings of the International Conference on Automated Planning and …, 2021 | 12 | 2021 |
| On the Application of Safe-Interval Path Planning to a Variant of the Pickup and Delivery Problem. KS Yakovlev, A Andreychuk, T Rybecký, M Kulich ICINCO, 521-528, 2020 | 12 | 2020 |
Константин Сергеевич Яковлев (Kon...ФИЦ ИУ РАН, ВШЭ, МФТИ, AIRIVerified email at isa.ru
