Resolving Spatial-Time Conflicts In A Set Of Any-angle Or Angle-constrained Grid Paths. - Konstantin S. Yakovlev; Anton Andreychuk (CoRR, 2016)

Any-Angle Pathfinding for Multiple Agents Based on SIPP Algorithm. - Konstantin S. Yakovlev; Anton Andreychuk (ICAPS, 2017)

Applying MAPP Algorithm for Cooperative Path Finding in Urban Environments. - Anton Andreychuk; Konstantin S. Yakovlev (ICR, 2017)

Two Techniques That Enhance the Performance of Multi-robot Prioritized Path Planning. - Anton Andreychuk; Konstantin S. Yakovlev (AAMAS, 2018)

Path Finding for the Coalition of Co-operative Agents Acting in the Environment with Destructible Obstacles. - Anton Andreychuk; Konstantin S. Yakovlev (ICR, 2018)

Multi-robot Path Planning in Well-formed Infrastructures: Prioritized Planning vs. Prioritized Wait Adjustment (Preliminary Results). - Anton Andreychuk; Konstantin S. Yakovlev (CoRR, 2018)

eLIAN: Enhanced Algorithm for Angle-constrained Path Finding. - Anton Andreychuk; Natalia Soboleva; Konstantin S. Yakovlev (CoRR, 2018)

Prioritized Multi-agent Path Finding for Differential Drive Robots. - Konstantin S. Yakovlev; Anton Andreychuk; Vitaly Vorobyev (ECMR, 2019)

Combining Safe Interval Path Planning and Constrained Path Following Control: Preliminary Results. - Konstantin S. Yakovlev; Anton Andreychuk; Juliya Belinskaya; Dmitry Makarov (ICR, 2019)

Multi-Agent Pathfinding with Continuous Time. - Anton Andreychuk; Konstantin S. Yakovlev; Dor Atzmon; Roni Stern (IJCAI, 2019)

Multi-Agent Pathfinding (MAPF) with Continuous Time. - Anton Andreychuk; Konstantin S. Yakovlev; Dor Atzmon; Roni Stern (CoRR, 2019)

Revisiting Bounded-Suboptimal Safe Interval Path Planning. - Konstantin S. Yakovlev; Anton Andreychuk; Roni Stern (ICAPS, 2020)

On the Application of Safe-Interval Path Planning to a Variant of the Pickup and Delivery Problem. - Konstantin S. Yakovlev; Anton Andreychuk; Tomás Rybecký; Miroslav Kulich (ICINCO, 2020)

Multi-agent Path Finding with Kinematic Constraints via Conflict Based Search. - Anton Andreychuk (RCAI, 2020)

Improving Continuous-time Conflict Based Search. - Anton Andreychuk; Konstantin S. Yakovlev; Eli Boyarski; Roni Stern (AAAI, 2021)

Towards Time-Optimal Any-Angle Path Planning With Dynamic Obstacles. - Konstantin S. Yakovlev; Anton Andreychuk (ICAPS, 2021)

Towards Narrowing the Search in Bounded-Suboptimal Safe Interval Path Planning. - Tomás Rybecký; Miroslav Kulich; Anton Andreychuk; Konstantin S. Yakovlev (SOCS, 2021)

Analysis of the Anytime MAPF Solvers Based on the Combination of Conflict-Based Search (CBS) and Focal Search (FS). - Ilya Ivanashev; Anton Andreychuk; Konstantin S. Yakovlev (MICAI (1), 2022)

Lower and Upper Bounds for Multi-Agent Multi-Item Pickup and Delivery: When a Decoupled Approach is Good Enough (Extended Abstract). - David Zahrádka; Anton Andreychuk; Miroslav Kulich; Konstantin S. Yakovlev (SOCS, 2022)

Safe Interval Path Planning and Flatness-Based Control for Navigation of a Mobile Robot among Static and Dynamic Obstacles. - Konstantin S. Yakovlev; Anton Andreychuk; Juliya Belinskaya; Dmitry Makarov (Autom. Remote. Control., 2022)

Multi-agent pathfinding with continuous time. - Anton Andreychuk; Konstantin S. Yakovlev; Pavel Surynek; Dor Atzmon; Roni Stern (Artif. Intell., 2022)

POGEMA: Partially Observable Grid Environment for Multiple Agents. - Alexey Skrynnik; Anton Andreychuk; Konstantin S. Yakovlev; Aleksandr I. Panov (CoRR, 2022)

Pathfinding in stochastic environments: learning vs planning. - Alexey Skrynnik; Anton Andreychuk; Konstantin S. Yakovlev; Aleksandr I. Panov (PeerJ Comput. Sci., 2022)

TransPath: Learning Heuristics for Grid-Based Pathfinding via Transformers. - Daniil E. Kirilenko; Anton Andreychuk; Aleksandr Panov; Konstantin S. Yakovlev (AAAI, 2023)

Monte-Carlo Tree Search for Multi-agent Pathfinding: Preliminary Results. - Yelisey Pitanov; Alexey Skrynnik; Anton Andreychuk; Konstantin S. Yakovlev; Aleksandr Panov (HAIS, 2023)

Learn to Follow: Decentralized Lifelong Multi-Agent Pathfinding via Planning and Learning. - Alexey Skrynnik; Anton Andreychuk; Maria Nesterova; Konstantin S. Yakovlev; Aleksandr Panov (AAAI, 2024)

Decentralized Monte Carlo Tree Search for Partially Observable Multi-Agent Pathfinding. - Alexey Skrynnik; Anton Andreychuk; Konstantin S. Yakovlev; Aleksandr Panov (AAAI, 2024)

Optimal and Bounded Suboptimal Any-Angle Multi-agent Pathfinding. - Konstantin S. Yakovlev; Anton Andreychuk; Roni Stern (IROS, 2024)

Optimal and Bounded Suboptimal Any-Angle Multi-agent Pathfinding (Extended Abstract). - Konstantin S. Yakovlev; Anton Andreychuk; Roni Stern (SOCS, 2024)

POGEMA: A Benchmark Platform for Cooperative Multi-Agent Navigation. - Alexey Skrynnik; Anton Andreychuk; Anatolii Borzilov; Alexander Chernyavskiy; Konstantin S. Yakovlev; Aleksandr Panov (CoRR, 2024)

When to Switch: Planning and Learning for Partially Observable Multi-Agent Pathfinding. - Alexey Skrynnik; Anton Andreychuk; Konstantin S. Yakovlev; Aleksandr I. Panov (IEEE Trans. Neural Networks Learn. Syst., 2024)

MAPF-GPT: Imitation Learning for Multi-Agent Pathfinding at Scale. - Anton Andreychuk; Konstantin S. Yakovlev; Aleksandr Panov; Alexey Skrynnik (AAAI, 2025)

POGEMA: A Benchmark Platform for Cooperative Multi-Agent Pathfinding. - Alexey Skrynnik; Anton Andreychuk; Anatolii Borzilov; Alexander Chernyavskiy; Konstantin S. Yakovlev; Aleksandr Panov (ICLR, 2025)

Generative models for grid-based and image-based pathfinding. - Daniil E. Kirilenko; Anton Andreychuk; Aleksandr I. Panov; Konstantin S. Yakovlev (Artif. Intell., 2025)

Advancing Learnable Multi-Agent Pathfinding Solvers with Active Fine-Tuning. - Anton Andreychuk; Konstantin S. Yakovlev; Aleksandr Panov; Alexey Skrynnik (CoRR, 2025)