The Speakers

Konstantin is Leading Researcher at the Artificial Intelligence Institute (AIRI) and holds the same position at the Federal Research Center "Computer Science and Control" of the Russian Academy of Sciences (FRC CSC RAS). His research interests include heuristic search, planning, multi-agent systems, and integrating machine learning and search. He authored over 150 papers and 3 of his most cited papers are dedicated to multi-agent pathfinding (MAPF) and utilizing reinforcement learning (RL) for single-agent grid-based pathfinding. One of his main contributions to MAPF research is the use of Safe Interval Path Planning (SIPP) in MAPF solvers, which is a key part in many modern MAPF solvers. He also developed CCBS, an important variant of Conflict-Based Search (CBS) algorithm capable of handling arbitrary durations of the actions the agents might perform. Recently, he has been focusing on using RL/ML to solve decentralized variants of MAPF.

For more information visit kyakovlev.me.

Guillaume Sartoretti (NUS)

Guillaume Sartoretti joined the Mechanical Engineering Department at the National University of Singapore (NUS) as an Assistant Professor in 2019, where he founded the Multi-Agent Robotic Motion (MARMot) lab. Before that, he was a Postdoctoral Fellow in the Robotics Institute at Carnegie Mellon University (USA), where he worked with Prof. Howie Choset. He received his Ph.D. in robotics from EPFL (Switzerland) in 2016 for his dissertation on "Control of Agent Swarms in Random Environments," under the supervision of Prof. Max-Olivier Hongler. His passion and research lie in understanding and eliciting emergent coordination/cooperation in large multi-agent systems, by identifying what information and mechanisms can help agents reason about their individual role/contribution to each other and to the team. Guillaume was a Manufacturing Futures Initiative (MFI) postdoctoral fellow at CMU in 2018-2019, was awarded an Amazon Research Awards in 2022, as well as an Outstanding Early Career Award from NUS' College of Design and Engineering in 2023.

For more information visit marmotlab.org

Alexey Skrynnik (AIRI)

Аlexey Skrynnik is a Research Scientist with a PhD in Computer Science, specializing in Artificial Intelligence and Machine Learning. His focus on applied Reinforcement Learning and Multi-Agent Systems has led to significant contributions, particularly in decentralized multi-agent pathfinding. Alexey has introduced advanced RL algorithms such as Follower, MATS-LP, and Switcher and developed the POGEMA environment, which has become a key benchmark for these techniques. In addition to his work on multi-agent systems, Alexey's research in hierarchical RL has made waves, especially through his development of the ForgER approach. This method propelled his team to a first-place finish in the NeurIPS 2019 MineRL Diamond competition, showcasing his ability to excel in competitive research environments. Furthermore, he's been leading efforts to combine NLP with RL to improve language-driven task solving, highlighted by his role in directing the RL track of the IGLU competition at NeurIPS 2021/2022

For more information visit tviskaron.github.io.