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Alexander Chernyavskiy

2 accepted papers

2026

Methods for Optimization Problems with Markovian Stochasticity and Non-Euclidean Geometry

AAAI 2026technical

This paper examines a variety of classical optimization problems, including well-known minimization tasks and more general variational inequalities. We consider a stochastic formulation of these problems and, unlike most previous work, we take into account the complex Markov nature of the noise. We

Cited by 0SourcePDFScholar
2025

POGEMA: A Benchmark Platform for Cooperative Multi-Agent Pathfinding

ICLR 2025poster

Multi-agent reinforcement learning (MARL) has recently excelled in solving challenging cooperative and competitive multi-agent problems in various environments, typically involving a small number of agents and full observability. Moreover, a range of crucial robotics-related tasks, such as multi-rob…