Petr Kuderov — accepted AI-conference papers

2025

CrafText Benchmark: Advancing Instruction Following in Complex Multimodal Open-Ended World

Zoya Volovikova, Gregory Gorbov, Petr Kuderov, Aleksandr Panov, Alexey Skrynnik

ACL 2025long

Following instructions in real-world conditions requires a capability to adapt to the world’s volatility and entanglement: the environment is dynamic and unpredictable, instructions can be linguistically complex with diverse vocabulary, and the number of possible goals an agent may encounter is vast…

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2025

Learning Successor Features with Distributed Hebbian Temporal Memory

Evgenii Aleksandrovich Dzhivelikian, Petr Kuderov, Aleksandr Panov

ICLR 2025poster

This paper presents a novel approach to address the challenge of online sequence learning for decision making under uncertainty in non-stationary, partially observable environments. The proposed algorithm, Distributed Hebbian Temporal Memory (DHTM), is based on the factor graph formalism and a multi…

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