Author

A. Kovalev

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#machine learning Preprint Oct 2026

When Plans Change, Remember: Replanning-Guided Visual Memory for Vision-Language-Action Models

Long-horizon, multi-stage Vision-Language-Action (VLA) policies often require visual information that is no longer present in the current observation. Retaining the complete observation history is computationally expensive and highly redundant, motivating selective visual memory. We introduce RePlanMem-VLA (Replanning-...

Victoria Smelova, Daniil Kazachkov, Georgiy Kazantsev et al. · 0 citations

#artificial intelligence Preprint Sep 2026

ALER: Adaptive Learnable Experience Rewriting for Reinforcement Learning

In partially observable reinforcement learning (RL), a later observation can make stored information obsolete or change what it implies for the next decision. Memory architectures and benchmarks for RL mostly test retention, the ability to keep information unchanged until it is needed. We formalize two further requirem...

Oleg Shchendrigin, E. Cherepanov, A. Panov et al. · 0 citations