3 papers
cs.LG2026
Recurrent Action Transformer with Memory
Egor Cherepanov, Alexey Staroverov, Alexey K. Kovalev +1
Transformers have become increasingly popular in offline reinforcement learning (RL) due to their ability to treat agent trajectories as sequences, reframing policy learning as a s…
cs.LG2025
Learning Successor Features with Distributed Hebbian Temporal Memory
Evgenii Dzhivelikian, Petr Kuderov, Aleksandr I. Panov
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…
cs.AI2025
Relational Object-Centric Actor-Critic
Leonid Ugadiarov, Vitaliy Vorobyov, Aleksandr I. Panov
The advances in unsupervised object-centric representation learning have significantly improved its application to downstream tasks. Recent works highlight that disentangled object…