Aleksei Staroverov — accepted AI-conference papers

2026

Dynamic Neural Potential Field: Online Trajectory Optimization in Presence of Moving Obstacles

Aleksei Staroverov, Muhammad Alhaddad, Aditya Narendra, Konstantin Mironov, Aleksandr Panov

ICRA 2026poster

Generalist robot policies must operate safely and reliably in everyday human environments such as homes, offices, and warehouses, where people and objects move unpredictably. We present Dynamic Neural Potential Field (NPField-GPT), a learning-enhanced model predictive control (MPC) framework that co…

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2026

Recurrent Action Transformer with Memory

Egor Cherepanov, Aleksei Staroverov, Alexey Kovalev, Aleksandr Panov

ICLR 2026poster

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 sequence modeling task. However, in partially observable environments (POMDPs), effective decision-making depends on reta…

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