N-Gram Induction Heads for In-Context RL: Improving Stability and Reducing Data Needs. - Ilya Zisman; Alexander Nikulin; Andrei Polubarov; Nikita Lyubaykin; Vladislav Kurenkov (CoRR, 2024)

Vintix: Action Model via In-Context Reinforcement Learning. - Andrey Polubarov; Nikita Lyubaykin; Alexander Derevyagin; Ilya Zisman; Denis Tarasov; Alexander Nikulin; Vladislav Kurenkov (CoRR, 2025)

Latent Action Learning Requires Supervision in the Presence of Distractors. - Alexander Nikulin; Ilya Zisman; Denis Tarasov; Nikita Lyubaykin; Andrei Polubarov; Igor Kiselev; Vladislav Kurenkov (CoRR, 2025)

Object-Centric Latent Action Learning. - Albina Klepach; Alexander Nikulin; Ilya Zisman; Denis Tarasov; Alexander Derevyagin; Andrei Polubarov; Nikita Lyubaykin; Vladislav Kurenkov (CoRR, 2025)

Yes, Q-learning Helps Offline In-Context RL. - Denis Tarasov; Alexander Nikulin; Ilya Zisman; Albina Klepach; Andrei Polubarov; Nikita Lyubaykin; Alexander Derevyagin; Igor Kiselev; Vladislav Kurenkov (CoRR, 2025)