Denis Tarasov

According to our database, Denis Tarasov authored at least 20 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Sample-Efficient Real-World Dexterous Policy Fine-Tuning via Action-Chunked Critics and Normalizing Flows.

Chenyu Yang, Denis Tarasov, Davide Liconti, Hehui Zheng, Robert K. Katzschmann

CoRR, February, 2026

Vision-Language Models Unlock Task-Centric Latent Actions.

Alexander Nikulin, Ilya Zisman, Albina Klepach, Denis Tarasov, Alexander Derevyagin, Andrei Polubarov, Nikita Lyubaykin, Vladislav Kurenkov

CoRR, January, 2026

Object-Centric Latent Action Learning.

Albina Klepach, Alexander Nikulin, Ilya Zisman, Denis Tarasov, Alexander Derevyagin, Andrei Polubarov, Nikita Lyubaykin, Igor Kiselev, Vladislav Kurenkov

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

NinA: Normalizing Flows in Action. Training VLA Models with Normalizing Flows.

Denis Tarasov, Alexander Nikulin, Ilya Zisman, Albina Klepach, Nikita Lyubaykin, Andrei Polubarov, Alexander Derevyagin, Vladislav Kurenkov

CoRR, August, 2025

cadrille: Multi-modal CAD Reconstruction with Online Reinforcement Learning.

Maksim Kolodiazhnyi, Denis Tarasov, Dmitrii Zhemchuzhnikov, Alexander Nikulin, Ilya Zisman, Anna Vorontsova, Anton Konushin, Vladislav Kurenkov, Danila Rukhovich

CoRR, May, 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, February, 2025

Object-Centric Latent Action Learning.

Albina Klepach, Alexander Nikulin, Ilya Zisman, Denis Tarasov, Alexander Derevyagin, Andrei Polubarov, Nikita Lyubaykin, Vladislav Kurenkov

CoRR, February, 2025

Vintix: Action Model via In-Context Reinforcement Learning.

Andrei Polubarov, Nikita Lyubaykin, Alexander Derevyagin, Ilya Zisman, Denis Tarasov, Alexander Nikulin, Vladislav Kurenkov

Proceedings of the Forty-second International Conference on Machine Learning, 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

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Is Value Functions Estimation with Classification Plug-and- play for Offline Reinforcement Learning?

Denis Tarasov, Kirill Brilliantov, Dmitrii Kharlapenko

Trans. Mach. Learn. Res., 2024

The Role of Deep Learning Regularizations on Actors in Offline RL.

Denis Tarasov, Anja Surina, Caglar Gulcehre

CoRR, 2024

Distilling LLMs' Decomposition Abilities into Compact Language Models.

Denis Tarasov, Kumar Shridhar

CoRR, 2024

2023

Predicting perceived ethnicity with data on personal names in Russia.

Alexey Bessudnov, Denis Tarasov, Viacheslav Panasovets, Veronica Kostenko, Ivan Smirnov, Vladimir Uspenskiy

J. Comput. Soc. Sci., October, 2023

CORL: Research-oriented Deep Offline Reinforcement Learning Library.

Denis Tarasov, Alexander Nikulin, Dmitry Akimov, Vladislav Kurenkov, Sergey Kolesnikov

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Revisiting the Minimalist Approach to Offline Reinforcement Learning.

Denis Tarasov, Vladislav Kurenkov, Alexander Nikulin, Sergey Kolesnikov

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Katakomba: Tools and Benchmarks for Data-Driven NetHack.

Vladislav Kurenkov, Alexander Nikulin, Denis Tarasov, Sergey Kolesnikov

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Anti-Exploration by Random Network Distillation.

Alexander Nikulin, Vladislav Kurenkov, Denis Tarasov, Sergey Kolesnikov

Proceedings of the International Conference on Machine Learning, 2023

2022

Let Offline RL Flow: Training Conservative Agents in the Latent Space of Normalizing Flows.

Dmitriy Akimov, Vladislav Kurenkov, Alexander Nikulin, Denis Tarasov, Sergey Kolesnikov

CoRR, 2022

Q-Ensemble for Offline RL: Don't Scale the Ensemble, Scale the Batch Size.

Alexander Nikulin, Vladislav Kurenkov, Denis Tarasov, Dmitry Akimov, Sergey Kolesnikov

CoRR, 2022

2019

Inception Architecture and Residual Connections in Classification of Breast Cancer Histology Images.

Mohammad Ibrahim Sarker, Hyongsuk Kim, Denis Tarasov, Dinar Akhmetzanov

CoRR, 2019