Denis Tarasov

According to our database, Denis Tarasov authored at least 12 papers between 2019 and 2025.

Collaborative distances:

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

2025

Vintix: Action Model via In-Context Reinforcement Learning.

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

CoRR, January, 2025

2024

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

Denis Tarasov, Anja Surina, Caglar Gulcehre

CoRR, 2024

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

Denis Tarasov, Kirill Brilliantov, Dmitrii Kharlapenko

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