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Journal Articles
- 2023
[j1]Alexey Bessudnov
, Denis Tarasov, Viacheslav Panasovets, Veronica Kostenko, Ivan Smirnov, Vladimir Uspenskiy:
Predicting perceived ethnicity with data on personal names in Russia. J. Comput. Soc. Sci. 6(2): 589-608 (2023)
Conference and Workshop Papers
- 2023
- [c4]Alexander Nikulin, Vladislav Kurenkov, Denis Tarasov, Sergey Kolesnikov:
Anti-Exploration by Random Network Distillation. ICML 2023: 26228-26244 - [c3]Vladislav Kurenkov, Alexander Nikulin, Denis Tarasov, Sergey Kolesnikov:
Katakomba: Tools and Benchmarks for Data-Driven NetHack. NeurIPS 2023 - [c2]Denis Tarasov, Vladislav Kurenkov, Alexander Nikulin, Sergey Kolesnikov:
Revisiting the Minimalist Approach to Offline Reinforcement Learning. NeurIPS 2023 - [c1]Denis Tarasov, Alexander Nikulin, Dmitry Akimov, Vladislav Kurenkov, Sergey Kolesnikov:
CORL: Research-oriented Deep Offline Reinforcement Learning Library. NeurIPS 2023
Informal and Other Publications
- 2024
- [i10]Denis Tarasov, Kumar Shridhar:
Distilling LLMs' Decomposition Abilities into Compact Language Models. CoRR abs/2402.01812 (2024) - [i9]Denis Tarasov, Kirill Brilliantov, Dmitrii Kharlapenko:
Is Value Functions Estimation with Classification Plug-and-play for Offline Reinforcement Learning? CoRR abs/2406.06309 (2024) - [i8]Denis Tarasov, Anja Surina, Caglar Gulcehre:
The Role of Deep Learning Regularizations on Actors in Offline RL. CoRR abs/2409.07606 (2024) - 2023
- [i7]Alexander Nikulin, Vladislav Kurenkov, Denis Tarasov, Sergey Kolesnikov:
Anti-Exploration by Random Network Distillation. CoRR abs/2301.13616 (2023) - [i6]Denis Tarasov, Vladislav Kurenkov, Alexander Nikulin, Sergey Kolesnikov:
Revisiting the Minimalist Approach to Offline Reinforcement Learning. CoRR abs/2305.09836 (2023) - [i5]Vladislav Kurenkov, Alexander Nikulin, Denis Tarasov, Sergey Kolesnikov:
Katakomba: Tools and Benchmarks for Data-Driven NetHack. CoRR abs/2306.08772 (2023) - 2022
- [i4]Denis Tarasov, Alexander Nikulin, Dmitry Akimov, Vladislav Kurenkov, Sergey Kolesnikov:
CORL: Research-oriented Deep Offline Reinforcement Learning Library. CoRR abs/2210.07105 (2022) - [i3]Alexander Nikulin, Vladislav Kurenkov, Denis Tarasov, Dmitry Akimov, Sergey Kolesnikov:
Q-Ensemble for Offline RL: Don't Scale the Ensemble, Scale the Batch Size. CoRR abs/2211.11092 (2022) - [i2]Dmitriy Akimov, Vladislav Kurenkov, Alexander Nikulin, Denis Tarasov, Sergey Kolesnikov:
Let Offline RL Flow: Training Conservative Agents in the Latent Space of Normalizing Flows. CoRR abs/2211.11096 (2022) - 2019
- [i1]Mohammad Ibrahim Sarker, Hyongsuk Kim, Denis Tarasov, Dinar Akhmetzanov:
Inception Architecture and Residual Connections in Classification of Breast Cancer Histology Images. CoRR abs/1912.04619 (2019)
Coauthor Index
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