Denis Tarasov

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 14

Top Topics

Microcalcification Clusters

Reinforcement Learning

Temporal Difference Learning

Top Venues

J. Comput. Soc. Sci.

Publications

Denis Tarasov, Kumar Shridhar
Distilling LLMs' Decomposition Abilities into Compact Language Models. CoRR (2024)
Denis Tarasov, Kirill Brilliantov, Dmitrii Kharlapenko
Is Value Functions Estimation with Classification Plug-and-play for Offline Reinforcement Learning? CoRR (2024)
Vladislav Kurenkov, Alexander Nikulin, Denis Tarasov, Sergey Kolesnikov
Katakomba: Tools and Benchmarks for Data-Driven NetHack. CoRR (2023)
Denis Tarasov, Vladislav Kurenkov, Alexander Nikulin, Sergey Kolesnikov
Revisiting the Minimalist Approach to Offline Reinforcement Learning. CoRR (2023)
Denis Tarasov, Vladislav Kurenkov, Alexander Nikulin, Sergey Kolesnikov
Revisiting the Minimalist Approach to Offline Reinforcement Learning. NeurIPS (2023)
Alexander Nikulin, Vladislav Kurenkov, Denis Tarasov, Sergey Kolesnikov
Anti-Exploration by Random Network Distillation. ICML (2023)
Alexander Nikulin, Vladislav Kurenkov, Denis Tarasov, Sergey Kolesnikov
Anti-Exploration by Random Network Distillation. CoRR (2023)
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) (2023)
Denis Tarasov, Alexander Nikulin, Dmitry Akimov, Vladislav Kurenkov, Sergey Kolesnikov
CORL: Research-oriented Deep Offline Reinforcement Learning Library. NeurIPS (2023)
Vladislav Kurenkov, Alexander Nikulin, Denis Tarasov, Sergey Kolesnikov
Katakomba: Tools and Benchmarks for Data-Driven NetHack. NeurIPS (2023)
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 (2022)
Denis Tarasov, Alexander Nikulin, Dmitry Akimov, Vladislav Kurenkov, Sergey Kolesnikov
CORL: Research-oriented Deep Offline Reinforcement Learning Library. CoRR (2022)
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 (2022)
Mohammad Ibrahim Sarker, Hyongsuk Kim, Denis Tarasov, Dinar Akhmetzanov
Inception Architecture and Residual Connections in Classification of Breast Cancer Histology Images. CoRR (2019)