About Me

Lead Research Scientist @ Reinforcement Learning Team @ Tinkoff

Research Interests

Publications

  1. XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAX*
    NeurIPS, Intrinsically Motivated Open-ended Learning Workshop, 2023
    Alexander Nikulin, Vladislav Kurenkov, Ilya Zisman, Artem Agarkov, Viacheslav Sinii, Sergey Kolesnikov
    [arXiv] [src]

  2. Revisiting the Minimalist Approach to Offline Reinforcement Learning*
    NeurIPS, 2023
    Denis Tarasov, Vladislav Kurenkov, Alexander Nikulin, Sergey Kolesnikov
    [arXiv] [src]

  3. Katakomba: Tools and Benchmarks for Data-Driven NetHack
    NeurIPS, 2023
    Vladislav Kurenkov, Alexander Nikulin, Denis Tarasov, Sergey Kolesnikov
    [arXiv] [src]

  4. CORL: Research-oriented Deep Offline Reinforcement Learning Library
    NeurIPS, 2023
    NeurIPS, 3nd Offline Reinforcement Learning Workshop, 2022
    Denis Tarasov, Alexander Nikulin, Dmitry Akimov, Vladislav Kurenkov, Sergey Kolesnikov
    [arXiv] [src]

  5. Anti-Exploration by Random Network Distillation
    ICML, Main, 2023
    Alexander Nikulin, Vladislav Kurenkov, Denis Tarasov, Sergey Kolesnikov
    [arXiv] [src]

  6. Q-Ensemble for Offline RL: Don’t Scale the Ensemble, Scale the Batch Size
    NeurIPS, 3nd Offline Reinforcement Learning Workshop, 2022
    Alexander Nikulin, Vladislav Kurenkov, Denis Tarasov, Dmitry Akimov, Sergey Kolesnikov
    [arXiv] [src]

  7. Let Offline RL Flow: Training Conservative Agents in the Latent Space of Normalizing Flows
    NeurIPS, 3nd Offline Reinforcement Learning Workshop, 2022
    Dmitriy Akimov, Vladislav Kurenkov, Alexander Nikulin, Denis Tarasov, Sergey Kolesnikov
    [arXiv] [src]

  8. Showing Your Offline Reinforcement Learning Work: Online Evaluation Budget Matters
    ICML, Main, Spotlight, 2022
    NeurIPS, 2nd Offline Reinforcement Learning Workshop, 2021
    Vladislav Kurenkov, Sergey Kolesnikov
    [arXiv] [src]

  9. Prompts and Pre-Trained Language Models for Offline Reinforcement Learning
    ICLR, Workshop on Generalizable Policy Learning in the Physical World, 2022
    ACL, Workshop on Learning with Natural Language Supervision, 2022
    Denis Tarasov, Vladislav Kurenkov, Sergey Kolesnikov

  10. Guiding Evolutionary Strategies by Differentiable Robot Simulators
    NeurIPS, 4th Robot Learning Workshop, 2021
    Vladislav Kurenkov, Bulat Maksudov
    [arXiv] [src]

  11. Task-Oriented Language Grounding for Language Input with Multiple Sub-Goals of Non-Linear Order
    EEML, 2020
    Vladislav Kurenkov, Bulat Maksudov, Adil Khan
    [arXiv] [src]

  12. Learning Stabilizing Control Policies for a Tensegrity Hopper with Augmented Random Search
    IEEE ICIEAM, 2020
    Vladislav Kurenkov, Hany Hamed, Sergei Savin
    [ieee] [arXiv] [src]

  13. [RU] Mathematical Modeling of Tensegrity Robots with Rigid Rods
    Computer Research and Modeling, 2020
    Sergei Savin, Lyudmila Vorochaeva, Vladislav Kurenkov
    [mathnet] [src]

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