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ORCIDVladislav Kurenkov
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2020 – today
- 2024
[c7]Viacheslav Sinii, Alexander Nikulin, Vladislav Kurenkov, Ilya Zisman, Sergey Kolesnikov:
In-Context Reinforcement Learning for Variable Action Spaces. ICML 2024- [c6]Ilya Zisman, Vladislav Kurenkov, Alexander Nikulin, Viacheslav Sinii, Sergey Kolesnikov:
Emergence of In-Context Reinforcement Learning from Noise Distillation. ICML 2024 - [i14]Alexander Nikulin, Ilya Zisman, Alexey Zemtsov, Viacheslav Sinii, Vladislav Kurenkov, Sergey Kolesnikov:
XLand-100B: A Large-Scale Multi-Task Dataset for In-Context Reinforcement Learning. CoRR abs/2406.08973 (2024) - 2023
- [c5]Alexander Nikulin
, Vladislav Kurenkov, Denis Tarasov, Sergey Kolesnikov:
Anti-Exploration by Random Network Distillation. ICML 2023: 26228-26244 - [c4]Vladislav Kurenkov, Alexander Nikulin, Denis Tarasov, Sergey Kolesnikov:
Katakomba: Tools and Benchmarks for Data-Driven NetHack. NeurIPS 2023 - [c3]Denis Tarasov, Vladislav Kurenkov, Alexander Nikulin, Sergey Kolesnikov:
Revisiting the Minimalist Approach to Offline Reinforcement Learning. NeurIPS 2023 - [c2]Denis Tarasov, Alexander Nikulin, Dmitry Akimov, Vladislav Kurenkov, Sergey Kolesnikov:
CORL: Research-oriented Deep Offline Reinforcement Learning Library. NeurIPS 2023 - [i13]Alexander Nikulin, Vladislav Kurenkov, Denis Tarasov, Sergey Kolesnikov:
Anti-Exploration by Random Network Distillation. CoRR abs/2301.13616 (2023) - [i12]Denis Tarasov, Vladislav Kurenkov, Alexander Nikulin, Sergey Kolesnikov:
Revisiting the Minimalist Approach to Offline Reinforcement Learning. CoRR abs/2305.09836 (2023) - [i11]Vladislav Kurenkov, Alexander Nikulin, Denis Tarasov, Sergey Kolesnikov:
Katakomba: Tools and Benchmarks for Data-Driven NetHack. CoRR abs/2306.08772 (2023) - [i10]Alexander Nikulin, Vladislav Kurenkov, Ilya Zisman, Artem Agarkov, Viacheslav Sinii, Sergey Kolesnikov:
XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAX. CoRR abs/2312.12044 (2023) - [i9]Ilya Zisman, Vladislav Kurenkov, Alexander Nikulin, Viacheslav Sinii, Sergey Kolesnikov:
Emergence of In-Context Reinforcement Learning from Noise Distillation. CoRR abs/2312.12275 (2023) - [i8]Viacheslav Sinii, Alexander Nikulin, Vladislav Kurenkov, Ilya Zisman, Sergey Kolesnikov:
In-Context Reinforcement Learning for Variable Action Spaces. CoRR abs/2312.13327 (2023) - 2022
- [c1]Vladislav Kurenkov, Sergey Kolesnikov:
Showing Your Offline Reinforcement Learning Work: Online Evaluation Budget Matters. ICML 2022: 11729-11752 - [i7]Denis Tarasov, Alexander Nikulin, Dmitry Akimov, Vladislav Kurenkov, Sergey Kolesnikov:
CORL: Research-oriented Deep Offline Reinforcement Learning Library. CoRR abs/2210.07105 (2022) - [i6]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) - [i5]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) - 2021
- [i4]Vladislav Kurenkov, Bulat Maksudov:
Guiding Evolutionary Strategies by Differentiable Robot Simulators. CoRR abs/2110.00438 (2021) - [i3]Vladislav Kurenkov, Sergey Kolesnikov:
Showing Your Offline Reinforcement Learning Work: Online Evaluation Budget Matters. CoRR abs/2110.04156 (2021) - 2020
- [i2]Vladislav Kurenkov, Hany Hamed, Sergei Savin:
Learning Stabilizing Control Policies for a Tensegrity Hopper with Augmented Random Search. CoRR abs/2004.02641 (2020)
2010 – 2019
- 2019
- [i1]Vladislav Kurenkov, Bulat Maksudov, Adil Khan:
Task-Oriented Language Grounding for Language Input with Multiple Sub-Goals of Non-Linear Order. CoRR abs/1910.12354 (2019)
Coauthor Index
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