Kurenkov, Vladislav

24 publications

ICML 2025 Latent Action Learning Requires Supervision in the Presence of Distractors Alexander Nikulin, Ilya Zisman, Denis Tarasov, Lyubaykin Nikita, Andrei Polubarov, Igor Kiselev, Vladislav Kurenkov

ICLRW 2025 Latent Action Learning Requires Supervision in the Presence of Distractors Alexander Nikulin, Ilya Zisman, Denis Tarasov, Lyubaykin Nikita, Andrei Polubarov, Igor Kiselev, Vladislav Kurenkov

ICLRW 2025 N-Gram Induction Heads for In-Context RL: Improving Stability and Reducing Data Needs Ilya Zisman, Alexander Nikulin, Viacheslav Sinii, Denis Tarasov, Lyubaykin Nikita, Andrei Polubarov, Igor Kiselev, Vladislav Kurenkov

ICLRW 2025 Object-Centric Latent Action Learning Albina Klepach, Alexander Nikulin, Ilya Zisman, Denis Tarasov, Alexander Derevyagin, Andrei Polubarov, Lyubaykin Nikita, Vladislav Kurenkov

ICML 2025 Vintix: Action Model via In-Context Reinforcement Learning Andrei Polubarov, Lyubaykin Nikita, Alexander Derevyagin, Ilya Zisman, Denis Tarasov, Alexander Nikulin, Vladislav Kurenkov

ICLR 2025 XLand-100b: A Large-Scale Multi-Task Dataset for In-Context Reinforcement Learning Alexander Nikulin, Ilya Zisman, Alexey Zemtsov, Vladislav Kurenkov

ICLRW 2025 Yes, Q-Learning Helps Offline In-Context RL Denis Tarasov, Alexander Nikulin, Ilya Zisman, Albina Klepach, Andrei Polubarov, Lyubaykin Nikita, Alexander Derevyagin, Igor Kiselev, Vladislav Kurenkov

ICML 2024 Emergence of In-Context Reinforcement Learning from Noise Distillation Ilya Zisman, Vladislav Kurenkov, Alexander Nikulin, Viacheslav Sinii, Sergey Kolesnikov

ICML 2024 In-Context Reinforcement Learning for Variable Action Spaces Viacheslav Sinii, Alexander Nikulin, Vladislav Kurenkov, Ilya Zisman, Sergey Kolesnikov

NeurIPSW 2024 N-Gram Induction Heads for In-Context RL: Improving Stability and Reducing Data Needs Ilya Zisman, Alexander Nikulin, Andrei Polubarov, Lyubaykin Nikita, Vladislav Kurenkov

NeurIPSW 2024 XLand-100b: A Large-Scale Multi-Task Dataset for In-Context Reinforcement Learning Alexander Nikulin, Ilya Zisman, Alexey Zemtsov, Vladislav Kurenkov

NeurIPS 2024 XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAX Alexander Nikulin, Vladislav Kurenkov, Ilya Zisman, Artem Agarkov, Viacheslav Sinii, Sergey Kolesnikov

ICMLW 2024 XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAX Alexander Nikulin, Vladislav Kurenkov, Ilya Zisman, Artem Sergeevich Agarkov, Viacheslav Sinii, Sergey Kolesnikov

ICML 2023 Anti-Exploration by Random Network Distillation Alexander Nikulin, Vladislav Kurenkov, Denis Tarasov, Sergey Kolesnikov

NeurIPS 2023 CORL: Research-Oriented Deep Offline Reinforcement Learning Library Denis Tarasov, Alexander Nikulin, Dmitry Akimov, Vladislav Kurenkov, Sergey Kolesnikov

NeurIPS 2023 Katakomba: Tools and Benchmarks for Data-Driven NetHack Vladislav Kurenkov, Alexander Nikulin, Denis Tarasov, Sergey Kolesnikov

ICLRW 2023 Revisiting Behavior Regularized Actor-Critic Denis Tarasov, Vladislav Kurenkov, Alexander Nikulin, Sergey Kolesnikov

NeurIPS 2023 Revisiting the Minimalist Approach to Offline Reinforcement Learning Denis Tarasov, Vladislav Kurenkov, Alexander Nikulin, Sergey Kolesnikov

NeurIPSW 2023 XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAX Alexander Nikulin, Vladislav Kurenkov, Ilya Zisman, Viacheslav Sinii, Artem Agarkov, Sergey Kolesnikov

NeurIPSW 2022 CORL: Research-Oriented Deep Offline Reinforcement Learning Library Denis Tarasov, Alexander Nikulin, Dmitry Akimov, Vladislav Kurenkov, Sergey Kolesnikov

NeurIPSW 2022 Let Offline RL Flow: Training Conservative Agents in the Latent Space of Normalizing Flows Dmitry Akimov, Vladislav Kurenkov, Alexander Nikulin, Denis Tarasov, Sergey Kolesnikov

ICLRW 2022 Prompts and Pre-Trained Language Models for Offline Reinforcement Learning Denis Tarasov, Vladislav Kurenkov, Sergey Kolesnikov

NeurIPSW 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

ICML 2022 Showing Your Offline Reinforcement Learning Work: Online Evaluation Budget Matters Vladislav Kurenkov, Sergey Kolesnikov