Vladislav Kurenkov

36 papers A* 12Journal 24

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Object-Centric Latent Action Learning. AAAI Albina Klepach, Alexander Nikulin, Ilya Zisman, Denis Tarasov, Alexander Derevyagin, Andrei Polubarov, Nikita Lyubaykin, Igor Kiselev, Vladislav Kurenkov
2026	J	`jnl`	Vision-Language Models Unlock Task-Centric Latent Actions. CoRR Alexander Nikulin, Ilya Zisman, Albina Klepach, Denis Tarasov, Alexander Derevyagin, Andrei Polubarov, Nikita Lyubaykin, Vladislav Kurenkov
2025	J	`jnl`	Electrostatics from Laplacian Eigenbasis for Neural Network Interatomic Potentials. CoRR Maksim Zhdanov, Vladislav Kurenkov
2025	A*	`conf`	Latent Action Learning Requires Supervision in the Presence of Distractors. ICML Alexander Nikulin, Ilya Zisman, Denis Tarasov, Nikita Lyubaykin, Andrei Polubarov, Igor Kiselev, Vladislav Kurenkov
2025	J	`jnl`	Latent Action Learning Requires Supervision in the Presence of Distractors. CoRR Alexander Nikulin, Ilya Zisman, Denis Tarasov, Nikita Lyubaykin, Andrei Polubarov, Igor Kiselev, Vladislav Kurenkov
2025	J	`jnl`	NinA: Normalizing Flows in Action. Training VLA Models with Normalizing Flows. CoRR Denis Tarasov, Alexander Nikulin, Ilya Zisman, Albina Klepach, Nikita Lyubaykin, Andrei Polubarov, Alexander Derevyagin, Vladislav Kurenkov
2025	J	`jnl`	Object-Centric Latent Action Learning. CoRR Albina Klepach, Alexander Nikulin, Ilya Zisman, Denis Tarasov, Alexander Derevyagin, Andrei Polubarov, Nikita Lyubaykin, Vladislav Kurenkov
2025	A*	`conf`	Vintix: Action Model via In-Context Reinforcement Learning. ICML Andrei Polubarov, Nikita Lyubaykin, Alexander Derevyagin, Ilya Zisman, Denis Tarasov, Alexander Nikulin, Vladislav Kurenkov
2025	J	`jnl`	Vintix: Action Model via In-Context Reinforcement Learning. CoRR Andrey Polubarov, Nikita Lyubaykin, Alexander Derevyagin, Ilya Zisman, Denis Tarasov, Alexander Nikulin, Vladislav Kurenkov
2025	A*	`conf`	XLand-100B: A Large-Scale Multi-Task Dataset for In-Context Reinforcement Learning. ICLR Alexander Nikulin, Ilya Zisman, Alexey Zemtsov, Vladislav Kurenkov
2025	J	`jnl`	Yes, Q-learning Helps Offline In-Context RL. CoRR Denis Tarasov, Alexander Nikulin, Ilya Zisman, Albina Klepach, Andrei Polubarov, Nikita Lyubaykin, Alexander Derevyagin, Igor Kiselev, Vladislav Kurenkov
2025	J	`jnl`	Zero-Shot Adaptation of Behavioral Foundation Models to Unseen Dynamics. CoRR Maksim Bobrin, Ilya Zisman, Alexander Nikulin, Vladislav Kurenkov, Dmitry V. Dylov
2025	J	`jnl`	cadrille: Multi-modal CAD Reconstruction with Online Reinforcement Learning. CoRR Maksim Kolodiazhnyi, Denis Tarasov, Dmitrii Zhemchuzhnikov, Alexander Nikulin, Ilya Zisman, Anna Vorontsova, Anton Konushin, Vladislav Kurenkov, Danila Rukhovich
2024	A*	`conf`	Emergence of In-Context Reinforcement Learning from Noise Distillation. ICML Ilya Zisman, Vladislav Kurenkov, Alexander Nikulin, Viacheslav Sinii, Sergey Kolesnikov
2024	A*	`conf`	In-Context Reinforcement Learning for Variable Action Spaces. ICML Viacheslav Sinii, Alexander Nikulin, Vladislav Kurenkov, Ilya Zisman, Sergey Kolesnikov
2024	J	`jnl`	N-Gram Induction Heads for In-Context RL: Improving Stability and Reducing Data Needs. CoRR Ilya Zisman, Alexander Nikulin, Andrei Polubarov, Nikita Lyubaykin, Vladislav Kurenkov
2024	J	`jnl`	XLand-100B: A Large-Scale Multi-Task Dataset for In-Context Reinforcement Learning. CoRR Alexander Nikulin, Ilya Zisman, Alexey Zemtsov, Viacheslav Sinii, Vladislav Kurenkov, Sergey Kolesnikov
2024	A*	`conf`	XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAX. NeurIPS Alexander Nikulin, Vladislav Kurenkov, Ilya Zisman, Artem Agarkov, Viacheslav Sinii, Sergey Kolesnikov
2023	A*	`conf`	Anti-Exploration by Random Network Distillation. ICML Alexander Nikulin, Vladislav Kurenkov, Denis Tarasov, Sergey Kolesnikov
2023	J	`jnl`	Anti-Exploration by Random Network Distillation. CoRR Alexander Nikulin, Vladislav Kurenkov, Denis Tarasov, Sergey Kolesnikov
2023	A*	`conf`	CORL: Research-oriented Deep Offline Reinforcement Learning Library. NeurIPS Denis Tarasov, Alexander Nikulin, Dmitry Akimov, Vladislav Kurenkov, Sergey Kolesnikov
2023	J	`jnl`	Emergence of In-Context Reinforcement Learning from Noise Distillation. CoRR Ilya Zisman, Vladislav Kurenkov, Alexander Nikulin, Viacheslav Sinii, Sergey Kolesnikov
2023	J	`jnl`	In-Context Reinforcement Learning for Variable Action Spaces. CoRR Viacheslav Sinii, Alexander Nikulin, Vladislav Kurenkov, Ilya Zisman, Sergey Kolesnikov
2023	A*	`conf`	Katakomba: Tools and Benchmarks for Data-Driven NetHack. NeurIPS Vladislav Kurenkov, Alexander Nikulin, Denis Tarasov, Sergey Kolesnikov
2023	J	`jnl`	Katakomba: Tools and Benchmarks for Data-Driven NetHack. CoRR Vladislav Kurenkov, Alexander Nikulin, Denis Tarasov, Sergey Kolesnikov
2023	A*	`conf`	Revisiting the Minimalist Approach to Offline Reinforcement Learning. NeurIPS Denis Tarasov, Vladislav Kurenkov, Alexander Nikulin, Sergey Kolesnikov
2023	J	`jnl`	Revisiting the Minimalist Approach to Offline Reinforcement Learning. CoRR Denis Tarasov, Vladislav Kurenkov, Alexander Nikulin, Sergey Kolesnikov
2023	J	`jnl`	XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAX. CoRR Alexander Nikulin, Vladislav Kurenkov, Ilya Zisman, Artem Agarkov, Viacheslav Sinii, Sergey Kolesnikov
2022	J	`jnl`	CORL: Research-oriented Deep Offline Reinforcement Learning Library. CoRR Denis Tarasov, Alexander Nikulin, Dmitry Akimov, Vladislav Kurenkov, Sergey Kolesnikov
2022	J	`jnl`	Let Offline RL Flow: Training Conservative Agents in the Latent Space of Normalizing Flows. CoRR Dmitriy Akimov, Vladislav Kurenkov, Alexander Nikulin, Denis Tarasov, Sergey Kolesnikov
2022	J	`jnl`	Q-Ensemble for Offline RL: Don't Scale the Ensemble, Scale the Batch Size. CoRR Alexander Nikulin, Vladislav Kurenkov, Denis Tarasov, Dmitry Akimov, Sergey Kolesnikov
2022	A*	`conf`	Showing Your Offline Reinforcement Learning Work: Online Evaluation Budget Matters. ICML Vladislav Kurenkov, Sergey Kolesnikov
2021	J	`jnl`	Guiding Evolutionary Strategies by Differentiable Robot Simulators. CoRR Vladislav Kurenkov, Bulat Maksudov
2021	J	`jnl`	Showing Your Offline Reinforcement Learning Work: Online Evaluation Budget Matters. CoRR Vladislav Kurenkov, Sergey Kolesnikov
2020	J	`jnl`	Learning Stabilizing Control Policies for a Tensegrity Hopper with Augmented Random Search. CoRR Vladislav Kurenkov, Hany Hamed, Sergei Savin
2019	J	`jnl`	Task-Oriented Language Grounding for Language Input with Multiple Sub-Goals of Non-Linear Order. CoRR Vladislav Kurenkov, Bulat Maksudov, Adil Khan