Alexander Nikulin

33 papers A* 11Journal 21Unranked 1

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	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`	Open RL Benchmark: Comprehensive Tracked Experiments for Reinforcement Learning. CoRR Shengyi Huang, Quentin Gallouédec, Florian Felten, Antonin Raffin, Rousslan Fernand Julien Dossa, Yanxiao Zhao, Ryan Sullivan, Viktor Makoviychuk, Denys Makoviichuk, Mohamad H. Danesh, Cyril Roumégous, Jiayi Weng, Chufan Chen, Md Masudur Rahman, João G. M. Araújo, Guorui Quan, Daniel Tan, Timo Klein, Rujikorn Charakorn, Mark Towers, Yann Berthelot, Kinal Mehta, Dipam Chakraborty, Arjun KG, Valentin Charraut, Chang Ye, Zichen Liu, Lucas N. Alegre, Alexander Nikulin, Xiao Hu, Tianlin Liu, Jongwook Choi, Brent Yi
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`	MineRL Diamond 2021 Competition: Overview, Results, and Lessons Learned. CoRR Anssi Kanervisto, Stephanie Milani, Karolis Ramanauskas, Nicholay Topin, Zichuan Lin, Junyou Li, Jianing Shi, Deheng Ye, Qiang Fu, Wei Yang, Weijun Hong, Zhongyue Huang, Haicheng Chen, Guangjun Zeng, Yue Lin, Vincent Micheli, Eloi Alonso, François Fleuret, Alexander Nikulin, Yury Belousov, Oleg Svidchenko, Aleksei Shpilman
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
2021	—	`conf`	MineRL Diamond 2021 Competition: Overview, Results, and Lessons Learned. NeurIPS (Competition and Demos) Anssi Kanervisto, Stephanie Milani, Karolis Ramanauskas, Nicholay Topin, Zichuan Lin, Junyou Li, Jianing Shi, Deheng Ye, Qiang Fu, Wei Yang, Weijun Hong, Zhongyue Huang, Haicheng Chen, Guangjun Zeng, Yue Lin, Vincent Micheli, Eloi Alonso, François Fleuret, Alexander Nikulin, Yury Belousov, Oleg Svidchenko, Aleksei Shpilman