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<!DOCTYPE HTML>
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<title>Alexander Nikulin - AIRI</title>
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<div id="intro-text">
<h1>Alexander Nikulin</h1>
<p>
Hi there! I am a PhD student at <a href="https://mipt.ru/english/">MIPT</a>, studying Offline Reinforcement Learning.
I'm also working as a Senior Research Scientist at <a href="https://airi.net/?force=en">AIRI</a>, publishing papers and
supervising students. Before AIRI, I worked at <a href="https://tinkoff.ai">Tinkoff AI</a>.
I'm best known for my work as a core developer of the <a href="https://github.com/corl-team/CORL">CORL</a>
library and the <a href="https://github.com/corl-team/xland-minigrid">XLand-MiniGrid</a> environment.
Before that, I completed a Master's degree in Machine Learning and Data Analysis
and a Bachelor's degree in Sociology and Social Informatics at the <a href="https://www.hse.ru/en">Higher School of Economics</a>.
I completed internships at
<a href="https://www.jetbrains.com/research">JetBrains Research</a>, <a href="https://vk.ru/about">VK</a> and
<a href="https://www.tuhh.de/tuhh/en/startpage.html">TUHH</a> during this time.
<br><br>
<a href="https://scholar.google.com/citations?user=yACvnqUAAAAJ&hl=en">Google Scholar</a>
<a href="https://github.com/howuhh">Github</a>
<!-- <a href="https://www.semanticscholar.org/author/Alexander-Nikulin/2155646949">Semantic Scholar</a> -->
<a href="https://twitter.com/how_uhh">Twitter</a>
<a href="cv_v1.pdf">CV</a>
<br><br>
a.p.nikulin at tinkoff dot ai | hsehowuhh at gmail dot com
<!-- <br><br>-->
</p>
</div>
<div id="intro-image">
<img src="images/profile.jpg">
</div>
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<div id="filters" class="button-group">
<button class="button is-checked" data-filter=".publication">Research</button>
<button class="button" data-filter=".talk">Media</button>
<button class="button" data-filter=".misc">Misc</button>
</div>
<div class="grid">
<!-- Publications -->
<div class="list-item publication" data-category="publication">
<a href="https://arxiv.org/abs/2502.00379" class="thumbnail"><img src="images/laom.png" alt=""/></a>
<div class="project-description">
<h3><a href="https://arxiv.org/abs/2502.00379">Latent Action Learning Requires Supervision in the Presence of Distractors</a></h3>
<p>
<b>Alexander Nikulin</b>, Ilya Zisman, Denis Tarasov, Nikita Lyubaykin, Andrei Polubarov, Igor Kiselev, Vladislav Kurenkov<br>
<i>Preprint, 2025</i><br>
<a href="https://arxiv.org/pdf/2502.00379">PDF</a> •
<a href="">Code (soon)</a>
</p>
</div>
</div>
<div class="list-item publication" data-category="publication">
<a href="https://arxiv.org/abs/2406.08973" class="thumbnail"><img src="images/xland-100b.png" alt=""/></a>
<div class="project-description">
<h3><a href="https://arxiv.org/abs/2406.08973">XLand-100B: A Large-Scale Multi-Task Dataset for In-Context Reinforcement Learning</a></h3>
<p>
<b>Alexander Nikulin</b>, Ilya Zisman, Alexey Zemtsov, Viacheslav Sinii, Vladislav Kurenkov, Sergey Kolesnikov<br>
<i>International Conference on Learning Representations (ICLR), Poster, 2025</i><br>
<a href="https://arxiv.org/pdf/2406.08973">PDF</a> •
<a href="https://github.com/dunno-lab/xland-minigrid-datasets">Code</a>
</p>
</div>
</div>
<div class="list-item publication" data-category="publication">
<a href="https://arxiv.org/abs/2312.12044" class="thumbnail"><img src="images/xland.png" alt=""/></a>
<div class="project-description">
<h3><a href="https://arxiv.org/abs/2312.12044">XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAX</a></h3>
<p>
<b>Alexander Nikulin</b>, Vladislav Kurenkov, Ilya Zisman, Artem Agarkov, Viacheslav Sinii, Sergey Kolesnikov<br>
<i> Datasets and Benchmarks Track at Neural Information Processing Systems (NeurIPS), Poster, 2024</i><br>
<i>Intrinsically Motivated Open-ended Learning Workshop at Neural Information Processing Systems (NeurIPS), 2023</i><br>
<a href="https://arxiv.org/pdf/2312.12044.pdf">PDF</a> •
<a href="https://github.com/corl-team/xland-minigrid">Code</a>
</p>
</div>
</div>
<div class="list-item publication" data-category="publication">
<a href="https://arxiv.org/abs/2312.13327" class="thumbnail"><img src="images/h-ad.png" alt=""/></a>
<div class="project-description">
<h3><a href="https://arxiv.org/abs/2312.13327">In-Context Reinforcement Learning for Variable Action Spaces</a></h3>
<p>
Viacheslav Sinii, <b>Alexander Nikulin</b>, Vladislav Kurenkov, Ilya Zisman, Sergey Kolesnikov<br>
<i>International Conference on Machine Learning (ICML), Poster, 2024</i><br>
<a href="https://arxiv.org/pdf/2312.13327.pdf">PDF</a> •
<a href="https://github.com/corl-team/headless-ad">Code</a>
</p>
</div>
</div>
<div class="list-item publication" data-category="publication">
<a href="https://arxiv.org/abs/2312.12275" class="thumbnail"><img src="images/eps-ad.png" alt="" style="width: 85%; display: block; margin-left: auto; margin-right: auto;"/></a>
<div class="project-description">
<h3><a href="https://arxiv.org/abs/2312.12275">Emergence of In-Context Reinforcement Learning from Noise Distillation</a></h3>
<p>
Ilya Zisman, Vladislav Kurenkov, <b>Alexander Nikulin</b>, Viacheslav Sinii, Sergey Kolesnikov<br>
<i>International Conference on Machine Learning (ICML), Poster, 2024</i><br>
<a href="https://arxiv.org/pdf/2312.12275.pdf">PDF</a> •
<a href="https://github.com/corl-team/ad-eps">Code</a>
</p>
</div>
</div>
<div class="list-item publication" data-category="publication">
<a href="https://arxiv.org/abs/2402.03046" class="thumbnail"><img src="images/openrl.png" alt=""/></a>
<div class="project-description">
<h3><a href="https://arxiv.org/abs/2402.03046">Open RL Benchmark: Comprehensive Tracked Experiments for Reinforcement Learning</a></h3>
<p>
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,
<b>Alexander Nikulin</b>, Xiao Hu, Tianlin Liu, Jongwook Choi, Brent Yi<br>
<i>Preprint, 2024</i><br>
<a href="https://arxiv.org/pdf/2402.03046">PDF</a> •
<a href="https://github.com/openrlbenchmark/openrlbenchmark">Code</a>
</p>
</div>
</div>
<div class="list-item publication" data-category="publication">
<a href="https://arxiv.org/abs/2301.13616" class="thumbnail"><img src="images/sac-rnd.png" alt=""/></a>
<div class="project-description">
<h3><a href="https://arxiv.org/abs/2301.13616">Anti-Exploration by Random Network Distillation</a></h3>
<p>
<b>Alexander Nikulin</b>, Vladislav Kurenkov, Denis Tarasov, Sergey Kolesnikov<br>
<i>International Conference on Machine Learning (ICML), Poster, 2023</i><br>
<!-- <font color="49bf9"><i>★ Oral Presentation, Special Innovation Award, CoRL ★</i></font><br>-->
<a href="https://arxiv.org/pdf/2301.13616.pdf">PDF</a> •
<a href="images/icml-rnd-poster.pdf">Poster</a> •
<a href="https://github.com/tinkoff-ai/sac-rnd">Code</a>
</p>
</div>
</div>
<div class="list-item publication" data-category="publication">
<a href="https://arxiv.org/abs/2305.09836" class="thumbnail"><img src="images/rebrac-v2.png" alt=""/></a>
<div class="project-description">
<h3><a href="https://arxiv.org/abs/2305.09836">Revisiting the Minimalist Approach to Offline Reinforcement Learning</a></h3>
<p>
Denis Tarasov, Vladislav Kurenkov, <b>Alexander Nikulin</b>, Sergey Kolesnikov<br>
<i>Neural Information Processing Systems (NeurIPS), Poster, 2023</i><br>
<i>Workshop on Reincarnating Reinforcement Learning at International Conference on Learning Representations (ICLR), 2023</i><br>
<a href="https://arxiv.org/pdf/2305.09836.pdf">PDF</a> •
<a href="https://github.com/tinkoff-ai/ReBRAC">Code</a>
</p>
</div>
</div>
<div class="list-item publication" data-category="publication">
<a href="https://arxiv.org/abs/2210.07105" class="thumbnail"><img src="images/corl.png" alt=""/></a>
<div class="project-description">
<h3><a href="https://arxiv.org/abs/2210.07105">CORL: Research-oriented Deep Offline Reinforcement Learning Library</a></h3>
<p>
Denis Tarasov, <b>Alexander Nikulin</b>, Dmitry Akimov, Vladislav Kurenkov, Sergey Kolesnikov<br>
<i> Datasets and Benchmarks Track at Neural Information Processing Systems (NeurIPS), Poster, 2023</i><br>
<i>3rd Offline Reinforcement Learning Workshop at Neural Information Processing Systems (NeurIPS), 2022</i><br>
<font color="49bf9"><i>★ 1k+ stars on the Github ★</i></font><br>
<a href="https://arxiv.org/pdf/2210.07105.pdf">PDF</a> •
<a href="https://github.com/corl-team/CORL">Code</a> •
<a href="https://github.com/tinkoff-ai/CORL">Code (old version)</a> •
<a href="https://www.youtube.com/watch?v=bobh5r9gIWw">IT's Tinkoff Talk</a> •
<a href="https://www.youtube.com/watch?v=XmtGydcTThc&list=PLRdS-n5seLRr-pYwibC3KqEdjZz_hzSUS&index=3">PyCon Russia 2023 Talk</a>
</p>
</div>
</div>
<div class="list-item publication" data-category="publication">
<a href="https://arxiv.org/abs/2306.08772" class="thumbnail"><img src="images/katakomba.png" alt=""/></a>
<div class="project-description">
<h3><a href="https://arxiv.org/abs/2306.08772">Katakomba: Tools and Benchmarks for Data-Driven NetHack</a></h3>
<p>
Vladislav Kurenkov, <b>Alexander Nikulin</b>, Denis Tarasov, Sergey Kolesnikov<br>
<i> Datasets and Benchmarks Track at Neural Information Processing Systems (NeurIPS), Poster, 2023</i><br>
<a href="https://arxiv.org/pdf/2306.08772.pdf">PDF</a> •
<a href="https://github.com/corl-team/katakomba">Code</a>
</p>
</div>
</div>
<div class="list-item publication" data-category="publication">
<a href="https://arxiv.org/abs/2211.11092" class="thumbnail"><img src="images/lb-sac.png" alt=""/></a>
<div class="project-description">
<h3><a href="https://arxiv.org/abs/2211.11092">Q-Ensemble for Offline RL: Don't Scale the Ensemble, Scale the Batch Size</a></h3>
<p>
<b>Alexander Nikulin</b>, Vladislav Kurenkov, Denis Tarasov, Dmitry Akimov, Sergey Kolesnikov<br>
<i>3rd Offline Reinforcement Learning Workshop at Neural Information Processing Systems (NeurIPS), 2022</i><br>
<a href="https://arxiv.org/pdf/2211.11092.pdf">PDF</a> •
<a href="https://github.com/tinkoff-ai/lb-sac">Code</a>
</p>
</div>
</div>
<div class="list-item publication" data-category="publication">
<a href="https://arxiv.org/abs/2211.11096" class="thumbnail"><img src="images/flow.png" alt=""/></a>
<div class="project-description">
<h3><a href="https://arxiv.org/abs/2211.11096">Let Offline RL Flow: Training Conservative Agents in the Latent Space of Normalizing Flows</a></h3>
<p>
Dmitriy Akimov, Vladislav Kurenkov, <b>Alexander Nikulin</b>, Denis Tarasov, Sergey Kolesnikov<br>
<i>3rd Offline Reinforcement Learning Workshop at Neural Information Processing Systems (NeurIPS), 2022</i><br>
<a href="https://arxiv.org/pdf/2211.11096.pdf">PDF</a> •
<a href="https://github.com/tinkoff-ai/cnf">Code</a>
</p>
</div>
</div>
<div class="list-item publication" data-category="publication">
<a href="https://proceedings.mlr.press/v176/kanervisto22a.html" class="thumbnail"><img src="images/minerl.png" alt=""/></a>
<div class="project-description">
<h3><a href="https://proceedings.mlr.press/v176/kanervisto22a.html">MineRL Diamond 2021 Competition: Overview, Results, and Lessons Learned</a></h3>
<p>
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,
<b>Alexander Nikulin</b>, Yury Belousov, Oleg Svidchenko, Aleksei Shpilman<br>
<i>NeurIPS 2021 Competitions and Demonstrations Track, in Proceedings of Machine Learning Research (PMLR) 176:13-28, 2022</i><br>
<font color="49bf9"><i>★ Awarded with a $200 prize for the <a href="https://www.aicrowd.com/challenges/neurips-2021-minerl-basalt-competition">Community Support</a> nomination ★</i></font><br>
<a href="https://proceedings.mlr.press/v176/kanervisto22a/kanervisto22a.pdf">PDF</a>
</p>
</div>
</div>
<div class="list-item publication" data-category="publication">
<a href="https://www.sciencedirect.com/science/article/pii/S1569441022000864" class="thumbnail"><img src="images/bang-gaps.png" alt=""/></a>
<div class="project-description">
<h3><a href="https://www.sciencedirect.com/science/article/pii/S1569441022000864">Machine learning models for photonic crystals band diagram prediction and gap optimisation</a></h3>
<p>
<b>Alexander Nikulin</b>, Ilya Zisman, Manfred Eich, Alexander Yu. Petrov, Alexander Itin<br>
<i>Photonics and Nanostructures-Fundamentals and Applications 52, 101076, 2022</i><br>
<a href="https://deliverypdf.ssrn.com/delivery.php?ID=838069070093069087027098111008019098066027020022033021087117037022039125020073054093016124064027025066109050053070116042094125092040051101035102085094105107065073080121084112053006011001113037040025055032076074022127004086024080011071015093004068025120074093068105092091126110074073102&EXT=pdf&INDEX=TRUE">PDF</a>
</p>
</div>
</div>
<!-- Talks -->
<div class="list-item talk" data-category="talk">
<p style="line-height:1.5">Most of the talks and sources are in my native language - Russian.</p>
</div>
<div class="list-item talk" data-category="talk">
<p class="date">2024</p> <a href="https://habr.com/ru/companies/airi/articles/826224/">Blog</a> post about XLand-100B dataset, largest to date in in-context RL.
</div>
<div class="list-item talk" data-category="talk">
<p class="date"></p> Short <b>Forbes</b> <a href="https://www.forbes.ru/special/yandex-ml-prize/?erid=4CQwVszH9pWwnwfPze3">interview</a>, about my story and the research for which I won the Yandex ML Prize (<a href="https://www.youtube.com/watch?v=rVpt0jiq30U">video in russian</a>).
</div>
<div class="list-item talk" data-category="talk">
<p class="date"></p> <b>Democratizing Meta-RL Research</b> talk presenting <a href="https://github.com/corl-team/xland-minigrid">XLand-MiniGrid</a> library (<a href="https://www.youtube.com/watch?v=2ulIt2gOMgk">video in russian</a>)
</div>
<div class="list-item talk" data-category="talk">
<p class="date">2023</p> Was awarded with <a href="https://yandex.com/scholarships/">Yandex ML Prize (Ilya Segalovich Award) </a> in the First publication nomination.
<!-- The Yandex ML Prize is one of the most prestigious awards for machine learning researchers in Russia.-->
</div>
<div class="list-item talk" data-category="talk">
<p class="date"></p> Gave small informal interview about my research at <a href="https://cs.hse.ru/ml2023/">Fall Into ML 2023</a> conference (<a href="https://youtu.be/3Y4T5ZLBxEQ?t=2992">video in russian</a>).
</div>
<div class="list-item talk" data-category="talk">
<p class="date"></p> Short 10min talk about my SAC-RND paper at <a href="https://cs.hse.ru/ml2023/">Fall Into ML 2023</a> conference (<a href="https://youtu.be/MG3_B7KBNmI?t=25">video in russian</a>)
</div>
<div class="list-item talk" data-category="talk">
<p class="date"></p> <b>20x Faster Uncertainty Estimation for Offline RL</b> talk presenting my SAC-RND paper (<a href="https://www.youtube.com/watch?v=YRL81oFAm8Y">video in russian</a>)
</div>
<div class="list-item talk" data-category="talk">
<p class="date"></p> PyCon Russia 2023 talk presenting CORL library first major public release (<a href="https://www.youtube.com/watch?v=XmtGydcTThc&list=PLRdS-n5seLRr-pYwibC3KqEdjZz_hzSUS&index=3">video in russian</a>)
</div>
<div class="list-item talk" data-category="talk">
<p class="date"></p> <a href="https://journal.tinkoff.ru/tinkoff-lab/">Interview</a> about my path to the research as a self-taught programmer with a non-traditional background (sociology)
</div>
<div class="list-item talk" data-category="talk">
<p class="date"></p> <a href="https://vc.ru/education/742897-kak-studentu-nachat-svoy-put-v-nauke-cherez-tinkoff-lab">Small interview</a> about the research process and collaborations with students in our TinkoffLab
</div>
<div class="list-item talk" data-category="talk">
<p class="date">2022</p><a href="https://meetup.tinkoff.ru/">IT's Tinkoff</a> talk presenting CORL library (<a href="https://www.youtube.com/watch?v=bobh5r9gIWw">video in russian</a>)
</div>
<div class="list-item talk" data-category="talk">
<p class="date"></p>Final presentation of results achieved during research internship at tinkoff.ai (<a href="https://www.youtube.com/watch?v=tYxVJjTs5e8">video in russian</a>)
</div>
<div class="list-item talk" data-category="talk">
<p class="date">2021</p>ML seminars for students at <a href="https://www.jetbrains.com/research/">JetBrains Research</a>
[<a href="https://www.youtube.com/watch?v=H8O-k3Cdoxk">1</a>, <a href="https://www.youtube.com/watch?v=SptQhvMvqc">2</a>, <a href="https://www.youtube.com/watch?v=nIqYZ8G9nIA">3</a>, <a href="https://www.youtube.com/watch?v=bNWQZUbTBPE">4</a>]
</div>
<div class="list-item misc" data-category="misc">
<p style="line-height:1.5">Some random stuff will be here in the future.</p>
<img src="images/rickroll-roll.gif">
</div>
</div>
<div id="footer">Design and source code from awesome <a href="https://andyzeng.github.io">Andy Zeng's website</a>.</div>
</div>
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