Alexander Nikulin

11 papers · 2023–2026 · 4 venues · across top CS/AI venues

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Achievements

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🗺️ Taxonomy Completionist (20) 🌉 Interdisciplinary Bridge · Bronze 🌍 Conference Polyglot · Bronze 🤝 Dynamic Duo (11) 🏆 Grand Slam

💎 Century Club · Bronze 🗃️ Keyword Collector (57)

Venues

ICML (5) NeurIPS (4) AAAI (1) ICLR (1)

Top co-authors

Vladislav Kurenkov (11) Ilya Zisman (7) Sergey Kolesnikov (7) Denis Tarasov (7) Andrei Polubarov (3) Viacheslav Sinii (3) Igor Kiselev (2) Lyubaykin Nikita (2) Alexander Derevyagin (2) Dmitry Akimov (1)

Research topics

Reinforcement Learning (11) Methods (10) Artificial Intelligence (7) Core AI (5) Applications (4) Learning Paradigms · Artificial Intelligence (4) Deep Learning (3) Machine Learning (2) Learning Types · Deep Learning (2) Architectures (1) Learning Paradigms · Machine Learning (1) Learning Types · Machine Learning (1) Techniques (1)

Keywords

offline reinforcement learning (4) deep reinforcement learning (3) multi-task learning (2) in-context reinforcement learning (2) transformer (1) imitation learning (1) temporal difference learning (1) noise injection (1) in-context learning (1) policy learning (1) self-supervised learning (1) value iteration (1) scalable training (1) reward maximization (1) adaptive agent (1) generalization (1) meta-reinforcement learning (1) task distribution (1) policy optimization (1) few-shot learning (1)

Papers

Object-Centric Latent Action Learning AAAI 2026 Latent Action Learning Requires Supervision in the Presence of Distractors ICML 2025 Vintix: Action Model via In-Context Reinforcement Learning ICML 2025 XLand-100B: A Large-Scale Multi-Task Dataset for In-Context Reinforcement Learning ICLR 2025 Emergence of In-Context Reinforcement Learning from Noise Distillation ICML 2024 In-Context Reinforcement Learning for Variable Action Spaces ICML 2024 XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAX NeurIPS 2024 Anti-Exploration by Random Network Distillation ICML 2023 CORL: Research-oriented Deep Offline Reinforcement Learning Library NeurIPS 2023 Katakomba: Tools and Benchmarks for Data-Driven NetHack NeurIPS 2023 Revisiting the Minimalist Approach to Offline Reinforcement Learning NeurIPS 2023