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Vladislav Kurenkov

12 papers · 2022–2026 · 4 venues · across top CS/AI venues

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Achievements

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+4 more ↓ πŸ—ΊοΈ Taxonomy Completionist (22) πŸŒ‰ Interdisciplinary Bridge Β· Bronze 🌍 Conference Polyglot Β· Bronze 🐣 Hot Topic Early Bird 🀝 Dynamic Duo (11)
πŸ† Grand Slam πŸ’Ž Century Club Β· Bronze πŸ—ƒοΈ Keyword Collector (62) πŸ”₯ Unstoppable Β· Bronze

Venues

ICML (6) NeurIPS (4) AAAI (1) ICLR (1)

Top co-authors

Alexander Nikulin (11) Sergey Kolesnikov (8) Ilya Zisman (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 (12) Methods (11) Artificial Intelligence (7) Core AI (5) Applications (4) Learning Paradigms Β· Artificial Intelligence (4) Deep Learning (3) Machine Learning (3) Learning Types Β· Machine Learning (2) Learning Types Β· Deep Learning (2) Application Areas (1) Architectures (1) Learning Paradigms Β· Machine Learning (1) Techniques (1)

Keywords

offline reinforcement learning (5) deep reinforcement learning (4) multi-task learning (2) in-context reinforcement learning (2) few-shot learning (1) value iteration (1) temporal difference learning (1) task distribution (1) self-supervised learning (1) in-context learning (1) policy learning (1) transformer (1) policy optimization (1) scalable training (1) generalization (1) reward maximization (1) adaptive agent (1) meta-reinforcement learning (1) imitation learning (1) policy evaluation (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 Showing Your Offline Reinforcement Learning Work: Online Evaluation Budget Matters ICML 2022