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PreprintXLand-100B: A Large-Scale Multi-Task Dataset for In-Context Reinforcement Learning
Alexander Nikulin and...Ilya Zisman, Alexey Zemtsov, Viacheslav Sinii, Vladislav Kurenkov, Sergey Kolesnikov
NeurIPS 2024XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAX
Alexander Nikulin and...Vladislav Kurenkov, Ilya Zisman, Artem Agarkov, Viacheslav Sinii, Sergey Kolesnikov
ICML 2024In-Context Reinforcement Learning for Variable Action Spaces
Viacheslav Sinii and...Alexander Nikulin, Vladislav Kurenkov, Ilya Zisman, Sergey Kolesnikov
ICML 2024 Emergence of In-Context Reinforcement Learning from Noise Distillation
Ilya Zisman and...Vladislav Kurenkov, Alexander Nikulin, Viacheslav Sinii, Sergey Kolesnikov


NeurIPS 2023
Revisiting the Minimalist Approach to Offline Reinforcement Learning
Denis Tarasov and...Vladislav Kurenkov, Alexander Nikulin, Sergey Kolesnikov
NeurIPS2023 CORL: Research-oriented Deep Offline Reinforcement Learning Library
Denis Tarasov and...Alexander Nikulin, Dmitry Akimov, Vladislav Kurenkov, Sergey Kolesnikov
NeurIPS 2023
Katakomba: Tools and Benchmarks for Data-Driven NetHack
Vladislav Kurenkov and...Alexander Nikulin, Denis Tarasov, Sergey Kolesnikov
ICML 2023 Anti-Exploration by Random
Network Distillation
Alexander Nikulin and...Vladislav Kurenkov, Denis Tarasov, Sergey Kolesnikov


ICML 2022Showing Your Offline Reinforcement Learning Work: Online Evaluation Budget Matters
Vladislav Kurenkov and...Sergey Kolesnikov















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