Kolesnikov, Sergey

17 publications

WACV 2025 Identity Curvature Laplace Approximation for Improved Out-of-Distribution Detection Maksim Zhdanov, Stanislav Dereka, Sergey Kolesnikov

ICML 2024 Emergence of In-Context Reinforcement Learning from Noise Distillation Ilya Zisman, Vladislav Kurenkov, Alexander Nikulin, Viacheslav Sinii, Sergey Kolesnikov

ICML 2024 In-Context Reinforcement Learning for Variable Action Spaces Viacheslav Sinii, Alexander Nikulin, Vladislav Kurenkov, Ilya Zisman, Sergey Kolesnikov

NeurIPS 2024 XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAX Alexander Nikulin, Vladislav Kurenkov, Ilya Zisman, Artem Agarkov, Viacheslav Sinii, Sergey Kolesnikov

ICMLW 2024 XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAX Alexander Nikulin, Vladislav Kurenkov, Ilya Zisman, Artem Sergeevich Agarkov, Viacheslav Sinii, Sergey Kolesnikov

ICML 2023 Anti-Exploration by Random Network Distillation Alexander Nikulin, Vladislav Kurenkov, Denis Tarasov, Sergey Kolesnikov

NeurIPS 2023 CORL: Research-Oriented Deep Offline Reinforcement Learning Library Denis Tarasov, Alexander Nikulin, Dmitry Akimov, Vladislav Kurenkov, Sergey Kolesnikov

NeurIPS 2023 Katakomba: Tools and Benchmarks for Data-Driven NetHack Vladislav Kurenkov, Alexander Nikulin, Denis Tarasov, Sergey Kolesnikov

ICLRW 2023 Revisiting Behavior Regularized Actor-Critic Denis Tarasov, Vladislav Kurenkov, Alexander Nikulin, Sergey Kolesnikov

NeurIPS 2023 Revisiting the Minimalist Approach to Offline Reinforcement Learning Denis Tarasov, Vladislav Kurenkov, Alexander Nikulin, Sergey Kolesnikov

NeurIPSW 2023 XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAX Alexander Nikulin, Vladislav Kurenkov, Ilya Zisman, Viacheslav Sinii, Artem Agarkov, Sergey Kolesnikov

NeurIPSW 2022 CORL: Research-Oriented Deep Offline Reinforcement Learning Library Denis Tarasov, Alexander Nikulin, Dmitry Akimov, Vladislav Kurenkov, Sergey Kolesnikov

CVPRW 2022 Deep Image Retrieval Is Not Robust to Label Noise Stanislav Dereka, Ivan Karpukhin, Sergey Kolesnikov

NeurIPSW 2022 Let Offline RL Flow: Training Conservative Agents in the Latent Space of Normalizing Flows Dmitry Akimov, Vladislav Kurenkov, Alexander Nikulin, Denis Tarasov, Sergey Kolesnikov

ICLRW 2022 Prompts and Pre-Trained Language Models for Offline Reinforcement Learning Denis Tarasov, Vladislav Kurenkov, Sergey Kolesnikov

NeurIPSW 2022 Q-Ensemble for Offline RL: Don't Scale the Ensemble, Scale the Batch Size Alexander Nikulin, Vladislav Kurenkov, Denis Tarasov, Dmitry Akimov, Sergey Kolesnikov

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