Vladislav Kurenkov

According to our database, Vladislav Kurenkov authored at least 17 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Latent Action Learning Requires Supervision in the Presence of Distractors.

Alexander Nikulin, Ilya Zisman, Denis Tarasov, Nikita Lyubaykin, Andrei Polubarov, Igor Kiselev, Vladislav Kurenkov

CoRR, February, 2025

Vintix: Action Model via In-Context Reinforcement Learning.

Andrey Polubarov, Nikita Lyubaykin, Alexander Derevyagin, Ilya Zisman, Denis Tarasov, Alexander Nikulin, Vladislav Kurenkov

CoRR, January, 2025

2024

N-Gram Induction Heads for In-Context RL: Improving Stability and Reducing Data Needs.

Ilya Zisman, Alexander Nikulin, Andrei Polubarov, Nikita Lyubaykin, Vladislav Kurenkov

CoRR, 2024

XLand-100B: A Large-Scale Multi-Task Dataset for In-Context Reinforcement Learning.

Alexander Nikulin, Ilya Zisman, Alexey Zemtsov, Viacheslav Sinii, Vladislav Kurenkov, Sergey Kolesnikov

CoRR, 2024

XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAX.

Alexander Nikulin, Vladislav Kurenkov, Ilya Zisman, Artem Agarkov, Viacheslav Sinii, Sergey Kolesnikov

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Emergence of In-Context Reinforcement Learning from Noise Distillation.

Ilya Zisman, Vladislav Kurenkov, Alexander Nikulin, Viacheslav Sinii, Sergey Kolesnikov

Proceedings of the Forty-first International Conference on Machine Learning, 2024

In-Context Reinforcement Learning for Variable Action Spaces.

Viacheslav Sinii, Alexander Nikulin, Vladislav Kurenkov, Ilya Zisman, Sergey Kolesnikov

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

CORL: Research-oriented Deep Offline Reinforcement Learning Library.

Denis Tarasov, Alexander Nikulin, Dmitry Akimov, Vladislav Kurenkov, Sergey Kolesnikov

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Revisiting the Minimalist Approach to Offline Reinforcement Learning.

Denis Tarasov, Vladislav Kurenkov, Alexander Nikulin, Sergey Kolesnikov

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Katakomba: Tools and Benchmarks for Data-Driven NetHack.

Vladislav Kurenkov, Alexander Nikulin, Denis Tarasov, Sergey Kolesnikov

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Anti-Exploration by Random Network Distillation.

Alexander Nikulin, Vladislav Kurenkov, Denis Tarasov, Sergey Kolesnikov

Proceedings of the International Conference on Machine Learning, 2023

2022

Let Offline RL Flow: Training Conservative Agents in the Latent Space of Normalizing Flows.

Dmitriy Akimov, Vladislav Kurenkov, Alexander Nikulin, Denis Tarasov, Sergey Kolesnikov

CoRR, 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

CoRR, 2022

Showing Your Offline Reinforcement Learning Work: Online Evaluation Budget Matters.

Vladislav Kurenkov, Sergey Kolesnikov

Proceedings of the International Conference on Machine Learning, 2022

2021

Guiding Evolutionary Strategies by Differentiable Robot Simulators.

Vladislav Kurenkov, Bulat Maksudov

CoRR, 2021

2020

Learning Stabilizing Control Policies for a Tensegrity Hopper with Augmented Random Search.

Vladislav Kurenkov, Hany Hamed, Sergei Savin

CoRR, 2020

2019

Task-Oriented Language Grounding for Language Input with Multiple Sub-Goals of Non-Linear Order.

Vladislav Kurenkov, Bulat Maksudov, Adil Khan

CoRR, 2019