Vladislav Kurenkov

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 19

Top Topics

Reinforcement Learning

Fitted Q Iteration

Top Venues

Publications

Alexander Nikulin, Ilya Zisman, Alexey Zemtsov, Viacheslav Sinii, Vladislav Kurenkov, Sergey Kolesnikov
XLand-100B: A Large-Scale Multi-Task Dataset for In-Context Reinforcement Learning. CoRR (2024)
Vladislav Kurenkov, Alexander Nikulin, Denis Tarasov, Sergey Kolesnikov
Katakomba: Tools and Benchmarks for Data-Driven NetHack. CoRR (2023)
Denis Tarasov, Vladislav Kurenkov, Alexander Nikulin, Sergey Kolesnikov
Revisiting the Minimalist Approach to Offline Reinforcement Learning. CoRR (2023)
Denis Tarasov, Vladislav Kurenkov, Alexander Nikulin, Sergey Kolesnikov
Revisiting the Minimalist Approach to Offline Reinforcement Learning. NeurIPS (2023)
Alexander Nikulin, Vladislav Kurenkov, Denis Tarasov, Sergey Kolesnikov
Anti-Exploration by Random Network Distillation. ICML (2023)
Alexander Nikulin, Vladislav Kurenkov, Ilya Zisman, Artem Agarkov, Viacheslav Sinii, Sergey Kolesnikov
XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAX. CoRR (2023)
Viacheslav Sinii, Alexander Nikulin, Vladislav Kurenkov, Ilya Zisman, Sergey Kolesnikov
In-Context Reinforcement Learning for Variable Action Spaces. CoRR (2023)
Alexander Nikulin, Vladislav Kurenkov, Denis Tarasov, Sergey Kolesnikov
Anti-Exploration by Random Network Distillation. CoRR (2023)
Ilya Zisman, Vladislav Kurenkov, Alexander Nikulin, Viacheslav Sinii, Sergey Kolesnikov
Emergence of In-Context Reinforcement Learning from Noise Distillation. CoRR (2023)
Denis Tarasov, Alexander Nikulin, Dmitry Akimov, Vladislav Kurenkov, Sergey Kolesnikov
CORL: Research-oriented Deep Offline Reinforcement Learning Library. NeurIPS (2023)
Vladislav Kurenkov, Alexander Nikulin, Denis Tarasov, Sergey Kolesnikov
Katakomba: Tools and Benchmarks for Data-Driven NetHack. NeurIPS (2023)
Alexander Nikulin, Vladislav Kurenkov, Denis Tarasov, Dmitry Akimov, Sergey Kolesnikov
Q-Ensemble for Offline RL: Don't Scale the Ensemble, Scale the Batch Size. CoRR (2022)
Vladislav Kurenkov, Sergey Kolesnikov
Showing Your Offline Reinforcement Learning Work: Online Evaluation Budget Matters. ICML (2022)
Denis Tarasov, Alexander Nikulin, Dmitry Akimov, Vladislav Kurenkov, Sergey Kolesnikov
CORL: Research-oriented Deep Offline Reinforcement Learning Library. CoRR (2022)
Dmitriy Akimov, Vladislav Kurenkov, Alexander Nikulin, Denis Tarasov, Sergey Kolesnikov
Let Offline RL Flow: Training Conservative Agents in the Latent Space of Normalizing Flows. CoRR (2022)
Vladislav Kurenkov, Sergey Kolesnikov
Showing Your Offline Reinforcement Learning Work: Online Evaluation Budget Matters. CoRR (2021)
Vladislav Kurenkov, Bulat Maksudov
Guiding Evolutionary Strategies by Differentiable Robot Simulators. CoRR (2021)
Vladislav Kurenkov, Hany Hamed, Sergei Savin
Learning Stabilizing Control Policies for a Tensegrity Hopper with Augmented Random Search. CoRR (2020)
Vladislav Kurenkov, Bulat Maksudov, Adil Khan
Task-Oriented Language Grounding for Language Input with Multiple Sub-Goals of Non-Linear Order. CoRR (2019)