Vladislav Kurenkov

According to our database1, Vladislav Kurenkov authored at least 16 papers between 2019 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

2019
2020
2021
2022
2023
2024
2025
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Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2025
Vintix: Action Model via In-Context Reinforcement Learning.
CoRR, January, 2025

2024
N-Gram Induction Heads for In-Context RL: Improving Stability and Reducing Data Needs.
CoRR, 2024

XLand-100B: A Large-Scale Multi-Task Dataset for In-Context Reinforcement Learning.
CoRR, 2024

XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAX.
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.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

In-Context Reinforcement Learning for Variable Action Spaces.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
CORL: Research-oriented Deep Offline Reinforcement Learning Library.
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.
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.
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.
Proceedings of the International Conference on Machine Learning, 2023

2022
Let Offline RL Flow: Training Conservative Agents in the Latent Space of Normalizing Flows.
CoRR, 2022

Q-Ensemble for Offline RL: Don't Scale the Ensemble, Scale the Batch Size.
CoRR, 2022

Showing Your Offline Reinforcement Learning Work: Online Evaluation Budget Matters.
Proceedings of the International Conference on Machine Learning, 2022

2021
Guiding Evolutionary Strategies by Differentiable Robot Simulators.
CoRR, 2021

2020
Learning Stabilizing Control Policies for a Tensegrity Hopper with Augmented Random Search.
CoRR, 2020

2019
Task-Oriented Language Grounding for Language Input with Multiple Sub-Goals of Non-Linear Order.
CoRR, 2019


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