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2020 – today
- 2024
[c3]Viacheslav Sinii, Alexander Nikulin, Vladislav Kurenkov, Ilya Zisman, Sergey Kolesnikov:
In-Context Reinforcement Learning for Variable Action Spaces. ICML 2024- [c2]Ilya Zisman, Vladislav Kurenkov, Alexander Nikulin, Viacheslav Sinii, Sergey Kolesnikov:
Emergence of In-Context Reinforcement Learning from Noise Distillation. ICML 2024 - [i4]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 abs/2406.08973 (2024) - 2023
- [c1]Viacheslav Sinii, Adín Ramírez Rivera, Adil Khan:
Understanding the Effectiveness of Cross-Domain Contrastive Unsupervised Domain Adaptation. Tiny Papers @ ICLR 2023 - [i3]Alexander Nikulin, Vladislav Kurenkov, Ilya Zisman, Artem Agarkov, Viacheslav Sinii, Sergey Kolesnikov:
XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAX. CoRR abs/2312.12044 (2023) - [i2]Ilya Zisman, Vladislav Kurenkov, Alexander Nikulin, Viacheslav Sinii, Sergey Kolesnikov:
Emergence of In-Context Reinforcement Learning from Noise Distillation. CoRR abs/2312.12275 (2023) - [i1]Viacheslav Sinii, Alexander Nikulin, Vladislav Kurenkov, Ilya Zisman, Sergey Kolesnikov:
In-Context Reinforcement Learning for Variable Action Spaces. CoRR abs/2312.13327 (2023)
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