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Conference and Workshop Papers
- 2024
[c3]Victor Kolev, Rafael Rafailov, Kyle Hatch, Jiajun Wu, Chelsea Finn:
Efficient imitation learning with conservative world models. L4DC 2024: 1777-1790- [c2]Rafael Rafailov, Kyle Beltran Hatch, Anikait Singh, Aviral Kumar, Laura M. Smith, Ilya Kostrikov, Philippe Hansen-Estruch, Victor Kolev, Philip J. Ball, Jiajun Wu, Sergey Levine, Chelsea Finn:
D5RL: Diverse Datasets for Data-Driven Deep Reinforcement Learning. RLC 2024: 2178-2197 - 2023
- [c1]Rafael Rafailov, Kyle Beltran Hatch, Victor Kolev, John D. Martin, Mariano Phielipp, Chelsea Finn:
MOTO: Offline Pre-training to Online Fine-tuning for Model-based Robot Learning. CoRL 2023: 3654-3671
Informal and Other Publications
- 2024
- [i4]Rafael Rafailov, Kyle Hatch, Victor Kolev, John D. Martin, Mariano Phielipp, Chelsea Finn:
MOTO: Offline Pre-training to Online Fine-tuning for Model-based Robot Learning. CoRR abs/2401.03306 (2024) - [i3]Victor Kolev, Rafael Rafailov, Kyle Hatch, Jiajun Wu, Chelsea Finn:
Efficient Imitation Learning with Conservative World Models. CoRR abs/2405.13193 (2024) - [i2]Rafael Rafailov, Kyle Hatch, Anikait Singh, Laura M. Smith, Aviral Kumar, Ilya Kostrikov, Philippe Hansen-Estruch, Victor Kolev, Philip J. Ball, Jiajun Wu, Chelsea Finn, Sergey Levine:
D5RL: Diverse Datasets for Data-Driven Deep Reinforcement Learning. CoRR abs/2408.08441 (2024) - 2020
- [i1]Victor Kolev
, Bogdan Georgiev, Svetlin Penkov:
Neural Abstract Reasoner. CoRR abs/2011.09860 (2020)
Coauthor Index
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