Victor Kolev

According to our database, Victor Kolev authored at least 4 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

D5RL: Diverse Datasets for Data-Driven Deep Reinforcement Learning.

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

RLJ, 2024

Efficient imitation learning with conservative world models.

Victor Kolev, Rafael Rafailov, Kyle Hatch, Jiajun Wu, Chelsea Finn

Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024

2023

MOTO: Offline Pre-training to Online Fine-tuning for Model-based Robot Learning.

Rafael Rafailov, Kyle Beltran Hatch, Victor Kolev, John D. Martin, Mariano Phielipp, Chelsea Finn

Proceedings of the Conference on Robot Learning, 2023

2020

Neural Abstract Reasoner.

Victor Kolev, Bogdan Georgiev, Svetlin Penkov

CoRR, 2020