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D4RL

The D4RL benchmark datasets contain various types of datasets sourced from different policies across multiple environments, designed to evaluate offline reinforcement learning algorithms.

Data and Resources

Cite this as

Justin Fu, Aviral Kumar, Ofir Nachum, George Tucker, Sergey Levine (2024). Dataset: D4RL. https://doi.org/10.57702/4cmkf99i

DOI retrieved: November 25, 2024

Additional Info

Field Value
Created November 25, 2024
Last update November 25, 2024
Author Justin Fu
More Authors
Aviral Kumar
Ofir Nachum
George Tucker
Sergey Levine
Homepage https://github.com/rail-berkeley/d4rl