Datasets:

NathanGavenski
/

How-Resilient-are-Imitation-Learning-Methods-to-Sub-Optimal-Experts

Tasks:

Size:

Tags:

Imitation Learning

Expert Trajectories

Classic Control

License:

Dataset card Files Files and versions

How-Resilient-are-Imitation-Learning-Methods-to-Sub-Optimal-Experts / Experts /expert_LunarLander-v2_criteria150_rwd_151.npz

NathanGavenski's picture

add experts and edit readme.md

08db9f8 about 4 years ago

History Blame Contribute Delete

131 MB

This file is stored with Xet . It is too big to display, but you can still download it.

Xet Pointer Details

( Raw pointer file )

Xet hash:: 41dfb1d8984091d4e6bd4784cbe58e8aeb014efab2af6203a6d952cba901526e
Size of remote file:: 131 MB
SHA256:: 07cadf89fe400367e9ccfe07e807d5d0df94e088ad34c17a15f6988b9bc3dcb6

Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.