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trifinger-rl-datasets

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Project: trifinger-rl-datasets
Version: 1.0.3
Filename: trifinger_rl_datasets-1.0.3-py3-none-any.whl
Download: [link]
Size: 1145816
MD5: 75ec334b4c3aee835d4e2b01045924fc
SHA256: ea8647dfdffe03ad9984fec4b59b9692ce037b2d0d9708992e0f28f5975036ae
Uploaded: 2024-01-17 11:11:44 +0000

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METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: trifinger-rl-datasets
Version: 1.0.3
Summary: Gym environments which provide offline RL datasets collected on the TriFinger system.
Author: Nico Gürtler
Author-Email: nico.guertler[at]tuebingen.mpg.de
License: BSD 3-Clause
Keywords: offline reinforcement learning,reinforcement learning,robotics,TriFinger,Real Robot Challenge,dexterous manipulation
Requires-Dist: gymnasium
Requires-Dist: lmdb
Requires-Dist: numpy
Requires-Dist: numpy-quaternion
Requires-Dist: opencv-python
Requires-Dist: tqdm
Requires-Dist: trifinger-simulation (>=1.4.0)
Requires-Dist: zarr
Description-Content-Type: text/markdown
[Description omitted; length: 5507 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.38.4)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
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trifinger_rl_datasets/evaluate_sim.py sha256=PC5Byuc_xI39OYm96B899UEJTcq5L04QuxRIX__UaL4 3104
trifinger_rl_datasets/evaluation.py sha256=4a7hyjmyjUvYBp8EqcHwdfQTYN0Fx_P8jxFKnFn7VH0 3139
trifinger_rl_datasets/policy_base.py sha256=qoY8UxfAoeoAQnd9sb2iWWrubQSqPPo8ifeD9o48JBI 2067
trifinger_rl_datasets/py.typed sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
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trifinger_rl_datasets/utils.py sha256=6A6Kr0vbRGsH5IBpQ2KKDhF-JMxTIhJVhS09M442-s0 2743
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trifinger_rl_datasets-1.0.3.dist-info/RECORD — —

top_level.txt

trifinger_rl_datasets