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ethical-rl

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0.0.1

ethical_rl-0.0.1-py3-none-any.whl

Wheel Details

Project:	ethical-rl
Version:	0.0.1
Filename:	ethical_rl-0.0.1-py3-none-any.whl
Download:	[link]
Size:	6570
MD5:	`9f3341dc3801409c41a26c707e482fb7`
SHA256:	`c7bcd4a794d9637c16daaff9045d36f8b8689a0ee3c4aa1c39e360bc2a175f2e`
Uploaded:	2020-12-12 23:14:03 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version:	2.1
Name:	ethical-rl
Version:	0.0.1
Summary:	Ethical Reinforcement Learning Library
Author:	Arie Glazier
Author-Email:	adglazier[at]gmail.com
Home-Page:	https://github.com/arie-glazier/ethical_rl
License:	unlicense
Requires-Dist:	tensorflow (==2.3.0)
Requires-Dist:	gym (==0.17.2)
Requires-Dist:	numpy (==1.17.4)
Requires-Dist:	gym-minigrid (==1.0.1)
Requires-Dist:	matplotlib (==3.3.1)
Requires-Dist:	gym[atari]

[No description]

WHEEL

Wheel-Version:	1.0
Generator:	bdist_wheel (0.36.1)
Root-Is-Purelib:	true
Tag:	py3-none-any

RECORD

Path	Digest	Size
ethical_rl/__init__.py	sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU	0
ethical_rl/arguments.py	sha256=th0dUxSKGzLjLNYihP90Cw4I-9lJxNxRC3yOGnTBEwA	448
ethical_rl/config.py	sha256=Tn1_FGlQzjiwP6MCs4vJTZUp3cYZWuKphiEWRjf-MA0	587
ethical_rl/constants.py	sha256=BIZ58dLqtfrTLN9khbA1N4piDbbylVjSCwxAJ8phKkI	1861
ethical_rl/deploy.py	sha256=6uMgLot49kgSYgi8Nrfg4d0v8VcPWN1zCOAqV4sAvWU	1234
ethical_rl/reporting.py	sha256=NWtWGCv7D87ERmnT2CaGqixN51BB64tkEpfZGvMihsE	1064
ethical_rl/reward_predictor.py	sha256=IHE73-fASQuSu6bqsOR5me08iHnGTlyPGX2klexQXSU	3799
ethical_rl/util.py	sha256=nxOB6xvCvqX7UP_XFqCYsFhk_z7fQU0RelLidMLKTws	884
ethical_rl-0.0.1.dist-info/METADATA	sha256=zsreAto7IwG_gyq_HAjVT5HEJ6-cIEXZtepBK4_QH1A	457
ethical_rl-0.0.1.dist-info/WHEEL	sha256=S6zePDbUAjzMmpYOg2cHDxuYFWw7WiOXt6ogM6hIB5Q	92
ethical_rl-0.0.1.dist-info/top_level.txt	sha256=qnOAJuwwFEFMF-ocsv9QSdvpg8dBprHrcFb2h0b_i00	11
ethical_rl-0.0.1.dist-info/RECORD	—	—

top_level.txt

ethical_rl