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sokoban-rl

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0.1.2

sokoban_rl-0.1.2-py3-none-any.whl

Wheel Details

Project:	sokoban-rl
Version:	0.1.2
Filename:	sokoban_rl-0.1.2-py3-none-any.whl
Download:	[link]
Size:	16718
MD5:	`9cada3f2f31ac3661eb0c989a1422047`
SHA256:	`d4e03bd5056cbf5e4af53be0bf8d1f474c3cfc02c3d132ff13ce0fbdc866827c`
Uploaded:	2023-03-21 00:45:33 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version:	2.1
Name:	sokoban-rl
Version:	0.1.2
Summary:	Application of reinforcement learning to the sokoban game
Author:	Sumin Cho
Author-Email:	absmjo[at]gmail.com
Home-Page:	https://github.com/jaanerator/sokoban-rl
License:	MIT
Keywords:	sokoban,reinforcement learning,reinforcement,rl,dl,ai,cnn,dqn
Requires-Python:	>=3
Requires-Dist:	gym (==0.25.2)
Requires-Dist:	keras (==2.9.0)
Requires-Dist:	keras-rl2 (==1.0.5)
Requires-Dist:	matplotlib (>=3.5.3)
Requires-Dist:	numpy (==1.21.6)
Requires-Dist:	scikit-image (==0.18.3)
Requires-Dist:	tensorflow (==2.9.2)

[No description]

WHEEL

Wheel-Version:	1.0
Generator:	bdist_wheel (0.37.1)
Root-Is-Purelib:	true
Tag:	py3-none-any

RECORD

Path	Digest	Size
sokoban/__init__.py	sha256=yxawLY-ejBOZLX_rZUcjTmgzdopCE83AJtwW71NgNiM	152
sokoban/environment.py	sha256=MOn-aEOzLsJrO0QHyu7B9Dpa4ig58rS3wSO7w6K3TJ0	5646
sokoban/moving.py	sha256=D3-6tdFEohsjyjsU0W353pHgKndnNO42XbP9ay_DRpw	5599
sokoban/network.py	sha256=-P6egP0CjwglXX1DZaOdHR-rwKP6DKMMaX4IOV0F7ds	5681
sokoban/policy.py	sha256=P4CpgeyKGTT-PGr5YMKfHTqabH4weKqyrtf4KKbaQXc	7073
sokoban/processor.py	sha256=FSmFgo0C4q_ShtPBuSld7J23pLDXneIHp1zDajgXpZM	4788
sokoban/sampler.py	sha256=aaLpzJ-R8sC42FFGgzaA4X4-ZMaD9zVn9-UUf0iO370	10311
sokoban/utils.py	sha256=QY941iVvyQHIYkkgIXg7NpVc6V7GTEvrjC1z8dntDjc	1406
sokoban/visualizer.py	sha256=RxSuQyFtCQ7oZHwHVCiSEJj4xhzmsss41w_I34XIb8E	4290
sokoban_rl-0.1.2.dist-info/LICENSE	sha256=yL4qIC_9rK8swZcBj4rOGFPpF5rF4e21vqxs4tnXFkc	1088
sokoban_rl-0.1.2.dist-info/METADATA	sha256=MqDnOqx4_QNS5qOz2hnsD2m0X0rQzJyprv6R6gqEWTk	596
sokoban_rl-0.1.2.dist-info/WHEEL	sha256=G16H4A3IeoQmnOrYV4ueZGKSjhipXx8zc8nu9FGlvMA	92
sokoban_rl-0.1.2.dist-info/top_level.txt	sha256=sehhpvvo3HEAYDadtxGEGlYm6RcOAWsZWJ6_VDpQ2CU	8
sokoban_rl-0.1.2.dist-info/RECORD	—	—

top_level.txt

sokoban