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0.0.4 neroRL-0.0.4-py3-none-any.whl

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Project: neroRL
Version: 0.0.4
Filename: neroRL-0.0.4-py3-none-any.whl
Download: [link]
Size: 109213
MD5: 96e4ad384528ab9f405ec3da2d339413
SHA256: b6f788ebc77f5744f20aea915d560427d6c880af1a1868e965e4b278a55d6fd1
Uploaded: 2022-04-01 06:11:19 +0000

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METADATA · WHEEL · RECORD · top_level.txt · entry_points.txt

METADATA

Metadata-Version: 2.1
Name: neroRL
Version: 0.0.4
Summary: A library for Deep Reinforcement Learning (PPO) in PyTorch
Home-Page: https://github.com/MarcoMeter/neroRL
Project-Url: Github, https://github.com/MarcoMeter/neroRL
Project-Url: Bug Tracker, https://github.com/MarcoMeter/neroRL/issues
Keywords: Deep Reinforcement Learning,PyTorch,Proximal Policy Optimization,PPO,Recurrent,Recurrence,LSTM,GRU
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Requires-Dist: dm-env (==1.5)
Requires-Dist: docopt
Requires-Dist: gym
Requires-Dist: gym-minigrid (==1.0.2)
Requires-Dist: jinja2
Requires-Dist: matplotlib
Requires-Dist: opencv-python
Requires-Dist: pandas
Requires-Dist: procgen
Requires-Dist: pycolab (==1.2)
Requires-Dist: pygame
Requires-Dist: pyglet
Requires-Dist: ruamel.yaml
Requires-Dist: scipy
Requires-Dist: windows-curses; sys_platform == "win32"
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 2602 characters]

WHEEL

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

RECORD

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neroRL-0.0.4.dist-info/RECORD — —

top_level.txt

neroRL

entry_points.txt

[console_scripts]
nenjoy = neroRL.enjoy:main
neval = neroRL.eval:main
neval-checkpoints = neroRL.eval_checkpoints:main
ntrain = neroRL.train:main
ntune = neroRL.tune:main