double-cartpole-custom-gym-env

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1.1.3 double_cartpole_custom_gym_env-1.1.3-py3-none-any.whl

Wheel Details

Project: double-cartpole-custom-gym-env
Version: 1.1.3
Filename: double_cartpole_custom_gym_env-1.1.3-py3-none-any.whl
Download: [link]
Size: 8766
MD5: 0e306815568aef80197082645f4d0021
SHA256: e40bb5bbe58f0595f161ccc886c881a03ed1ad5ee582aff2087aca1e7e54f9e6
Uploaded: 2022-05-03 15:53:05 +0000

dist-info

METADATA

Metadata-Version: 2.1
Name: double-cartpole-custom-gym-env
Version: 1.1.3
Summary: OpenAI Gym environment designed for training RL agents to balance double CartPole.
Author: Marek Robak
Author-Email: maro.robak[at]gmail.com
Home-Page: https://github.com/marek-robak/Double-cartpole-custom-gym-env-for-reinforcement-learning.git
Download-Url: https://pypi.org/project/double-cartpole-custom-gym-env/
Keywords: reinforcement learning,gym environment,StableBaselines3,OpenAI Gym
Requires-Dist: gym
Requires-Dist: pygame
Requires-Dist: pymunk
Requires-Dist: numpy
Requires-Dist: stable-baselines3[extra]
Description-Content-Type: text/markdown
[Description omitted; length: 701 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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double_cartpole_custom_gym_env/__init__.py sha256=AopIk8it0Ow7IB_Xvw-FW4F4rh9TxPNt2XfPrarlsOg 275
double_cartpole_custom_gym_env/double_cartpole_env.py sha256=RsL0VyRmV4y08gsWLiY_ogSdaoTMrwNep15T3y6FUCY 8423
double_cartpole_custom_gym_env/event_handler.py sha256=UcvRvhdqn9qnaMYpswCEK9hKYHW6gxiOhrCnUSSeSak 225
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double_cartpole_custom_gym_env-1.1.3.dist-info/RECORD

top_level.txt

double_cartpole_custom_gym_env