Metadata-Version: 2.1
Name: zhengyang-env-3
Version: 0.0.2
Summary: A OpenAI Gym Env for foo
Home-page: UNKNOWN
License: UNKNOWN
Platform: UNKNOWN
Description-Content-Type: text/markdown
Requires-Dist: gym
Requires-Dist: pybullet

Trying to create my own enviornment and upload to github + pypi.  
In this version of environment, I am trying to change the reward function a little bit 
I am stil keeping the original reward function, but I am adding a new penalty funciton 
if the agent is below the 0.2 height, then it will give a penalty of negative 1. We will see what will happen. 



