add A2C benchmark; add more information in PyPI homepage (#70)

* add A2C benchmark; add more information in PyPI homepage

* filter picture in PyPI homepage

README.md

@@ -17,7 +17,7 @@ English | [简体中文](./README.cn.md)
 
 
 # Abstractions
-<img src=".github/abstractions.png" alt="abstractions" width="400"/>  
+<img src=".github/abstractions.png" alt="abstractions" width="400"/>
 PARL aims to build an agent for training algorithms to perform complex tasks.   
 The main abstractions introduced by PARL that are used to build an agent recursively are the following:
 
@@ -123,6 +123,6 @@ pip install parl
 - [GA3C](examples/GA3C/)
 - [Winning Solution for NIPS2018: AI for Prosthetics Challenge](examples/NeurIPS2018-AI-for-Prosthetics-Challenge/)
 
-<img src=".github/NeurlIPS2018.gif" width = "300" height ="200" alt="NeurlIPS2018"/> <img src=".github/Half-Cheetah.gif" width = "300" height ="200" alt="Half-Cheetah"/> <img src=".github/Breakout.gif" width = "200" height ="200" alt="Breakout"/> 
+<img src=".github/NeurlIPS2018.gif" width = "300" height ="200" alt="NeurlIPS2018"/> <img src=".github/Half-Cheetah.gif" width = "300" height ="200" alt="Half-Cheetah"/> <img src=".github/Breakout.gif" width = "200" height ="200" alt="Breakout"/>
 <br>
 <img src=".github/Aircraft.gif"  width = "808" height ="300"  alt="NeurlIPS2018"/>

examples/A2C/README.md

@@ -9,6 +9,8 @@ Please see [here](https://gym.openai.com/envs/#atari) to know more about Atari g
 ### Benchmark result
 Results with one learner (in a P40 GPU) and 5 actors in 10 million sample steps.
 <img src=".benchmark/A2C_Pong.jpg" width = "400" height ="300" alt="A2C_Pong" /> <img src=".benchmark/A2C_Breakout.jpg" width = "400" height ="300" alt="A2C_Breakout"/>
+<img src=".benchmark/A2C_BeamRider.jpg" width = "400" height ="300" alt="A2C_BeamRider" /> <img src=".benchmark/A2C_Qbert.jpg" width = "400" height ="300" alt="A2C_Qbert"/>
+<img src=".benchmark/A2C_SpaceInvaders.jpg" width = "400" height ="300" alt="A2C_SpaceInvaders" />
 
 ## How to use
 ### Dependencies

setup.py

@@ -17,6 +17,12 @@ import os
 import re
 from setuptools import setup, find_packages
 
+cur_dir = os.path.abspath(os.path.dirname(__file__))
+with open(os.path.join(cur_dir, 'README.md'), 'rb') as f:
+    lines = [x.decode('utf-8') for x in f.readlines()]
+    lines = ''.join([re.sub('^<.*>\n$', '', x) for x in lines])
+    long_description = lines
+
 
 def _find_packages(prefix=''):
     packages = []
@@ -31,6 +37,10 @@ def _find_packages(prefix=''):
 setup(
     name='parl',
     version=1.1,
+    description='Reinforcement Learning Framework',
+    long_description=long_description,
+    long_description_content_type='text/markdown',
+    url='https://github.com/PaddlePaddle/PARL',
     packages=_find_packages(),
     package_data={'': ['*.so']},
     install_requires=[
@@ -38,4 +48,13 @@ setup(
         "pyzmq>=17.1.2",
         "pyarrow>=0.12.0",
     ],
+    classifiers=[
+        'Intended Audience :: Developers',
+        'License :: OSI Approved :: Apache Software License',
+        'Operating System :: OS Independent',
+        'Programming Language :: Python :: 2.7',
+        'Programming Language :: Python :: 3.5',
+        'Programming Language :: Python :: 3.6',
+        'Programming Language :: Python :: 3.7',
+    ],
 )