PyGame-Learning-Environment | PyGame Learning Environment | Reinforcement Learning library

by ntasfi Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | PyGame-Learning-Environment Summary

PyGame-Learning-Environment is a Python library typically used in Artificial Intelligence, Reinforcement Learning, Deep Learning, Pygame applications. PyGame-Learning-Environment has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can download it from GitHub.

PyGame Learning Environment (PLE) -- Reinforcement Learning Environment in Python.

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Quality

Security

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PyGame-Learning-Environment has a medium active ecosystem.

It has 841 star(s) with 202 fork(s). There are 42 watchers for this library.

It had no major release in the last 6 months.

There are 11 open issues and 22 have been closed. On average issues are closed in 117 days. There are 8 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of PyGame-Learning-Environment is current.

Quality

PyGame-Learning-Environment has 0 bugs and 0 code smells.

Security

PyGame-Learning-Environment has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

PyGame-Learning-Environment code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

PyGame-Learning-Environment is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

PyGame-Learning-Environment releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

PyGame-Learning-Environment saves you 1696 person hours of effort in developing the same functionality from scratch.

It has 3759 lines of code, 296 functions and 39 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed PyGame-Learning-Environment and discovered the below as its top functions. This is intended to give you an instant insight into PyGame-Learning-Environment implemented functionality, and help decide if they suit your requirements.

Runs the game
Checks if the hero
Creates a fire ball
Creates the sprites
Draw the map
Calculate the DDA for a side - effect
Handles game events
Updates the player
Check the sprite collision with the given collision group
Move the game
Add blocks to the block
Perform a single step
Updates the player with the given ladderGroupList
Updates the ball based on a ball
Update the screen
Run the game loop
Update the position of the agent
Get action set
Resets the game
Update the creep score
Go to target object
Calculate the action
Get the grayscale
Return the current screen color
Update the bounding box
Make a grid
Gets the current screen s RGB value

Get all kandi verified functions for this library.

PyGame-Learning-Environment Key Features

No Key Features are available at this moment for PyGame-Learning-Environment.

PyGame-Learning-Environment Examples and Code Snippets

No Code Snippets are available at this moment for PyGame-Learning-Environment.

Community Discussions

Trending Discussions on PyGame-Learning-Environment

Error when running a DQN pygame script in Google Colab

Unable to run FlappyBird PLE in google colab

Colaboratory: how to install PyGame Learning Environment

QUESTION

Error when running a DQN pygame script in Google Colab

Asked 2019-Apr-14 at 05:37

When I am running a DQN script using Pygame on Google Colab it is throwing error -

pygame.error: No available video device

I am trying to run this GitHub repo on Google Colab. pong_neural_network_live

Installed the Pygame using following code-

...

ANSWER

Answered 2019-Apr-14 at 05:37

Colab is run in the cloud. It cannot send display to a window on your computer. So, you cannot use Pygame. Or you need some clever hacking like VNC.

Source https://stackoverflow.com/questions/49792820

QUESTION

Unable to run FlappyBird PLE in google colab

Asked 2019-Mar-27 at 22:34

I am trying to use FlappyBird environment in Google Colab for reinforcement learning task. I have downloaded the PLE and PYGAME and set the video driver as 'dummy'. Though the import is successful, it throws 'couldn't find png' error when I instantiate the FlappyBird() class.

I have installed the PLE and PyGame.

...

ANSWER

Answered 2019-Mar-27 at 22:34

I checked the install, and it looks like pip does not install the file redbird-upflap.png. Or at least after installing as per the OP's instructions, no file existed on my machine with that name, except the one in the git download.

Perhaps you can install the file manually (perhaps NOT in google colab).

Source https://stackoverflow.com/questions/55381040

QUESTION

Colaboratory: how to install PyGame Learning Environment

Asked 2018-Feb-28 at 23:28

In Colaboratory, we are forced to use pip install. Some third packages such as gym, PLE, etc, their installation should be

...

ANSWER

Answered 2018-Feb-28 at 20:31

Here's a worked example: https://colab.research.google.com/drive/1PsPArPkxnhCIKSFK2gDA46_vnLMc1U9z

Tips:

Use os.chdir instead of !cd. ! commands execute in a subshell, so their effects won't apply to subsequent commands. os.chdir will, however.
You want to check sys.path instead of site-packages since you're installing with -e.
You'll also need to install pygame. It looks like that's an unlisted dep.

Full install recipe:

Source https://stackoverflow.com/questions/49037430

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install PyGame-Learning-Environment

A PLE instance requires a game exposing a set of control methods. To see the required methods look at ple/games/base.py.
PLE requires the following dependencies:. Clone the repo and install with pip.
numpy
pygame
pillow