| <!DOCTYPE html> | |
| <html> | |
| <head> | |
| <script data-main="usage" src="http://requirejs.org/docs/release/1.0.8/comments/require.js"></script> | |
| </head> | |
| <body> | |
| <p>Check your JavaScript console for output!</p> | |
| </body> | |
| </head> |
| --- | |
| language: objective-c | |
| before_script: | |
| - ./scripts/travis/add-key.sh | |
| after_script: | |
| - ./scripts/travis/remove-key.sh | |
| after_success: | |
| - ./scripts/travis/testflight.sh | |
| env: | |
| global: |
| { | |
| "//comment": "All metainfo files will be ORIGINAL_FILE.mcmeta. For example, textures/blocks/portal.png.mcmeta. The format is, of course, JSON.", | |
| "animation": { | |
| "//comment": "This block will be required for animated textures. It can be an empty block, but it will be needed to detect an animation.", | |
| "frames": [ | |
| 1, | |
| {"index": 2, "time": 4}, | |
| 3, | |
| 4 | |
| ], |
| // create file: | |
| sudo vim /usr/share/applications/intellij.desktop | |
| // add the following | |
| [Desktop Entry] | |
| Version=13.0 | |
| Type=Application | |
| Terminal=false | |
| Icon[en_US]=/home/rob/.intellij-13/bin/idea.png | |
| Name[en_US]=IntelliJ |
| /** | |
| * Represents an axix-aligned bounding box. | |
| * | |
| * @author Kristian | |
| */ | |
| public class AABB { | |
| public static class Vec3D { | |
| /** | |
| * Point with the coordinate (1, 1, 1). | |
| */ |
Follow the steps below to install Team City 9.0.3 on Ubuntu with Nginx as the proxy for port 80.
Install Team City:
# will install on port 8111
sudo wget -c https://gist.githubusercontent.com/sandcastle/9282638/raw/teamcity-install.sh -O /tmp/teamcity-install.sh
pgb-wrapper.js is a generic wrapper module around the phonegap-build-api NodeJS package to add promise support and some helpful functions to make it easier to create a build script.
pgb.example.js is one example of such a build script, but you might decide to do it differently.
You can execute pgb.example.js by:
node pgb.example.js --appId {PGB_APP_ID} --apiKey {PGB_API_KEY} --zipFile {path/to/deployment_file.zip} --iosOverTheAirKey {NAME_OF_IOS_OVER_THE_AIR_KEY_IN_PGB} --iosOverTheAirKeyPassword {PASSWORD_OF_IOS_OVER_THE_AIR_KEY_IN_PGB} --iosKey {NAME_OF_IOS_PRODUCTION_KEY_IN_PGB} --iosKeyPassword {PASSWORD_OF_IOS_PRODUCTION_KEY_IN_PGB} --androidKey {NAME_OF_ANDROID_PRODUCTION_KEY_IN_PGB} --androidKeyPassword {PASSWORD_OF_ANDROID_PRODUCTION_KEY_IN_PGB}
The following node packages need to be installed for it all to work:
| Disclaimer: The instructions are the collective efforts from a few places online. | |
| Nothing here is my original. But I want to put them together in one place to save people from spending the same time as I did. | |
| First off, bundle. | |
| ================== | |
| 1. cd to the project directory | |
| 2. Start the react-native packager if not started | |
| 3. Download the bundle to the asset folder: | |
| curl "http://localhost:8081/index.android.bundle?platform=android" -o "android/app/src/main/assets/index.android.bundle" |
| """ Trains an agent with (stochastic) Policy Gradients on Pong. Uses OpenAI Gym. """ | |
| import numpy as np | |
| import cPickle as pickle | |
| import gym | |
| # hyperparameters | |
| H = 200 # number of hidden layer neurons | |
| batch_size = 10 # every how many episodes to do a param update? | |
| learning_rate = 1e-4 | |
| gamma = 0.99 # discount factor for reward |
| import gym | |
| import random | |
| import numpy as np | |
| import tensorflow as tf | |
| class DQN: | |
| REPLAY_MEMORY_SIZE = 10000 | |
| RANDOM_ACTION_PROB = 0.5 | |
| RANDOM_ACTION_DECAY = 0.99 |