thereadme/flappy-es
1
0
Fork 0
Code Issues Pull Requests Projects Releases Wiki Activity

Charts #2

Closed
mdibaiee wants to merge 6 commits from charts into master
pull from: charts
merge into: thereadme:master
Conversation 0 Commits 6 Files Changed 13 +16 -2
1 changed files with 16 additions and 2 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files
Showing only changes of commit 4746dc9686 - Show all commits

16
README.md
View File

@ -7,7 +7,6 @@ The model learns to play very well after 3000 epochs, but not completely flawles
Training process is pretty fast as there is no backpropagation, and is not very costy in terms of memory as there is no need to record actions as in policy gradients. Training process is pretty fast as there is no backpropagation, and is not very costy in terms of memory as there is no need to record actions as in policy gradients.
Here is a demonstration of the model after 3000 epochs (~5 minutes on an Intel(R) Core(TM) i7-4770HQ CPU @ 2.20GHz): Here is a demonstration of the model after 3000 epochs (~5 minutes on an Intel(R) Core(TM) i7-4770HQ CPU @ 2.20GHz):
![after training](/demo/flappy-success.gif) ![after training](/demo/flappy-success.gif)
also see: [Before training](/demo/flappy-lose.gif) also see: [Before training](/demo/flappy-lose.gif)
@ -43,3 +42,18 @@ the updates become pretty large and will pull the model too much to sides, thus
To try it yourself, there is a `long.npy` file, rename it to `load.npy` (backup `load.npy` before doing so) and run `demo.py`, To try it yourself, there is a `long.npy` file, rename it to `load.npy` (backup `load.npy` before doing so) and run `demo.py`,
you will see the bird failing more often than not. `long.py` was trained for only 100 more epochs than `load.npy`. you will see the bird failing more often than not. `long.py` was trained for only 100 more epochs than `load.npy`.
Web Server
----------
To setup the web server, follow the steps below:
```
cd web
npm install
node server.js
```
You may want to use [pm2](https://github.com/Unitech/pm2) to run the server as a daemon in the background.
Now you can redirect traffic to the port the server is listening on (8088 by default).