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- python 2.7
Install Unity experimental-build version:
wget http://download.unity3d.com/download_unity/linux/unity-editor-installer-5.3.4f1+20160317.sh
sudo sh unity-editor-installer-5.3.4f1+20160317.sh
# run Unity
./unity-editor-5.3.4f1/Editor/Unity
# if background is pink, install:
sudo apt-get install lib32stdc++6 -y
install python modules:
pip install -r python-agent/requirements.txt
Install Unity. (if you are going to use Ubuntu for GPU pwer, I reccomend install Unity 5.1.0 linux experimental-build version)
install python modules:
pip install -r python-agent/requirements.txt
超人工生命ハッカソンに向けてWindows10マシンにpython環境を整えた
download data:
./fetch.sh
Next, run python module as a server.
cd python-agent
python server.py
Open unity-sample-environment in Unity and load Scenes/sample.
Press Start Buttn. This will take a few minuts for loading caffe model.
You can watch reward history:
cd python-agent
python plot_reward_log.py
This graph is a "sample" scene result. It takes about 6 hours on GPU Machine.
SampleLikesAndDislikes scene result movie
- Client: Unity
- Server: python module
- Communication: Socket (WebSocket over TCP) using MessagePack
Set "Time Scale" to 100. This will make simulation more faster, but GUI response will be very slow.
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Mnih, V. et al. Human-level control through deep reinforcement learning. Nature 518, 529–533 (2015)
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http://www.nature.com/nature/journal/v518/n7540/abs/nature14236.html
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A. Krizhevsky, I. Sutskever, and G. Hinton. ImageNet classification with deep convolutional neural networks. In NIPS, 2012.
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MessagePack for Unity
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Copyright (C) 2011-2012 Kazuki Oikawa, Kazunari Kida
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Apache License, Version 2.0
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Assets/Packages/msgpack-unity
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websocket-sharp
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Copyright (c) 2010-2016 sta.blockhead
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The MIT License (MIT)
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Assets/Packages/websocket-sharp
- Apache License, Version 2.0
- This framework was made by DWANGO ARTIFICIAL INTELLIGENCE LABORATORY and lab member Masayoshi Nakamura
If you created intelligent agents, please let me know about it to "masayoshi_nakamura@dwango.co.jp". We will make showcase varied intelligent agents.