https://github.com/cair/deepaxie
Implementation of a simplified Axie Infinity Environment in C++ that is used to train an agent with the reinforcement learning algorithm DQN to play the game.
https://github.com/cair/deepaxie
Last synced: 28 days ago
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Implementation of a simplified Axie Infinity Environment in C++ that is used to train an agent with the reinforcement learning algorithm DQN to play the game.
- Host: GitHub
- URL: https://github.com/cair/deepaxie
- Owner: cair
- Created: 2022-05-29T18:21:16.000Z (almost 3 years ago)
- Default Branch: main
- Last Pushed: 2022-05-29T22:17:38.000Z (almost 3 years ago)
- Last Synced: 2025-02-04T21:45:15.528Z (3 months ago)
- Language: C++
- Size: 3.09 MB
- Stars: 1
- Watchers: 4
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# DeepAxie v1.0
DeepAxie is a simplified version of the NFT-card-game Axie Infinity.
Check the report [here](https://github.com/cair/DeepAxie/blob/main/DeepAxieQLearning.pdf) for more details on this project.
The following picture is how the environment looks when executing in python.
## Reinforcement Learning using DQN
To use the environment in python, check the file [test.py](https://github.com/cair/DeepAxie/blob/main/test.py).
## To compile the library
Compile lib on Mac (x86)
```
clang -O3 -Wall -shared -undefined dynamic_lookup -std=c++17 -fPIC
$(python3 -m pybind11 --includes) DeepAxie.cpp -o DeepAxie.so -target
x86_64-apple-darwin-macho
```
Compile lib on Mac (M1)
```
clang -O3 -Wall -shared -undefined dynamic_lookup -std=c++17 -fPIC
$(python3 -m pybind11 --includes) DeepAxie.cpp -o DeepAxie.so -target
arm64e-apple-darwin-macho
```
Compile lib on linux:
```
g++ -O3 -Wall -shared -std=c++17 -fPIC $(python3 -m pybind11 --includes)
DeepAxie.cpp -o DeepAxieLinux.so
```
To compile the library for windows you might want to use `"g++"` or
`"gcc"`.
To run code with library on M1 mac, try the following link:
https://github.com/apple/tensorflow_macos
For compiling library on different operating systems, check "Target
Triple" from this link:
https://clang.llvm.org/docs/CrossCompilation.html
## conpile library with pybind11 inside Docker
Python & C++
This was made as a workaround when developing on different systems, but
works across systems by using Docker!
How to use:
```
cd pybind11-docker
cd base
docker build . -t base
cd ../app
docker build . -t app
docker run --rm -it app
```
when inside the container:
```
python3
import test
test.add(1, 5)
```
or
```
python3 hello.py
```
Licence
Copyright 2022 Rune Alexander Laursen, Peshang Alo
Permission is hereby granted, free of charge, to any person obtaining a
copy of this software and associated documentation files (the "Software"),
to deal in the Software without restriction, including without limitation
the rights to use, copy, modify, merge, publish, distribute, sublicense,
and/or sell copies of the Software, and to permit persons to whom the
Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in
all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL
THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
DEALINGS IN THE SOFTWARE.
The implementation is inspired by:
https://medium.com/@keithwhitley/using-c-with-python-3-in-2018-480f3e46c8c
and https://youtu.be/R9dtxqVdc8M.