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GitHub / dkwapisz / SmartSquareRL
The repository contains the game and a Reinforcement Learning algorithm that will learn to play the game.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dkwapisz%2FSmartSquareRL
Stars: 1
Forks: 0
Open Issues: 0
License: gpl-3.0
Language: Python
Repo Size: 59.4 MB
Dependencies:
175
Created: about 2 years ago
Updated: over 1 year ago
Last pushed: over 1 year ago
Last synced: about 1 year ago
Files
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Dependencies
RL/requirements.txt
pypi
- absl-py =0.15.0=pyhd3eb1b0_0
- aiohttp =3.8.1=py39h7f8727e_1
- aiosignal =1.2.0=pyhd3eb1b0_0
- astor =0.8.1=py39h06a4308_0
- asttokens =2.0.5=pyhd3eb1b0_0
- astunparse =1.6.3=py_0
- async-timeout =4.0.1=pyhd3eb1b0_0
- attrs =21.4.0=pyhd3eb1b0_0
- backcall =0.2.0=pyhd3eb1b0_0
- blas =1.0=mkl
- blinker =1.4=py39h06a4308_0
- brotli =1.0.9=h5eee18b_7
- brotli-bin =1.0.9=h5eee18b_7
- brotlipy =0.7.0=py39h27cfd23_1003
- c-ares =1.18.1=h7f8727e_0
- ca-certificates =2022.07.19=h06a4308_0
- cachetools =4.2.2=pyhd3eb1b0_0
- certifi =2022.9.24=py39h06a4308_0
- cffi =1.15.0=py39hd667e15_1
- charset-normalizer =2.0.4=pyhd3eb1b0_0
- click =8.0.4=py39h06a4308_0
- coverage =6.3.2=py39h7f8727e_0
- cryptography =37.0.1=py39h9ce1e76_0
- cudatoolkit =10.1.243=h6bb024c_0
- cudnn =7.6.5=cuda10.1_0
- cupti =10.1.168=0
- cycler =0.11.0=pyhd3eb1b0_0
- cython =0.29.30=py39h6a678d5_0
- dataclasses =0.8=pyh6d0b6a4_7
- dbus =1.13.18=hb2f20db_0
- decorator =5.1.1=pyhd3eb1b0_0
- executing =0.8.3=pyhd3eb1b0_0
- expat =2.4.9=h6a678d5_0
- fontconfig =2.13.1=h6c09931_0
- fonttools =4.25.0=pyhd3eb1b0_0
- freetype =2.11.0=h70c0345_0
- frozenlist =1.2.0=py39h7f8727e_0
- gast =0.4.0=pyhd3eb1b0_0
- giflib =5.2.1=h7b6447c_0
- glib =2.69.1=h4ff587b_1
- google-auth =2.6.0=pyhd3eb1b0_0
- google-auth-oauthlib =0.4.4=pyhd3eb1b0_0
- google-pasta =0.2.0=pyhd3eb1b0_0
- grpcio =1.35.0=py39h2157cd5_1
- grpcio-tools =1.35.0=py39h2531618_1
- gst-plugins-base =1.14.0=h8213a91_2
- gstreamer =1.14.0=h28cd5cc_2
- h5py =2.10.0=py39hec9cf62_0
- hdf5 =1.10.6=hb1b8bf9_0
- icu =58.2=he6710b0_3
- idna =3.3=pyhd3eb1b0_0
- importlib-metadata =4.11.3=py39h06a4308_0
- intel-openmp =2021.4.0=h06a4308_3561
- ipython =8.4.0=py39h06a4308_0
- jedi =0.18.1=py39h06a4308_1
- joblib =1.1.0=pyhd3eb1b0_0
- jpeg =9e=h7f8727e_0
- keras =2.4.3=hd3eb1b0_0
- keras-base =2.4.3=pyhd3eb1b0_0
- keras-preprocessing =1.1.2=pyhd3eb1b0_0
- kiwisolver =1.4.2=py39h295c915_0
- krb5 =1.19.2=hac12032_0
- lcms2 =2.12=h3be6417_0
- ld_impl_linux-64 =2.38=h1181459_1
- libbrotlicommon =1.0.9=h5eee18b_7
- libbrotlidec =1.0.9=h5eee18b_7
- libbrotlienc =1.0.9=h5eee18b_7
- libclang =10.0.1=default_hb85057a_2
- libedit =3.1.20210910=h7f8727e_0
- libevent =2.1.12=h8f2d780_0
- libffi =3.3=he6710b0_2
- libgcc-ng =11.2.0=h1234567_1
- libgfortran-ng =7.5.0=ha8ba4b0_17
- libgfortran4 =7.5.0=ha8ba4b0_17
- libgomp =11.2.0=h1234567_1
- libllvm10 =10.0.1=hbcb73fb_5
- libpng =1.6.37=hbc83047_0
- libpq =12.9=h16c4e8d_3
- libprotobuf =3.20.1=h4ff587b_0
- libstdcxx-ng =11.2.0=h1234567_1
- libtiff =4.2.0=h2818925_1
- libuuid =1.0.3=h7f8727e_2
- libwebp =1.2.2=h55f646e_0
- libwebp-base =1.2.2=h7f8727e_0
- libxcb =1.15=h7f8727e_0
- libxkbcommon =1.0.1=hfa300c1_0
- libxml2 =2.9.14=h74e7548_0
- libxslt =1.1.35=h4e12654_0
- line_profiler =3.3.1=py39hd09550d_0
- lz4-c =1.9.3=h295c915_1
- markdown =3.3.4=py39h06a4308_0
- matplotlib =3.5.2=py39h06a4308_0
- matplotlib-base =3.5.2=py39hf590b9c_0
- matplotlib-inline =0.1.6=py39h06a4308_0
- mkl =2021.4.0=h06a4308_640
- mkl-service =2.4.0=py39h7f8727e_0
- mkl_fft =1.3.1=py39hd3c417c_0
- mkl_random =1.2.2=py39h51133e4_0
- multidict =5.2.0=py39h7f8727e_2
- munkres =1.1.4=py_0
- ncurses =6.3=h5eee18b_3
- nspr =4.33=h295c915_0
- nss =3.74=h0370c37_0
- numpy =1.22.3=py39he7a7128_0
- numpy-base =1.22.3=py39hf524024_0
- oauthlib =3.1.0=py_0
- openssl =1.1.1q=h7f8727e_0
- opt_einsum =3.3.0=pyhd3eb1b0_1
- packaging =21.3=pyhd3eb1b0_0
- parso =0.8.3=pyhd3eb1b0_0
- pcre =8.45=h295c915_0
- pexpect =4.8.0=pyhd3eb1b0_3
- pickleshare =0.7.5=pyhd3eb1b0_1003
- pillow =9.2.0=py39hace64e9_1
- pip =22.1.2=py39h06a4308_0
- ply =3.11=py39h06a4308_0
- prompt-toolkit =3.0.20=pyhd3eb1b0_0
- protobuf =3.20.1=py39h295c915_0
- psutil =5.9.0=py39h5eee18b_0
- ptyprocess =0.7.0=pyhd3eb1b0_2
- pure_eval =0.2.2=pyhd3eb1b0_0
- pyasn1 =0.4.8=pyhd3eb1b0_0
- pyasn1-modules =0.2.8=py_0
- pycparser =2.21=pyhd3eb1b0_0
- pygments =2.11.2=pyhd3eb1b0_0
- pyjwt =2.4.0=py39h06a4308_0
- pyopenssl =22.0.0=pyhd3eb1b0_0
- pyparsing =3.0.9=py39h06a4308_0
- pyqt =5.15.7=py39h6a678d5_1
- pyqt5-sip =12.11.0=py39h6a678d5_1
- pysocks =1.7.1=py39h06a4308_0
- python =3.9.12=h12debd9_1
- python-dateutil =2.8.2=pyhd3eb1b0_0
- python-flatbuffers =2.0=pyhd3eb1b0_0
- pyyaml =6.0=py39h7f8727e_1
- qt-main =5.15.2=h327a75a_6
- qt-webengine =5.15.9=hd2b0992_4
- qtwebkit =5.212=h4eab89a_4
- readline =8.1.2=h7f8727e_1
- requests =2.28.1=py39h06a4308_0
- requests-oauthlib =1.3.0=py_0
- rsa =4.7.2=pyhd3eb1b0_1
- scikit-learn =1.1.1=py39h6a678d5_0
- scipy =1.7.3=py39hc147768_0
- setuptools =61.2.0=py39h06a4308_0
- sip =6.6.2=py39h6a678d5_0
- six =1.16.0=pyhd3eb1b0_1
- sqlite =3.38.5=hc218d9a_0
- stack_data =0.2.0=pyhd3eb1b0_0
- tensorboard =2.4.0=pyhc547734_0
- tensorboard-plugin-wit =1.6.0=py_0
- tensorflow =2.4.1=gpu_py39h8236f22_0
- tensorflow-base =2.4.1=gpu_py39h29c2da4_0
- tensorflow-estimator =2.6.0=pyh7b7c402_0
- tensorflow-gpu =2.4.1=h30adc30_0
- termcolor =1.1.0=py39h06a4308_1
- threadpoolctl =2.2.0=pyh0d69192_0
- tk =8.6.12=h1ccaba5_0
- toml =0.10.2=pyhd3eb1b0_0
- tornado =6.2=py39h5eee18b_0
- traitlets =5.1.1=pyhd3eb1b0_0
- typing-extensions =4.1.1=hd3eb1b0_0
- typing_extensions =4.1.1=pyh06a4308_0
- tzdata =2022a=hda174b7_0
- urllib3 =1.26.9=py39h06a4308_0
- wcwidth =0.2.5=pyhd3eb1b0_0
- werkzeug =2.0.3=pyhd3eb1b0_0
- wheel =0.37.1=pyhd3eb1b0_0
- wrapt =1.14.1=py39h5eee18b_0
- xz =5.2.5=h7f8727e_1
- yaml =0.2.5=h7b6447c_0
- yarl =1.6.3=py39h27cfd23_0
- zipp =3.8.0=py39h06a4308_0
- zlib =1.2.12=h7f8727e_2
- zstd =1.5.2=ha4553b6_0