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GitHub / jihoonerd / Human-level-control-through-deep-reinforcement-learning
đ Paper: Human-level control through deep reinforcement learning đšī¸
Stars: 29
Forks: 6
Open Issues: 0
License: mit
Language: Python
Repo Size: 21.4 MB
Dependencies:
91
Created: over 4 years ago
Updated: 18 days ago
Last pushed: 18 days ago
Last synced: 5 days ago
Topics: atari, atlantis, boxing, breakout, deep-learning, deepmind, dqn, pong, reinforcement-learning, tensorflow2
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Dependencies
requirements.txt
pypi
- Jinja2 ==2.11.3
- Keras-Applications ==1.0.8
- Keras-Preprocessing ==1.1.0
- Markdown ==3.1.1
- MarkupSafe ==1.1.1
- Pillow >=6.2.2
- PyWavelets ==1.0.3
- Pygments ==2.7.4
- Send2Trash ==1.5.0
- Werkzeug ==0.16.0
- absl-py ==0.8.0
- astor ==0.8.0
- astroid ==2.3.1
- atari-py ==0.2.6
- atomicwrites ==1.3.0
- attrs ==19.2.0
- backcall ==0.1.0
- bleach ==3.3.0
- cloudpickle ==1.2.2
- cycler ==0.10.0
- decorator ==4.4.0
- defusedxml ==0.6.0
- entrypoints ==0.3
- future ==0.17.1
- gast ==0.2.2
- google-pasta ==0.1.7
- grpcio ==1.24.0
- gym ==0.15.3
- h5py ==2.10.0
- imageio ==2.6.1
- importlib-metadata ==0.23
- ipykernel ==5.1.2
- ipython ==7.16.3
- ipython-genutils ==0.2.0
- ipywidgets ==7.5.1
- isort ==4.3.21
- jedi ==0.15.1
- jsonschema ==3.0.2
- jupyter ==1.0.0
- jupyter-client ==5.3.3
- jupyter-console ==6.0.0
- jupyter-core ==4.5.0
- kiwisolver ==1.1.0
- lazy-object-proxy ==1.4.2
- logger ==1.4
- matplotlib ==3.1.1
- mccabe ==0.6.1
- mistune ==2.0.3
- more-itertools ==7.2.0
- nbconvert ==6.3.0
- nbformat ==4.4.0
- networkx ==2.3
- notebook ==6.4.12
- numpy ==1.22.0
- opencv-python ==4.2.0.32
- opt-einsum ==3.1.0
- packaging ==19.2
- pandocfilters ==1.4.2
- parso ==0.5.1
- pexpect ==4.7.0
- pickleshare ==0.7.5
- pluggy ==0.13.0
- prometheus-client ==0.7.1
- prompt-toolkit ==2.0.9
- protobuf ==3.15.0
- ptyprocess ==0.6.0
- py ==1.10.0
- pyglet ==1.3.2
- pylint ==2.4.2
- pyparsing ==2.4.2
- pyrsistent ==0.15.4
- pytest ==5.0.1
- python-dateutil ==2.8.0
- pyzmq ==18.1.0
- qtconsole ==4.5.5
- scipy ==1.3.1
- six ==1.12.0
- tensorboard ==2.0.0
- tensorflow >=2.4.0
- tensorflow-estimator ==2.0.0
- termcolor ==1.1.0
- terminado ==0.8.2
- testpath ==0.4.2
- tornado ==6.0.3
- traitlets ==4.3.2
- typed-ast ==1.4.0
- wcwidth ==0.1.7
- webencodings ==0.5.1
- widgetsnbextension ==3.5.1
- wrapt ==1.11.2
- zipp ==0.6.0