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GitHub / rumaak / dqn_implementation
Implementation of DQN as specified in Human Level Control Through Deep Reinforcement Learning
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rumaak%2Fdqn_implementation
Stars: 0
Forks: 0
Open Issues: 12
License: None
Language: Jupyter Notebook
Repo Size: 705 KB
Dependencies:
68
Created: over 4 years ago
Updated: over 2 years ago
Last pushed: over 1 year ago
Last synced: about 1 year ago
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Dependencies
requirements.txt
pypi
- Jinja2 ==2.10.1
- MarkupSafe ==1.1.1
- Pillow ==6.1.0
- PyWavelets ==1.0.3
- PyYAML ==5.1.2
- Pygments ==2.4.2
- Send2Trash ==1.5.0
- atari-py ==0.2.6
- attrs ==19.1.0
- backcall ==0.1.0
- bleach ==3.1.0
- cloudpickle ==1.2.2
- cycler ==0.10.0
- decorator ==4.4.0
- defusedxml ==0.6.0
- entrypoints ==0.3
- future ==0.17.1
- gym ==0.14.0
- imageio ==2.5.0
- ipykernel ==5.1.2
- ipython ==7.8.0
- ipython-genutils ==0.2.0
- ipywidgets ==7.5.1
- jedi ==0.15.1
- json5 ==0.8.5
- jsonschema ==3.0.2
- jupyter-client ==5.3.2
- jupyter-contrib-core ==0.3.3
- jupyter-contrib-nbextensions ==0.5.1
- jupyter-core ==4.5.0
- jupyter-highlight-selected-word ==0.2.0
- jupyter-latex-envs ==1.4.6
- jupyter-nbextensions-configurator ==0.4.1
- jupyterlab ==1.2.21
- jupyterlab-server ==1.0.6
- kiwisolver ==1.1.0
- lxml ==4.4.1
- matplotlib ==3.1.1
- mistune ==0.8.4
- nbconvert ==5.6.0
- nbformat ==4.4.0
- networkx ==2.3
- notebook ==6.0.1
- numpy ==1.17.2
- opencv-python ==4.1.1.26
- pandocfilters ==1.4.2
- parso ==0.5.1
- pexpect ==4.7.0
- pickleshare ==0.7.5
- prometheus-client ==0.7.1
- prompt-toolkit ==2.0.9
- ptyprocess ==0.6.0
- pyglet ==1.3.2
- pyparsing ==2.4.2
- pyrsistent ==0.15.4
- python-dateutil ==2.8.0
- pyzmq ==18.1.0
- scikit-image ==0.15.0
- scipy ==1.3.1
- six ==1.12.0
- terminado ==0.8.2
- testpath ==0.4.2
- tornado ==6.0.3
- tqdm ==4.36.1
- traitlets ==4.3.2
- wcwidth ==0.1.7
- webencodings ==0.5.1
- widgetsnbextension ==3.5.1