Deep Q Learning Framework
Simple Deep Q Learning framework. This is just a slightly modified version of
DeepMind Acme's implementation of a deep Q network,
with a few extra utilities. You can install it with pip by using the following command:
$ pip install qdeep
Metadata
Release files for qdeep 0.0.1
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| qdeep-0.0.1.tar.gz | 12.5 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| qdeep-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 27.7 kB
Release files / qdeep-0.0.1.tar.gz
| Download URL | qdeep-0.0.1.tar.gz |
|---|---|
| Size | 12.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
3be464cd269f372cad52a92f208e240495bb02ac12eff1b8e634e2fb7c47afd9
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BLAKE2b-256 checksum How to use checksums |
2089e750040d3dc9f8a69540933214ae2008bb20a06496c865e230fc3dc4995a
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/53.0.0 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.6.12
|
Release files / qdeep-0.0.1-py3-none-any.whl
| Download URL | qdeep-0.0.1-py3-none-any.whl |
|---|---|
| Size | 15.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
efa21f09a85761a1a87c67d9c4b59dd0b00f8a92702b02eeadbdfbab50064142
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BLAKE2b-256 checksum How to use checksums |
3b53a05652f705f907753976c9b76afde375860bd49b8e14463bb74997e35cb5
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/53.0.0 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.6.12
|
Security for qdeep 0.0.1
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