PyTorch-DRL
PyTorch-DRL is
- a simple PyTorch wrapper making deep reinforcement learning much easier
Quickstart
Template Using PyTorch-DRL
Recommended Structure
.
├── env
│ ├── __init__.py
│ └── customized_env.py
├── net
│ ├── __init__.py
│ └── customized_net.py
├── agent
│ ├── __init__.py
│ └── customized_agent.py
├── trainer
│ ├── __init__.py
│ └── customized_trainer.py
├── main.py
└── requirements.txt
Demo
$ python demo.py
Dependencies and Installation
Package Dependencies
pip install -r requirements.txt can handle all package dependencies.
Install PyTorch-DRL
$ pip install pytorch-drl
Related Projects
1 maintainer
Metadata
1 maintainer
Release files for PyTorch-DRL 0.0.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| PyTorch-DRL-0.0.2.tar.gz | 5.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| PyTorch_DRL-0.0.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 15.2 kB
Release files / PyTorch-DRL-0.0.2.tar.gz
| Download URL | PyTorch-DRL-0.0.2.tar.gz |
|---|---|
| Size | 5.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/3.4.2 importlib_metadata/3.10.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.1 CPython/3.9.5
|
Release files / PyTorch_DRL-0.0.2-py3-none-any.whl
| Download URL | PyTorch_DRL-0.0.2-py3-none-any.whl |
|---|---|
| Size | 9.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.4.2 importlib_metadata/3.10.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.1 CPython/3.9.5
|
