Implementation of RL Algorithms
Project description
RLPack
Introduction
Implementation of RL Algorithms built on top of PyTorch. Heavy workloads have been optimized with C++ backend.
Installation
To install RLPack, you can simply do
python -m pip install -U pip
pip install RLPack
To build and install RLPack from source, simply clone and install as follows:
python -m pip install -U pip
git clone https://github.com/kartik2309/RLPack.git
cd RLPack
pip install . --use-feature=in-tree-build
This will install the package in your python environment.
Documentation
RLPack documentation was generated by Doxygen. It can be referred here
Issues and bugs
Please raise an issue if you encounter a bug. If you would like to fix the bug and contribute to RLPack, kindly refer to CONTRIBUTING.md
License
RLPack is released under MIT LICENSE.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file RLPack-1.0.1.tar.gz.
File metadata
- Download URL: RLPack-1.0.1.tar.gz
- Upload date:
- Size: 1.9 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
9a4042c55f0e6a84e2bd6c8ef3b0c8b90ae8b8d4f8e318aa84d930dc5aef3ee3
|
|
| MD5 |
04cf3bba94ae4102626e345435810a44
|
|
| BLAKE2b-256 |
d7d1b94c062dae21554ab69c44b82bea07b0bb94c31990aa3dc823afb6e1d95f
|
File details
Details for the file RLPack-1.0.1-cp39-cp39-macosx_11_0_universal2.whl.
File metadata
- Download URL: RLPack-1.0.1-cp39-cp39-macosx_11_0_universal2.whl
- Upload date:
- Size: 326.0 kB
- Tags: CPython 3.9, macOS 11.0+ universal2 (ARM64, x86-64)
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
c977160eef8be5715125899b45a468f328870acf3494c5249857a69f66c3a292
|
|
| MD5 |
f8b7d854d4209aaa43d706492deae7e6
|
|
| BLAKE2b-256 |
0492ee531e183494ec434c36a4c7fa1c5aaed94dab2ffe789bc835886123f992
|