No project description provided
Project description
deluca
Performant, differentiable reinforcement learning
Notes
- This is pre-alpha software and is undergoing a number of core changes. Updates to follow.
delucais currently implemented as a minimal Python namespace package. It will contain environments and agents that only depend on NumPy, along with utilities for benchmarking, visualization, etc.- The remainder of environments are developed in separate plugins (also Python
namespace packages)
deluca-jax: differentiable environments and relevant agents implemented usingjaxdeluca-lung: differentiable lung simulators and relevant agents implemented inPyTorch
- Documentation forthcoming!
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
deluca-0.0.18.tar.gz
(10.3 kB
view details)
File details
Details for the file deluca-0.0.18.tar.gz.
File metadata
- Download URL: deluca-0.0.18.tar.gz
- Upload date:
- Size: 10.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.29.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.66.1 CPython/3.7.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 5936eb490b7c3de9f2b81d4fafa6f9d256e428f33ab5a3790f837ccc21e1297d |
|
| MD5 | a153634e1dee0db48d4121f4d177a1af |
|
| BLAKE2b-256 | d2c794139464d61662208acc339a5f59d5c60e9cf376a7b53ad0e482328609ff |
