A toolkit for reinforcement learning research with Dreamerv3 using PyTorch.
Project description
dreamkit
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
dreamkit-0.1.0.tar.gz
(35.6 kB
view details)
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
dreamkit-0.1.0-py3-none-any.whl
(42.1 kB
view details)
File details
Details for the file dreamkit-0.1.0.tar.gz.
File metadata
- Download URL: dreamkit-0.1.0.tar.gz
- Upload date:
- Size: 35.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.12.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
fbe8dc88a2ae4a3bd408cb295a3ba970a858b958d8abab9b6c77fae8d935ff3b
|
|
| MD5 |
481a3697aa9bdd2d28285accd7e0f2fd
|
|
| BLAKE2b-256 |
0d28c52be334bfcfd2c0e00a29d09c6849071e65d0277583ea4ab84504c619ba
|
File details
Details for the file dreamkit-0.1.0-py3-none-any.whl.
File metadata
- Download URL: dreamkit-0.1.0-py3-none-any.whl
- Upload date:
- Size: 42.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.12.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
ffc3070366243297d8fac3ad8390eb6e287d8c624e78cbf83e8aa22732348766
|
|
| MD5 |
9019c46d587a3b1b72c775390e802031
|
|
| BLAKE2b-256 |
46b65870838c97ad709a544b2130d3d7057dba36dee776b9c0b9a143747925d0
|
