Meta Reinforcement Learning
Project description
metarl: Meta Reinforcement Learning
API
class MAMLRL implements MAML for RL tasks.
Run Example
from metarl.maml import example as maml_example
maml_example()
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
metarl-0.1.0.tar.gz
(3.5 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
File details
Details for the file metarl-0.1.0.tar.gz.
File metadata
- Download URL: metarl-0.1.0.tar.gz
- Upload date:
- Size: 3.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
174f71b2256b563b4ebca2a2ebbe54ccfcb6116a7a893cb5be6a20b27d1c5707
|
|
| MD5 |
6d06a4c3e456f3210a596d356dcbcd2f
|
|
| BLAKE2b-256 |
61ef8e6d94729b689b032eaaacaa671a0c0076e887a8d81a9e5270e94c95f1da
|
File details
Details for the file metarl-0.1.0-py3-none-any.whl.
File metadata
- Download URL: metarl-0.1.0-py3-none-any.whl
- Upload date:
- Size: 3.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
7d44f80075cc8230a74539ca0fd9984b0d2e6fe9d3d5f60529a2f42e9cd01d30
|
|
| MD5 |
9b899c9696756509de323da39cfedf8c
|
|
| BLAKE2b-256 |
a54b59bb4a1168f72716fc38e72bf93e3b2887cbd806c8a8abf947114fac8022
|