metarl: Meta Reinforcement Learning

API

class MAMLRL implements MAML for RL tasks.

Run Example

from metarl.maml import example as maml_example
maml_example()

Metadata

Release files for metarl 0.1.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for metarl 0.1.0
File	Size	Uploaded	Provenance
metarl-0.1.0.tar.gz	3.5 kB	Nov 24, 2024	Without provenance	Details

Built distribution (wheel)

Table of built distributions (wheels) for metarl 0.1.0
File	Interpreter	ABI	Platform	Reset
metarl-0.1.0-py3-none-any.whl 3.8 kB Nov 24, 2024 Without provenance	Python 3	none	any	Details

Total release size: 7.3 kB

Release files / metarl-0.1.0.tar.gz

Download URL	metarl-0.1.0.tar.gz
Size	3.5 kB
Tags	Source
SHA-256 checksum How to use checksums	`174f71b2256b563b4ebca2a2ebbe54ccfcb6116a7a893cb5be6a20b27d1c5707`
BLAKE2b-256 checksum How to use checksums	`61ef8e6d94729b689b032eaaacaa671a0c0076e887a8d81a9e5270e94c95f1da`
Upload date	Nov 24, 2024
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/5.1.1 CPython/3.12.7`

Release files / metarl-0.1.0-py3-none-any.whl

Download URL	metarl-0.1.0-py3-none-any.whl
Size	3.8 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`7d44f80075cc8230a74539ca0fd9984b0d2e6fe9d3d5f60529a2f42e9cd01d30`
BLAKE2b-256 checksum How to use checksums	`a54b59bb4a1168f72716fc38e72bf93e3b2887cbd806c8a8abf947114fac8022`
Upload date	Nov 24, 2024
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/5.1.1 CPython/3.12.7`

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This release

0.1.0 This release

Nov 24, 2024 2 release files No provenance

metarl 0.1.0