L3C
L3C provides variant environments facilitating In-Context Learning, featured in the following assets:
- Vast amounts of diversified tasks with minimal inductive bias
- Lifelong In-Context Learning
- Generative and Interactive
Environments Updating
-
AnyMDP: Procedurally generated unlimited general-purpose Markov Decision Processes (MDP)
-
MetaLanguage: Pseudo-language generated from randomized neural networks
-
MazeWorld: Procedurally generated mazes with diverse maze structures, navigation goals to benchmark object navigation
-
L3C_Baselines: An implementation of the baseline solutions to the above tasks
Installation
pip install l3c
Reference
Cite this work with
@article{wang2024benchmarking,
title={Benchmarking General Purpose In-Context Learning},
author={Wang, Fan and Lin, Chuan and Cao, Yang and Kang, Yu},
journal={arXiv preprint arXiv:2405.17234},
year={2024}
}
1 maintainer
Metadata
1 maintainer
Release files for l3c 0.2.2.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| l3c-0.2.2.0.tar.gz | 1.3 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| l3c-0.2.2.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 2.6 MB
Release files / l3c-0.2.2.0.tar.gz
| Download URL | l3c-0.2.2.0.tar.gz |
|---|---|
| Size | 1.3 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
c1066f50fc206059bc571c18daa9fd2d90ba83ff542968b76a17132ceb115c55
|
|
BLAKE2b-256 checksum How to use checksums |
e9856ae8e8b4b9f8b92238db407d05178e11e12b1982c96d42e5929979b34f97
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.9
|
Release files / l3c-0.2.2.0-py3-none-any.whl
| Download URL | l3c-0.2.2.0-py3-none-any.whl |
|---|---|
| Size | 1.3 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
2e2d07a73c2ec441e77c1f65ec6d4a5fd179cfa5e39ca0838daa647a4b2166e3
|
|
BLAKE2b-256 checksum How to use checksums |
356dffe81416fe66a2ca514ae5ee44516a3c63cc7a9a3a7e52938f39a6fc7015
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.9
|
