xorl
eXtensible Orchestration for Reinforcement Learning — a lightweight infrastructure for RL training.
Features
- TrainConfig — dataclass-based configuration for RL hyperparameters (PPO-style: gamma, GAE, clipping, etc.)
- Trainer — base trainer with optimizer setup, checkpointing, and training loop
- Utilities — seed management, gradient norm computation, parameter counting
Installation
pip install xorl
Quick Start
from turl import TrainConfig, Trainer
config = TrainConfig(
lr=3e-4,
batch_size=64,
gamma=0.99,
clip_range=0.2,
)
License
Apache-2.0
2 maintainers
Metadata
2 maintainers
Release files for xorl 0.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| xorl-0.1.1.tar.gz | 3.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| xorl-0.1.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 7.7 kB
Release files / xorl-0.1.1.tar.gz
| Download URL | xorl-0.1.1.tar.gz |
|---|---|
| Size | 3.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Release files / xorl-0.1.1-py3-none-any.whl
| Download URL | xorl-0.1.1-py3-none-any.whl |
|---|---|
| Size | 3.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/6.2.0 CPython/3.12.12
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