A python module desgined for RL logging, monitoring and experiments managing.

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  • License: MIT
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  • Requires: Python >=3.7

Project description

UtilsRL

UtilsRL is a reinforcement learning utility python package, which is designed for fast integration into other RL projects. Despite its lightweightness, it still provides a full set of functions needed for RL algorithms development.

Currently UtilsRL is maintained by researchers from LAMDA-RL group. Any bug report / feature request / improvement is appreciated.

Installation

You can install this package directly from pypi:

pip install UtilsRL

After installation, you may still need to configure some other dependencies based on your platform, such as PyTorch.

Features & Usage

See the documentation for details.

Acknowledgements

We took inspiration for module design from tianshou and Polixir OfflineRL.

We also thank @YuRuiii, @cmj2020, @paperplane03 and @momanto for their participation in code testing and performance benchmarking.

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0.6.11

0.6.10

0.6.9

0.6.8

0.6.7

0.6.6

0.6.5

0.6.4

0.6.3

0.6.2

0.6.1

0.6.0

0.5.9

0.5.8

0.5.7

0.5.6

0.5.5

0.5.4

0.5.3

0.5.2

0.5.1

0.5.0

0.5.0b3 pre-release

0.5.0b2 pre-release

This version

0.5.0b1 pre-release

0.5.0b0 pre-release

0.5.0a0 pre-release

0.4.8

0.4.7

0.4.6

0.4.5

0.4.4

0.4.3

0.4.2

0.4.1

0.4.0

0.3.13

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