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

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.

Project details

Release history Release notifications | RSS feed

0.6.11

Jul 11, 2024

0.6.10

May 6, 2024

0.6.9

May 3, 2024

0.6.8

Apr 21, 2024

0.6.7

Mar 8, 2024

0.6.6

Feb 20, 2024

0.6.5

Jan 11, 2024

0.6.4

Nov 27, 2023

0.6.3

Sep 5, 2023

0.6.2

Aug 31, 2023

0.6.1

Aug 31, 2023

0.6.0

Aug 30, 2023

0.5.9

May 5, 2023

0.5.8

May 5, 2023

0.5.7

Apr 12, 2023

0.5.6

Apr 11, 2023

0.5.5

Mar 31, 2023

0.5.4

Mar 17, 2023

0.5.3

Mar 12, 2023

0.5.2

Feb 24, 2023

0.5.1

Feb 17, 2023

0.5.0

Feb 15, 2023

0.5.0b3 pre-release

Feb 13, 2023

0.5.0b2 pre-release

Feb 11, 2023

0.5.0b1 pre-release

Jan 14, 2023

0.5.0b0 pre-release

Jan 13, 2023

0.5.0a0 pre-release

Jan 1, 2023

0.4.8

Jul 31, 2022

0.4.7

Jul 25, 2022

This version

0.4.6

Jul 3, 2022

0.4.5

Jul 3, 2022

0.4.4

Jun 16, 2022

0.4.3

Jun 5, 2022

0.4.2

Jun 5, 2022

0.4.1

Jun 3, 2022

0.4.0

Jun 2, 2022

0.3.13

May 24, 2022

0.3.12

May 16, 2022

0.3.11

May 11, 2022

0.3.10

Apr 9, 2022

0.3.8

Apr 9, 2022

0.3.7

Apr 9, 2022

0.3.6

Apr 1, 2022

0.3.5

Mar 23, 2022

0.3.4

Mar 23, 2022

0.3.3

Mar 23, 2022

0.3.2

Mar 22, 2022

0.3.1

Mar 22, 2022

0.3.0

Mar 21, 2022

0.2.4

Mar 20, 2022

0.2.3

Feb 21, 2022

0.2.2

Feb 15, 2022

0.2.1

Feb 15, 2022

0.2.0

Feb 14, 2022

0.1.1

Feb 13, 2022

0.1.0

Feb 10, 2022

0.0.2

Feb 8, 2022

0.0.1

Feb 7, 2022

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