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Bump version number to v2.2.2
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PiperOrigin-RevId: 617371865
Change-Id: I7992a874b64169ed152126eab64d5b470b317bd6
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@jagapiou
jagapiou authored and Copybara-Service committed Mar 20, 2024
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9 changes: 8 additions & 1 deletion CHANGELOG.md
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Expand Up @@ -5,7 +5,14 @@ All notable changes to this project will be documented in this file.
The format is based on [Keep a Changelog](http://keepachangelog.com/)
and this project adheres to [Semantic Versioning](http://semver.org/).

## [2.2.1] - 2023-07-25
## [2.2.2] - 2024-03-20

### Fixed

- Update setup.py to work with earlier setuptools (fixes broken 2.2.1 release).


## [2.2.1] - 2024-03-19 [YANKED]

### Changed

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2 changes: 1 addition & 1 deletion setup.py
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Expand Up @@ -21,7 +21,7 @@
import setuptools
from setuptools.command import build_py

VERSION = '2.2.1'
VERSION = '2.2.2'
ASSETS_VERSION = '2.1.0'

ASSETS_URL = f'http://storage.googleapis.com/dm-meltingpot/meltingpot-assets-{ASSETS_VERSION}.tar.gz'
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3 comments on commit c3f7bb0

@gogo16888
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Hello, Mr. Administrator.
After installing using pip, I want to run a Training. I downloaded the following examples related package, but the 'requirements. txt' file was not found in the package, and the 'self_play_train. py' was also not found. I am a beginner in this field, but I am very interested. I hope you can answer this installation question. Thank you.

————————————>

RLlib

This example uses RLlib to train agents in self-play on a Melting Pot substrate.

First you will need to install the dependencies needed by the examples:

cd <meltingpot_root>
pip install -r examples/requirements.txt

Then you can run the training experiment using:

cd examples/rllib
python self_play_train.py

@gogo16888
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I manually installed Gymnasium-0.29.1, I'm not sure if it works?
-------------------------->
Using cached Gymnasium-0.26.3-py3-none-any.whl (836 kB)
Installing collected packages: gymnasium
Attempting uninstall: gymnasium
Found existing installation: gymnasium 0.29.1
Uninstalling gymnasium-0.29.1:
Successfully uninstalled gymnasium-0.29.1
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
stable-baselines3 2.2.1 requires gymnasium<0.30,>=0.28.1, but you have gymnasium 0.26.3 which is incompatible.
supersuit 3.9.2 requires gymnasium>=0.28.1, but you have gymnasium 0.26.3 which is incompatible.
pettingzoo 1.24.3 requires gymnasium>=0.28.0, but you have gymnasium 0.26.3 which is incompatible.
Successfully installed gymnasium-0.26.3

@jagapiou
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Sorry about this, the examples are broken and have been for some time.

I created #232 to make this issue more clear and to track the issue.

This issue isn't really related to this commit, so let's take any further conversation there please.

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