semvec/pypi-packages huggingface dataset:
PettingZoo 1.22.3
Gymnasium for multi-agent reinforcement learning
Requires Python: >=3.7, <3.12
Keywords: Reinforcement Learning,game,RL,AI,gymnasium

<p align="center">
    <img src="https://raw.githubusercontent.com/Farama-Foundation/PettingZoo/master/pettingzoo-text.png" width="500px"/>
</p>

PettingZoo is a Python library for conducting research in multi-agent reinforcement learning, akin to a multi-agent version of [Gymnasium](https://github.com/Farama-Foundation/Gymnasium).

The documentation website is at [pettingzoo.farama.org](https://pettingzoo.farama.org) and we have a public discord server (which we also use to coordinate development work) that you can join here: https://discord.gg/nhvKkYa6qX

## Environments

PettingZoo includes the following families of environments:

* [Atari](https://pettingzoo.farama.org/environments/atari/): Multi-player Atari 2600 games (cooperative, competitive and mixed sum)
* [Butterfly](https://pettingzoo.farama.org/environments/butterfly): Cooperative graphical games developed by us, requiring a high degree of coordination
* [Classic](https://pettingzoo.farama.org/environments/classic): Classical games including card games, board games, etc.
* [MPE](https://pettingzoo.farama.org/environments/mpe): A set of simple nongraphical communication tasks, originally from https://github.com/openai/multiagent-particle-envs
* [SISL](https://pettingzoo.farama.org/environments/sisl): 3 cooperative environments, originally from https://github.com/sisl/MADRL
tttplots 0.1.1
Time-to-target Plots
Requires Python: <4,>=3.7

# tttplots
A modern Python implementation for [Time-to-target Plots](http://mauricio.resende.info/tttplots/).

## Getting Started

```bash
$ pip install tttplots

$ tttplots --help
```

## References
1. Renata M. Aiex, Mauricio G. C. Resende, and Celso C. Ribeiro, **TTTPLOTS: A PERL PROGRAM TO CREATE TIME-TO-TARGET PLOTS**, Oct, 2005.