Top AI Repos — open-source AI, indexed and scored
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
A Python interface for reinforcement learning environments
| Date | Stars |
|---|---|
| 2026-07-31 | 404 |
| 2026-08-01 | 404 |
| 2026-08-02 | 404 |
| 2026-08-06 | 404 |
Today
— stars today
This week
— stars this week
This month
— stars this month
Momentum
0.0
growth rate 0.00%/day
# `dm_env`: The DeepMind RL Environment API
This package describes an interface for Python reinforcement learning (RL)
environments. It consists of the following core components:
* `dm_env.Environment`: An abstract base class for RL environments.
* `dm_env.TimeStep`: A container class representing the outputs of the
environment on each time step (transition).
* `dm_env.specs`: A module containing primitives that are used to describe the
format of the actions consumed by an environment, as well as the
observations, rewards, and discounts it returns.
* `dm_env.test_utils`: Tools for testing whether concrete environment
implementations conform to the `dm_env.Environment` interface.
Please see the documentation [here][api_docs] for more information about the
semantics of the environment interface and how to use it. The [examples]
subdirectory also contains illustrative examples of RL environments implemented
using the `dm_env` interface.
## Installation
`dm_env` can be installed from PyPI using `pip`:
```bash
pip install dm-env
```
Note that from version 1.4 onwards, we support Python 3.6+ only.
You can also install it directly from our GitHub repository using `pip`:
```bash
pip install git+git://github.com/deepmind/dm_env.git
```
or alternatively by checking out a local copy of our repository and running:
```bash
pip install /path/to/local/dm_env/
```
[api_docs]: docs/index.md
[examples]: examples/
## Citing
To cite this repository:
```bibtex
@misc{dm_env2019,
author={Alistair Muldal and
Yotam Doron and
John Aslanides and
Tim Harley and
Tom Ward and
Siqi Liu},
title={dm\_env: A Python interface for reinforcement learning environments},
year={2019},
url={http://github.com/deepmind/dm_env}
}
```
Excerpt of 1,921 characters
Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:f49c2800d1b600c4, llm:Repository description: 'A Python interface for reinforcement learning environments'; topics include reinforcement-learning, api, interface, deep-learning, machine-learning, python.