cervo-core 0.6.0

High level APIs for RL in games.
Documentation
<!-- Allow this file to not have a first line heading -->
<!-- markdownlint-disable-file MD041 -->

<!-- inline html -->
<!-- markdownlint-disable-file MD033 -->

<div align="center">

<!--- FIXME: Pick an emoji and name your project! --->
# `🧠 cervo`

**Wrapper around [tract](https://github.com/sonos/tract) used for ML workloads in our games.**

[![Embark](https://img.shields.io/badge/embark-open%20source-blueviolet.svg)](https://embark.dev)
[![Embark](https://img.shields.io/badge/discord-ark-%237289da.svg?logo=discord)](https://discord.gg/dAuKfZS)
<!-- [![Crates.io](https://img.shields.io/crates/v/rust-gpu.svg)](https://crates.io/crates/rust-gpu) -->
<!-- [![Docs](https://docs.rs/rust-gpu/badge.svg)](https://docs.rs/rust-gpu) -->
<!-- [![dependency status](https://deps.rs/repo/github/EmbarkStudios/rust-gpu/status.svg)](https://deps.rs/repo/github/EmbarkStudios/rust-gpu) -->
[![Build status](https://github.com/EmbarkStudios/cervo/workflows/CI/badge.svg)](https://github.com/EmbarkStudios/cervo/actions)
</div>

Cervo is intended to be a thin wrapper around tract, at a slightly
higher abstraction level and with common utilities we need. While not
a goal, our current use-cases has led to a design centered around
dynamic batching and dictionary inputs for reinforcement-learning
based agents.

As of currently, Cervo offers a set of inferers, noise generators (for
continuous-action/parametrized policies), and a unified asset format.

## Contribution

[![Contributor Covenant](https://img.shields.io/badge/contributor%20covenant-v1.4-ff69b4.svg)](CODE_OF_CONDUCT.md)

We welcome community contributions to this project.

Please read our [Contributor Guide](CONTRIBUTING.md) for more information on how to get started.
Please also read our [Contributor Terms](CONTRIBUTING.md#contributor-terms) before you make any contributions.

Any contribution intentionally submitted for inclusion in an Embark Studios project, shall comply with the Rust standard licensing model (MIT OR Apache 2.0) and therefore be dual licensed as described below, without any additional terms or conditions:

### License

This contribution is dual licensed under EITHER OF

* Apache License, Version 2.0, ([LICENSE-APACHE]LICENSE-APACHE or <http://www.apache.org/licenses/LICENSE-2.0>)
* MIT license ([LICENSE-MIT]LICENSE-MIT or <http://opensource.org/licenses/MIT>)

at your option.

For clarity, "your" refers to Embark or any other licensee/user of the contribution.