Rust implementation of Gymnasium API for reinforcement learning. This implementation is compatible and interoperable with the Python implementation.

The workspace contains these packages:

• gymnasium: Public API
• gymnasium_cli: [WIP] CLI tool
• gymnasium_core: Core library
• gymnasium_py: [WIP] Python module named gymnasium_rs for interoperability with Rust environments (Rust -> Python)
• gymnasium_derive: [WIP] Procedural macros for deriving traits
• gymnasium_sys: Rust FFI bindings for the official Python implementation of gymnasium

Add gymnasium as a Rust dependency to your Cargo.toml manifest.

[dependencies]
gymnasium = "0.1"

Examples: gymnasium/examples/

Install the gymnasium_rs executable with cargo.

cargo install --locked gymnasium_cli

Afterwards, run the gymnasium_rs executable.

# Pass `--help` to show the usage and available options
gymnasium_rs

.docker/build.bash ${TAG:-latest} ${BUILD_ARGS}

.docker/run.bash ${TAG:-latest} ${CMD}

.docker/dev.bash ${TAG:-latest} ${CMD}

.devcontainer/open.bash

.docker/join.bash ${CMD:-bash}

This project is dual-licensed to be compatible with the Rust project, under either the MIT or Apache 2.0 licenses.

Unless you explicitly state otherwise, any contribution intentionally submitted for inclusion in the work by you, as defined in the Apache-2.0 license, shall be dual licensed as above, without any additional terms or conditions.