Crates.io | gymnasium_cli |
lib.rs | gymnasium_cli |
version | 0.0.1 |
source | src |
created_at | 2024-01-20 19:03:27.544347 |
updated_at | 2024-01-20 19:03:27.544347 |
description | Gymnasium API for Reinforcement Learning |
homepage | |
repository | https://github.com/AndrejOrsula/gymnasium_rs |
max_upload_size | |
id | 1106747 |
size | 26,698 |
Rust implementation of Gymnasium API for reinforcement learning. This implementation is compatible and interoperable with the Python implementation.
The workspace contains these packages:
Add gymnasium
as a Rust dependency to your Cargo.toml
manifest.
[dependencies]
gymnasium = "0.1"
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
To install Docker on your system, you can run
.docker/host/install_docker.bash
to configure Docker with NVIDIA GPU support..docker/host/install_docker.bash
To build a new Docker image from Dockerfile
, you can run .docker/build.bash
as shown below.
.docker/build.bash ${TAG:-latest} ${BUILD_ARGS}
To run the Docker container, you can use .docker/run.bash
as shown below.
.docker/run.bash ${TAG:-latest} ${CMD}
To run the Docker container in a development mode (source code mounted as a volume), you can use .docker/dev.bash
as shown below.
.docker/dev.bash ${TAG:-latest} ${CMD}
As an alternative, users familiar with Dev Containers can modify the included .devcontainer/devcontainer.json
to their needs. For convenience, .devcontainer/open.bash
script is available to open this repository as a Dev Container in VS Code.
.devcontainer/open.bash
To join a running Docker container from another terminal, you can use .docker/join.bash
as shown below.
.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.