Levi Burner
a7eb6efd4e
-- 3a95b62f59e81bfef0f076afb173ecc14b27943d by Levi Burner <leviburner@gmail.com>: rollout prototype native threadpool for comparing to python threads -- efd8be1124ac839b902de45973a3ca8b9f2215e6 by Levi Burner <leviburner@gmail.com>: copy mjpcs threadpool into python bindings -- 75603eea3e8362e354a9675e8a6cd14e56ec3d28 by Levi Burner <leviburner@gmail.com>: rollout use threadpool as translation unit -- 06b90febd021663f6cc81fd7895e4d6e2008ed97 by Levi Burner <leviburner@gmail.com>: rollout add chunk_divisor parameter -- 298ab2f3c0d6e12530832c3cdbf784dd92d54806 by Levi Burner <leviburner@gmail.com>: rollout add native threading test -- 169cf9978e7abad6edd1392b8e6aab995e4f8f10 by Levi Burner <leviburner@gmail.com>: rollout exchange chunk_divisor arg for chunk_size -- 265af851d74432d261277d3dbda11cdef1841bc8 by Levi Burner <leviburner@gmail.com>: rollout fix cosmetics -- 1e8bffa88bf36190501b334bef31147e23db39f7 by Levi Burner <leviburner@gmail.com>: make native rollout a class instead of a function -- ba788214b047577f58c41ce0ab6c62c277cd8b0d by Levi Burner <leviburner@gmail.com>: rollout update docs and changelog -- e4cb7732319e04cba2ab2c2ad848c659f6309808 by Levi Burner <leviburner@gmail.com>: rollout don't register atexit handler for Rollout objects -- 5a08d2efdbbbb01d4b1231ff9a36a1dc44f4d9ee by Levi Burner <leviburner@gmail.com>: rollout nthread kwarg, rename shutdown_pool to close, fixups -- f622378543596a208339af0208fa3a70bf2a8007 by Levi Burner <leviburner@gmail.com>: rollout add missing .close() calls -- 50f3ebca43c53eac03f03943c34bb1e46967bd4f by Levi Burner <leviburner@gmail.com>: rollout return immediately COPYBARA_INTEGRATE_REVIEW=https://github.com/google-deepmind/mujoco/pull/2282 from aftersomemath:rollout-threaded 50f3ebca43c53eac03f03943c34bb1e46967bd4f PiperOrigin-RevId: 706744277 Change-Id: I1ab2263b7d6ce30cf1908aec8fd5f2eb976a19e6
MuJoCo Python Bindings
This package is the canonical Python bindings for the MuJoCo physics engine. These bindings are developed and maintained by Google DeepMind, and is kept up-to-date with the latest developments in MuJoCo itself.
The mujoco package provides direct access to raw MuJoCo C API functions,
structs, constants, and enumerations. Structs are provided as Python classes,
with Pythonic initialization and deletion semantics.
It is not the aim of this package to provide fully fledged
scene/environment/game authoring API, as there are already a number of existing
packages that do this well. However, this package does provide a number of
lower-level components outside of MuJoCo itself that are likely to be useful to
most users who access MuJoCo through Python. For example, the egl, glfw, and
osmesa subpackages contain utilities for setting up OpenGL rendering contexts.
Installation
The recommended way to install this package is via PyPI:
pip install mujoco
A copy of the MuJoCo library is provided as part of the package and does not need to be downloaded or installed separately.
Source
IMPORTANT: Building from source is only necessary if you are modifying the Python bindings (or are trying to run on exceptionally old Linux systems). If that's not the case, then we recommend installing the prebuilt binaries from PyPI.
If you need to build the Python bindings from source, please consult the documentation.
Usage
Once installed, the package can be imported via import mujoco. Please consult
our documentation for
further detail on the package's API.
We recommend going through the tutorial notebook which covers the basics of
MuJoCo using Python:
Versioning
The major.minor.micro portion of the version number matches the version of
MuJoCo that the bindings provide. Optionally, if we release updates to the
Python bindings themselves that target the same version of MuJoCo, a .postN
suffix is added, for example 2.1.2.post2 represents the second update to the
bindings for MuJoCo 2.1.2.
License and Disclaimer
Copyright 2022 DeepMind Technologies Limited
MuJoCo and its Python bindings are licensed under the Apache License, Version 2.0. You may obtain a copy of the License at https://www.apache.org/licenses/LICENSE-2.0.
This is not an officially supported Google product.