This is the Linux app named dm_control whose latest release can be downloaded as 1.0.15_UpgradetoMuJoCo3.0.0sourcecode.zip. It can be run online in the free hosting provider OnWorks for workstations.
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dm_control
DESCRIPTION
DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo. DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo physics. The MuJoCo Python bindings support three different OpenGL rendering backends: EGL (headless, hardware-accelerated), GLFW (windowed, hardware-accelerated), and OSMesa (purely software-based). At least one of these three backends must be available in order render through dm_control. Hardware rendering with a windowing system is supported via GLFW and GLEW. On Linux these can be installed using your distribution's package manager. "Headless" hardware rendering (i.e. without a windowing system such as X11) requires EXT_platform_device support in the EGL driver. While dm_control has been largely updated to use the pybind11-based bindings provided via the mujoco package, at this time it still relies on some legacy components that are automatically generated.
Features
- Starting from version 1.0.0, we adopt semantic versioning
- Install dm_control from PyPI
- GLFW will not work on headless machines
- The MuJoCo Python bindings support three different OpenGL rendering backends
- Interactive environment viewer
- Library for defining rich RL environments from reusable, self-contained components
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/dm-control.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
