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mujoco-py
MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.
Following the instruction on https://github.com/openai/mujoco-py just with the 2.1.5 version and I get following error when I try to import mujoco_py
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dm_control
DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
Deepmind Control Suite is a good alternative to Open AI Gym for continuous control tasks. It contains many of the environments present in Gym and also a few extra ones. Deepmind Control Suite also uses Mujoco. I found the installation to be straightforward. Check out https://github.com/deepmind/dm_control
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SonarQube
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fetch-and-slide-HRE-PRE
In this project, I attempt to solve fetch and slide open gym environment with Hindsight Experience Replay and the I experiment with Prioritised experience replay to see if there are any performance improvements
I had setup difficulties working with mujoco on m1 mac. I had to setup symlinks and also set cxx ans LDFLAGS in order to run mujoco properly. You can check the install script here: https://github.com/DeconvFFT/fetch-and-slide-HRE-PRE
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We are making mujoco installation a lot easier (i.e. pip install gym[mujoco]) without all the pains with mujoco-py by adopting Deepmind’s new mujoco bindings https://github.com/openai/gym/pull/2762, but this is a work in progress…