dm_control VS Robotics Library (RL)

Compare dm_control vs Robotics Library (RL) and see what are their differences.


Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo. (by google-deepmind)

Robotics Library (RL)

The Robotics Library (RL) is a self-contained C++ library for rigid body kinematics and dynamics, motion planning, and control. (by roboticslibrary)
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dm_control Robotics Library (RL)
7 2
3,528 840
2.2% 4.4%
7.5 5.2
5 days ago about 2 months ago
Python C++
Apache License 2.0 BSD 2-clause "Simplified" License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.


Posts with mentions or reviews of dm_control. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-25.

Robotics Library (RL)

Posts with mentions or reviews of Robotics Library (RL). We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-01.

What are some alternatives?

When comparing dm_control and Robotics Library (RL) you can also consider the following projects:

ROS - Core ROS packages

moveit - :robot: The MoveIt motion planning framework

gym - A toolkit for developing and comparing reinforcement learning algorithms.

baselines - OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

DART - DART: Dynamic Animation and Robotics Toolkit

IsaacGymEnvs - Isaac Gym Reinforcement Learning Environments

FCL - Flexible Collision Library

pytorch-a2c-ppo-acktr-gail - PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

PCL - Point Cloud Library (PCL)

MRPT - :zap: The Mobile Robot Programming Toolkit (MRPT)

mujoco-py - MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.

AIKIDO - Artificial Intelligence for Kinematics, Dynamics, and Optimization