dm_control VS IsaacGymEnvs

Compare dm_control vs IsaacGymEnvs and see what are their differences.


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


Isaac Gym Reinforcement Learning Environments (by NVIDIA-Omniverse)
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dm_control IsaacGymEnvs
7 8
3,520 1,579
2.0% 8.2%
7.5 4.6
5 days ago about 1 month ago
Python Python
Apache License 2.0 GNU General Public License v3.0 or later
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.


Posts with mentions or reviews of IsaacGymEnvs. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-01-25.

What are some alternatives?

When comparing dm_control and IsaacGymEnvs you can also consider the following projects:

MuJoCo_RL_UR5 - A MuJoCo/Gym environment for robot control using Reinforcement Learning. The task of agents in this environment is pixel-wise prediction of grasp success chances.

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

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

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).

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

Robotics Library (RL) - The Robotics Library (RL) is a self-contained C++ library for rigid body kinematics and dynamics, motion planning, and control.

robo-gym - An open source toolkit for Distributed Deep Reinforcement Learning on real and simulated robots.

acme - A library of reinforcement learning components and agents

dreamerv2 - Mastering Atari with Discrete World Models

crafter - Benchmarking the Spectrum of Agent Capabilities

Unity-Robotics-Hub - Central repository for tools, tutorials, resources, and documentation for robotics simulation in Unity.

lab - A customisable 3D platform for agent-based AI research