MuJoCo_RL_UR5 VS myosuite

Compare MuJoCo_RL_UR5 vs myosuite and see what are their differences.

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. (by PaulDanielML)

myosuite

MyoSuite is a collection of environments/tasks to be solved by musculoskeletal models simulated with the MuJoCo physics engine and wrapped in the OpenAI gym API. (by MyoHub)
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MuJoCo_RL_UR5 myosuite
1 4
303 765
- 0.9%
0.0 9.2
over 1 year ago 4 days ago
Python Python
MIT License Apache License 2.0
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.

MuJoCo_RL_UR5

Posts with mentions or reviews of MuJoCo_RL_UR5. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-22.

myosuite

Posts with mentions or reviews of myosuite. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-05-31.

What are some alternatives?

When comparing MuJoCo_RL_UR5 and myosuite you can also consider the following projects:

IsaacGymEnvs - Isaac Gym Reinforcement Learning Environments

DI-engine - OpenDILab Decision AI Engine

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

dm_control - Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

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

Metaworld - Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning

Wave-Defense-Learning-Environment - A videogame made with PyGame turned into an Open AI Gym Learning Environment for Reinforcement Learning agents.

HighwayEnv - A minimalist environment for decision-making in autonomous driving

gym-md - MiniDungeons for OpenAI Gym