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.
Control robots in a simulated environment and predict how successful they will be at grasping objects.
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Free · no card · unsubscribe anytimeA MuJoCo/Gym environment for robot control using Reinforcement Learning. The task of agents in this environment is pixel-wise prediction of grasp success chances.
MuJoCo_RL_UR5 has 682 stars on GitHub. It has been forked 69 times. MuJoCo_RL_UR5 is written mainly in Python. It has been in active development since 2020. MuJoCo_RL_UR5 is available under the MIT license. Its main topics are computer-vision, gym-environment, mujoco, pick-and-place.
What is 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.
Is MuJoCo_RL_UR5 open source?
MuJoCo_RL_UR5 is an open-source project. It is released under the MIT license.
Is MuJoCo_RL_UR5 free?
Yes. MuJoCo_RL_UR5 is free and open source — you can use, modify and self-host it.
What license does MuJoCo_RL_UR5 use?
MuJoCo_RL_UR5 is available under the MIT license.
What language is MuJoCo_RL_UR5 written in?
MuJoCo_RL_UR5 is written mainly in Python.
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