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simple-mujoco-usage-v2's Introduction

Simple MuJoCo usage

What can we get out of MuJoco?

env = gym.make('Reacher-v2')
obs,info = env.reset()
for tick in range(1000):
    env.render()
    action = policy(obs)
    obs,reward,done,_ = env.step(action)

For those who have run the code above, you are already running MuJoCo under the hood. However, MuJoCo is not just some physics engines that simulates some robots. In this repository, we focus on the core functionalities of MuJoCo (or any other proper simulators) and how we can leverage such information in robot learning tasks through the lens of a Roboticist.

In particular, we will distinguish kinematic and dynamic simulations (e.g., forward/inverse kinematics/dynamcis).

Contact: [email protected]

simple-mujoco-usage-v2's People

Contributors

sjchoi86 avatar

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