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Project description
Requirements
Ubuntu 20.04
or laterMacOS 10.15
or laterPython >= 3.7
Example
from mjx import MjxEnv
from mjx.agent import RandomAgent
agent = RandomAgent()
env = MjxEnv()
player_id, observation = env.reset()
while not env.done():
action = agent.act(observation)
player_id, observation = env.step(action)
rewards = env.rewards()
Visualization
Available at https://mjx-visualizer.an.r.appspot.com/
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