File size: 174 Bytes
e9aa1ed | 1 2 3 4 5 6 7 | import numpy as np
def predict(obs, gain=20.0):
error = obs["desired_goal"] - obs["achieved_goal"]
return np.clip(gain * error, -1.0, 1.0).astype(np.float32)
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e9aa1ed | 1 2 3 4 5 6 7 | import numpy as np
def predict(obs, gain=20.0):
error = obs["desired_goal"] - obs["achieved_goal"]
return np.clip(gain * error, -1.0, 1.0).astype(np.float32)
|