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File tutorial_SAC.py

examples/reinforcement_learning/tutorial_SAC.py:None–None  ·  view source on GitHub ↗

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1"""
2Soft Actor-Critic (SAC)
3------------------
4Actor policy in SAC is stochastic, with off-policy training.

Callers

nothing calls this directly

Calls 10

SACClass · 0.85
ReplayBufferClass · 0.70
resetMethod · 0.45
get_actionMethod · 0.45
sample_actionMethod · 0.45
stepMethod · 0.45
pushMethod · 0.45
updateMethod · 0.45
saveMethod · 0.45
load_weightsMethod · 0.45

Tested by

no test coverage detected