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hub / github.com/Yonv1943/Python / run__tutorial_continuous_action

Function run__tutorial_continuous_action

Demo_deep_learning/Tutorial.py:327–502  ·  view source on GitHub ↗

It is a DDPG tutorial, we need about 300s for training. I hate OU Process because of its lots of hyper-parameters. So this DDPG has no OU Process. This simplify DDPG can't work well on harder task. Other RL algorithms can work well on harder task but complicated. You can change this

()

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Callers

nothing calls this directly

Calls 10

get_eva_reward__svMethod · 0.95
add_memoMethod · 0.95
init_before_sampleMethod · 0.95
random_sampleMethod · 0.95
EvaluateRewardSVClass · 0.85
ActorClass · 0.70
CriticClass · 0.70
BufferArrayClass · 0.70
resetMethod · 0.45
stepMethod · 0.45

Tested by

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