Reinforcement-learning-with-tensorflow States in the Environment.

States in the Environment.

Open Kalpan13 opened this issue 6 years ago • 1 comments

Hi MorvanZhou, I have a question about the state size. I read the comments that you have added. However, I could not properly understand the state space size and how you created it. Can you please explain it in detail?

https://github.com/MorvanZhou/Reinforcement-learning-with-tensorflow/blob/97dba9bafce7fb5203d395ba77a770fad80931b3/experiments/Robot_arm/arm_env.py#L92

Jun 13 '19 06:06 Kalpan13

What you do is you call the state first, then you get the state, count the lenght of the state and then use that as your state dimension also known as s_dim

Jun 13 '19 16:06 ghost

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States in the Environment.

Reinforcement-learning-with-tensorflow
Reinforcement-learning-with-tensorflow copied to clipboard