pytorch-REINFORCE

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can you give me the paper about the continuous situation?

1

thank you

lymzzu

The policy gradient here seems to be different from the policy gradient in most places, e.g., [Berkeley CS285](http://rail.eecs.berkeley.edu/deeprlcourse/static/slides/lec-5.pdf). Can the author provide where did you cite the original algorithm?

ZikangXiong

Please add some explanation

3

Hi, Thank you for the sample code. I could not understand what exactly is happening here: https://github.com/JamesChuanggg/pytorch-REINFORCE/blob/master/reinforce_discrete.py#L52 If possible can you please give a little explanation. Thanks

parajain

Hi. First af all - thanks for good clear code! My problem. I am trying to run this continuous-control algorithm "as is" for simplest gym's enviroments such as MountainCarContinuous-v0, Pendulum-v0...

Belerafon

bug

Ian-Sy-Zhang