I am working on a code to implement a deep RL algorithm where the policy
function is the sampled values from a normal distribution. But when I
differentiate through the cost function(which of course depends upon the
the distribution) show the following error:
"theano.gradient.NullTypeGradError: tensor.grad encountered a NaN. This
variable is Null because the grad method for input 2
(Subtensor{int64:int64:}.0) of the RandomFunction{normal} op is
mathematically undefined. No gradient defined through raw random numbers op"
Is there anyway I can solve it?
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