Hello, I meet some problem, when my action dimension equal to one, the result is good, but when my action dimension is two (the activation function is tanh and sigmoid), the output of actor will saturate.
Here is the result what I said: https://github.com/m5823779/DDPG
By the way, I use batch normalization only in my actor network.
Have anyone meet the same problem and already solve?
Hello, I meet some problem, when my action dimension equal to one, the result is good, but when my action dimension is two (the activation function is tanh and sigmoid), the output of actor will saturate.
Here is the result what I said: https://github.com/m5823779/DDPG
By the way, I use batch normalization only in my actor network.
Have anyone meet the same problem and already solve?