Whenever I try to run the ddpg_pendulum example (or any other DDPG example), I always get the error
ValueError: Variable Tensor("Mean_1:0", shape=(), dtype=float32) has None for gradient. Please make sure that all of your ops have a gradient defined (i.e. are differentiable). Common ops without gradient: K.argmax, K.round, K.eval.
Each time the training completes an interval, this problem occurs. Is there any way to get over it?
My Tensorflow and Keras versions are 2.1.0 and 2.3.1 respectively.
Whenever I try to run the ddpg_pendulum example (or any other DDPG example), I always get the error
Each time the training completes an interval, this problem occurs. Is there any way to get over it?
My Tensorflow and Keras versions are 2.1.0 and 2.3.1 respectively.