A Policy-Gradient algorithm that solves Contextual Bandit problems.

ContextualPolicy.ipynb

Instead of using slim, can use tf as:
state_in_OH = tf.one_hot(self.state_in, s_size)
output = tf.layers.dense(state_in_OH, a_size, tf.nn.sigmoid, use_bias=False, kernel_initializer = tf.ones_initializer())

Thanks Arthur! this is helpful tutorial for beginers like me. Here is tensorflow 2 implementation may be helpful for someone

Thanks Arthur! this is helpful tutorial for beginers like me. Here is tensorflow 2 implementation may be helpful for someone

Thanks for the implementation. I wonder how is the implementation a policy network? I don't see policy gradient is used.