(self, ft, D, hidden_layer_sizes_mean=[], hidden_layer_sizes_var=[])

(self, env, n_components=500)

(self, env, feature_transformer, learning_rate)

(self, D)

(self, env, feature_transformer)

(self, M1, M2, f=T.nnet.relu, use_bias=True, zeros=False)

(self, ft, D, hidden_layer_sizes_mean=[], hidden_layer_sizes_var=[])

(self, D)

(self, env)

(self, env, feature_transformer)

(self)

(self, env, feature_transformer)

(self, M1, M2, f=tf.nn.tanh, use_bias=True)

(self, D, K, hidden_layer_sizes, gamma, max_experiences=10000, min_experiences=100, batch_sz=32)

(self, D)

(self, M1, M2, f=T.tanh, use_bias=True)

(self, D, K, hidden_layer_sizes, gamma, max_experiences=10000, min_experiences=100, batch_sz=32)

(self, M1, M2, f=T.tanh, use_bias=True)

(self, D, K, hidden_layer_sizes)

(self, D, hidden_layer_sizes)

(self, D)

(self, M1, M2, f=tf.nn.tanh, use_bias=True)

(self, D, K, hidden_layer_sizes)

(self, D, hidden_layer_sizes)

(self, D)

(self, env, feature_transformer)

(self)

(self, m)

(self, width, height, start)

(self)

(self, eps=0.1, alpha=0.5)

(self)

(self)

(self, m)

(self, true_mean)

(self, m, upper_limit)

(self, D, M, an_id)

(self, m1, m2)

(self, hidden_layer_sizes)

(self, D, M, an_id)

(self, D, hidden_layer_sizes, K, UnsupervisedModel=AutoEncoder)

(self, M, an_id)

(self, D, M)

(self, hidden_layer_sizes)

(self, M, an_id)

(self, hidden_layer_sizes, UnsupervisedModel=AutoEncoder)

(self, hidden_layer_sizes, UnsupervisedModel=AutoEncoder)

(self, depth=0, max_depth=None)

(self, max_depth=None)

(self, k)

(self, images, labels, fake_data=False)

(self, M1, M2, f, an_id)

(self, hidden_layer_sizes)

(self, hidden_layer_sizes)

()

()

(j, xt)

(j, xt)

(W, bh, bo, an_id)

()

(a, b)

(a, b)

(a, b)

(a, b)

(a, b)

(a, b)

(a, b)

(self)

(init=big_init)

(filenames)

(filenames)

(self, X, Y)

(self, X, epochs=1, batch_sz=100, show_fig=False)

(self, X, learning_rate=0.1, epochs=1, batch_sz=100, show_fig=False)

(self, X, Y)

(self, X, num_neg_samples=10, learning_rate=1e-4, mu=0.99, reg=0.1, epochs=10)

(self, X)

(self, X)

(self, X)

(self, X)

(self, X)

(self, X, reuse, is_training)

(self, X, reuse, is_training)

(self, X, is_training)

(self, X, is_training)

(self, X)

(self, X)

(self, X)

(self, X)

(self, X)

()

()

()

(limit=None)

()

(layers)

(layers)

()

(x)

(x)