5 citations · 14 across the 6 of their papers we have counts for
6 papers
Interpretable Reinforcement Learning Inspired by Piaget's Theory of Cognitive Development
Aref Hakimzadeh, Yanbo Xue, Peyman Setoodeh
Endeavors for designing robots with human-level cognitive abilities have led to different categories of learning machines. According to Skinner's theory, reinforcement learning (RL…
Urban Change Detection by Fully Convolutional Siamese Concatenate Network with Attention
Farnoosh Heidary, Mehran Yazdi, Maryam Dehghani +1
Change detection (CD) is an important problem in remote sensing, especially in disaster time for urban management. Most existing traditional methods for change detection are catego…
Lyapunov-Based Stabilization and Control of Closed Quantum Systems
Elham Jamalinia, Peyman Azodi, Alireza Khayatian +1
A Lyapunov-based method is presented for stabilizing and controlling of closed quantum systems. The proposed method is constructed upon a novel quantum Lyapunov function of the sys…
Enacted Visual Perception: A Computational Model based on Piaget Equilibrium
Aref Hakimzadeh, Yanbo Xue, Peyman Setoodeh
In Maurice Merleau-Ponty's phenomenology of perception, analysis of perception accounts for an element of intentionality, and in effect therefore, perception and action cannot be v…
Deep Reinforcement Learning-Based Product Recommender for Online Advertising
Milad Vaali Esfahaani, Yanbo Xue, Peyman Setoodeh
In online advertising, recommender systems try to propose items from a list of products to potential customers according to their interests. Such systems have been increasingly dep…
Metalearning: Sparse Variable-Structure Automata
Pedram Fekri, Ali Akbar Safavi, Mehrdad Hosseini Zadeh +1
Dimension of the encoder output (i.e., the code layer) in an autoencoder is a key hyper-parameter for representing the input data in a proper space. This dimension must be carefull…