52 citations · 106 across the 9 of their papers we have counts for
10 papers
RIZE: Adaptive Regularization for Imitation Learning
Adib Karimi, Mohammad Mehdi Ebadzadeh
We propose a novel Inverse Reinforcement Learning (IRL) method that mitigates the rigidity of fixed reward structures and the limited flexibility of implicit reward regularization.…
Stock market forecasting using DRAGAN and feature matching
Fateme Shahabi Nejad, Mohammad Mehdi Ebadzadeh
Applying machine learning methods to forecast stock prices has been one of the research topics of interest in recent years. Almost few studies have been reported based on generativ…
Multi-step-ahead Stock Price Prediction Using Recurrent Fuzzy Neural Network and Variational Mode Decomposition
Hamid Nasiri, Mohammad Mehdi Ebadzadeh
Financial time series prediction, a growing research topic, has attracted considerable interest from scholars, and several approaches have been developed. Among them, decomposition…
EnTRPO: Trust Region Policy Optimization Method with Entropy Regularization
Sahar Roostaie, Mohammad Mehdi Ebadzadeh
Trust Region Policy Optimization (TRPO) is a popular and empirically successful policy search algorithm in reinforcement learning (RL). It iteratively solved the surrogate problem…
Modified Double DQN: addressing stability
Shervin Halat, Mohammad Mehdi Ebadzadeh, Kiana Amani
Inspired by Double Q-learning algorithm, the Double-DQN (DDQN) algorithm was originally proposed in order to address the overestimation issue in the original DQN algorithm. The DDQ…
Maximum Entropy Dueling Network Architecture in Atari Domain
Alireza Nadali, Mohammad Mehdi Ebadzadeh
In recent years, there have been many deep structures for Reinforcement Learning, mainly for value function estimation and representations. These methods achieved great success in…
Adaptive Explicit Kernel Minkowski Weighted K-means
Amir Aradnia, Maryam Amir Haeri, Mohammad Mehdi Ebadzadeh
The K-means algorithm is among the most commonly used data clustering methods. However, the regular K-means can only be applied in the input space and it is applicable when cluster…
Backpropagation-Free Learning Method for Correlated Fuzzy Neural Networks
Armin Salimi-Badr, Mohammad Mehdi Ebadzadeh
In this paper, a novel stepwise learning approach based on estimating desired premise parts' outputs by solving a constrained optimization problem is proposed. This learning approa…
A self-organizing fuzzy neural network for sequence learning
Armin Salimi-Badr, Mohammad Mehdi Ebadzadeh
In this paper, a new self-organizing fuzzy neural network model is presented which is able to learn and reproduce different sequences accurately. Sequence learning is important in…
A DDoS-Aware IDS Model Based on Danger Theory and Mobile Agents
Mahdi Zamani, Mahnush Movahedi, Mohammad Ebadzadeh +1
We propose an artificial immune model for intrusion detection in distributed systems based on a relatively recent theory in immunology called Danger theory. Based on Danger theory,…