A reinforcement learning algorithm for adjusting antecedent parameters and weights of fuzzy rules in a fuzzy classifier. - Farinaz Alamiyan Harandi; Vali Derhami (J. Intell. Fuzzy Syst., 2016)

A new framework for mobile robot trajectory tracking using depth data and learning algorithms. - Farinaz Alamiyan Harandi; Vali Derhami; Fatemeh Jamshidi (J. Intell. Fuzzy Syst., 2018)

A new feature selection method based on task environments for controlling robots. - Farinaz Alamiyan Harandi; Vali Derhami; Fatemeh Jamshidi (Appl. Soft Comput., 2019)

Combination of Recurrent Neural Network and Deep Learning for Robot Navigation Task in Off-Road Environment. - Farinaz Alamiyan Harandi; Vali Derhami; Fatemeh Jamshidi (Robotica, 2020)

Double Q-PI architecture for smart model-free control of canals. - Kazem Shahverdi; Farinaz Alamiyan Harandi; José María Maestre 001 (Comput. Electron. Agric., 2022)

Inequity aversion reduces travel time in the traffic light control problem. - Mersad Hassanjani; Farinaz Alamiyan Harandi; Pouria Ramazi (CoRR, 2023)

Kindness in Multi-Agent Reinforcement Learning. - Farinaz Alamiyan Harandi; Mersad Hassanjani; Pouria Ramazi (CoRR, 2023)

Environmental-Impact Based Multi-Agent Reinforcement Learning. - Farinaz Alamiyan Harandi; Pouria Ramazi (CoRR, 2023)