11 citations · 11 across the 4 of their papers we have counts for
4 papers
A Systematic Review and Taxonomy of Reinforcement Learning-Model Predictive Control Integration for Linear Systems
Mohsen Jalaeian Farimani, Roya Khalili Amirabadi, Davoud Nikkhouy +4
The integration of Model Predictive Control (MPC) and Reinforcement Learning (RL) has emerged as a promising paradigm for constrained decision-making and adaptive control. MPC offe…
A Dynamic-Growing Fuzzy-Neuro Controller, Application to a 3PSP Parallel Robot
Mohsen Jalaeian-Farimani, Mohammad-R Akbarzadeh-T, Alireza Akbarzadeh +1
To date, various paradigms of soft-Computing have been used to solve many modern problems. Among them, a self organizing combination of fuzzy systems and neural networks can make a…
Self-Organizing Dual-Buffer Adaptive Clustering Experience Replay (SODACER) for Safe Reinforcement Learning in Optimal Control
Roya Khalili Amirabadi, Mohsen Jalaeian Farimani, Omid Solaymani Fard
This paper proposes a novel reinforcement learning framework, named Self-Organizing Dual-buffer Adaptive Clustering Experience Replay (SODACER), designed to achieve safe and scalab…
Enhanced-FQL(), an Efficient and Interpretable RL with novel Fuzzy Eligibility Traces and Segmented Experience Replay
Mohsen Jalaeian-Farimani, Xiong Xiong, Luca Bascetta
This paper introduces a fuzzy reinforcement learning framework, Enhanced-FQL(), that integrates novel Fuzzified Eligibility Traces (FET) and Segmented Experience Replay (SER) i…