Majid Nili Ahmadabadi

University of Qom — IR

Computer Science · Physical Sciences

30h-index3.4kcitations297works0.12yr avg
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Research Topics

Reinforcement Learning in Robotics(49), Robotic Locomotion and Control(49), Prosthetics and Rehabilitation Robotics(43), Robot Manipulation and Learning(40), Robotic Path Planning Algorithms(34)

Publications294 total

A Psychophysical Dataset for Vibrotactile Augmented Perception
Scientific Data·2026Open Access
Izvan osobnih čimbenika
Sigurnost·2026Open Access
Better than Maximum Likelihood Estimation of Model-based and Model-free Learning Styles
Basic and Clinical Neuroscience Journal·2025Open Access
Unveiling Task Difficulty in a Visual Pattern Memory Task: A Comprehensive Analysis of Factors Influencing Performance
Cognitive Computation·2025· 1 cited
A Dual-Axis Taxonomy of Knowledge Editing for LLMs: From Mechanisms to Functions
arXiv (Cornell University)·2025Open Access
Deformed Probability Estimation in Goal-Directed reinforcement learning model explains anxious-depression dimensions of psychiatric disorders
2025Open Access
DEEPQUESTION: Systematic Generation of Real-World Challenges for Evaluating LLMs Performance
arXiv (Cornell University)·2025Open Access
Three Benefits of Using Nonlinear Compliance in Robotic Systems Performing Cyclic Tasks: Energy Efficiency, Control Robustness, and Gait Optimality
International journal of mechanical system dynamics·2025Open Access
Decision-Making in Sharing Personal Information of Others: An Empirical Investigation
2025Open Access
Izvan osobnih čimbenika: procjena profesionalnih opasnosti kao prediktora mentalnih poremećaja kod industrijskih radnika
University of Zagreb University Computing Centre (SRCE)·2025Open Access
Subgoal Discovery Using a Free Energy Paradigm and State Aggregations
arXiv (Cornell University)·2024Open Access
Optimizing Alignment with Less: Leveraging Data Augmentation for Personalized Evaluation
arXiv (Cornell University)·2024Open Access
A Survey On Enhancing Reinforcement Learning in Complex Environments: Insights from Human and LLM Feedback
arXiv (Cornell University)·2024Open Access
AI-powered Digital Framework for Personalized Economical Quality Learning at Scale
arXiv (Cornell University)·2024Open Access
CoCoP: Enhancing Text Classification with LLM through Code Completion Prompt
arXiv (Cornell University)·2024Open Access
Learning from different perspectives for regret reduction in reinforcement learning: A free energy approach
Neurocomputing·2024
Risk Sensitivity in Markov Games and Multi-Agent Reinforcement Learning: A Systematic Review
arXiv (Cornell University)·2024Open Access
Exploiting Expertise of Non-Expert and Diverse Agents in Social Bandit Learning: A Free Energy Approach
2024Open Access
An Online Calibration Method Using Hadamard–Fourier Clustering and Neural Network for Large-Scale Phased Arrays
IEEE Transactions on Instrumentation and Measurement·2024· 1 cited
The effects of directed and free self-monitoring on goal-directed and habitual decision-making
2023Open Access
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Frequent Co-authors

Babak Nadjar Araabi(16), Mahdi Khoramshahi(5), Rezvan Nasiri(4), Auke Jan Ijspeert(4), Mojtaba Rostami Kandroodi(4), Mohammad Javad Yazdanpanah(4), André Seyfarth(4), Maisam Mansoob Bassiri(3), Abdol‐Hossein Vahabie(3), Maziar A. Sharbafi(3), Hamed Jalaly Bidgoly(3), Alì Sadeghi(3), Ali Mahmoodi(2), Dan Bang(2), Bahador Bahrami(2), Ahad Harati(2), Christophe Maufroy(2), Mehrtash Harandi(2), Ehsan Noohi(2), S. Sara Mahdavi(2)