2 citations · 3 across the 4 of their papers we have counts for
4 papers
Risk Sensitivity in Markov Games and Multi-Agent Reinforcement Learning: A Systematic Review
Hafez Ghaemi, Shirin Jamshidi, Mohammad Mashreghi +2
Markov games (MGs) and multi-agent reinforcement learning (MARL) are studied to model decision making in multi-agent systems. Traditionally, the objective in MG and MARL has been r…
Risk-Sensitive Multi-Agent Reinforcement Learning in Network Aggregative Markov Games
Hafez Ghaemi, Hamed Kebriaei, Alireza Ramezani Moghaddam +1
Classical multi-agent reinforcement learning (MARL) assumes risk neutrality and complete objectivity for agents. However, in settings where agents need to consider or model human e…
BioLCNet: Reward-modulated Locally Connected Spiking Neural Networks
Hafez Ghaemi, Erfan Mirzaei, Mahbod Nouri +1
Brain-inspired computation and information processing alongside compatibility with neuromorphic hardware have made spiking neural networks (SNN) a promising method for solving lear…
Towards Real-World BCI: CCSPNet, A Compact Subject-Independent Motor Imagery Framework
Mahbod Nouri, Faraz Moradi, Hafez Ghaemi +1
A conventional brain-computer interface (BCI) requires a complete data gathering, training, and calibration phase for each user before it can be used. In recent years, a number of…