A new achievement by researchers at the College of Engineering of the University of Tehran in developing the next generation of intelligent and autonomous systems
Researchers at the College of Engineering of the University of Tehran have introduced a new distributed method in the field of multi-agent reinforcement learning, enabling independent training and decision-making of intelligent agents in complex problems with shared interference constraints. This achievement could pave the way for the development of multi-agent intelligent systems in areas such as robotics, smart energy networks, transportation, and computational economics.
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