Multi-Agent Reinforcement Learning (MARL) is an emerging subfield of artificial intelligence that investigates how multiple autonomous agents can learn collaboratively and competitively within an ...
The authors recommend that future development of MAS prioritize dynamic organizational structures capable of adapting as ...
Indian researchers have developed a model that aims to address a potential problem that will arise in future, when there are ...
At a time when conflict and division dominate the headlines, a new study from UCLA finds remarkable similarities in how mice ...
Today, the question isn't whether to adopt autonomous intelligence but how quickly organizations can transform to harness its ...
The Journal of the Operational Research Society, Vol. 62, No. 2, Special Issue: Heuristic Optimisation (February 2011), pp. 281-290 (10 pages) Intelligent optimization refers to the promising ...
The biggest challenge to AI initiatives is the data they rely on. More powerful computing and higher-capacity storage at lower cost has created a flood of information, and not all of it is clean. It ...
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