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Firstly, while AI may create new jobs in areas like data science and machine learning engineering, it will also displace many existing jobs that are routine, repetitive, or can be automated. According to a report by the McKinsey Global Institute, up to 800 million jobs could be lost worldwid...
Firstly, while AI may create new jobs in areas like data science and machine learning engineering, it will also displace many existing jobs that are routine, repetitive, or can be automated. According to a report by the McKinsey Global Institute, up to 800 million jobs could be lost worldwid...
More recently, machine learning has been contributing to this endeavour with promising results. However, all efforts have focused on supervised learning, which is difficult to generalize beyond training data. Here we introduce multi-agent reinforcement learning as an automated discovery tool of ...
Firstly, while AI may create new jobs in areas like data science and machine learning engineering, it will also displace many existing jobs that are routine, repetitive, or can be automated. According to a report by the McKinsey Global Institute, up to 800 million jobs could be lost worldwid...
automated-language-learning automated-machine-learning automated-process automated-programming automated-project-management automated-refactoring automated-requirements automated-research automated-risk-management automated-test-generator automated-time-series-project automatic-template-extraction ...
We have introduced a potent method for the automated discovery of closures in simulations of wall-bounded turbulent flows that uses limited data by fusing scientific computing and multi-agent reinforcement learning (SciMARL). In this method, we solve the filtered Navier–Stokes equations using LES ...
Research on electronic commerce automated negotiation in multi-agent system based on reinforcement learning In order to improve the efficiency and intelligence of negotiation, the paper applies the technology about agent and the mechanism of reinforcement learnin... JG Cao - International Conference on ...
Longitudinal Position Control for Highway On-Ramp Merging: A Multi-Agent Approach to Automated Driving High-speed highway on-ramp merging is one of the most difficult and critical tasks for any autonomous driving system. This work studies this problem by com... L Schester,LE Ortiz - Internati...
The automotive industry is moving toward the automated mobility. To achieve the goal of making mobility safer and having an optimized system for moving people in the world, a visionary technology is needed. The approach followed in this chapter is based on MAS applied to the automotive scenarios...