Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators discuss new findings in Transportat ion - Intelligent Transport Systems. According to news reporting out of Shanghai, People’s Republic of China, by NewsRx editors, research stated, “To improve the application range of decision-making systems for connected automated vehicles, this paper proposes a cooperative decision-making approach for multiple driving scenarios based on the combination of multi-agent reinforcement learning with c entralized planning. Specifically, the authors derived driving tasks from drivingscenarios and computed the policy functions for different driving scenarios as linear combinations of policy functions for a set of specific driving tasks.”
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