参考文献 [1] Richard S Sutton, Doina Precup, and Satinder Singh. Between mdps and semi-mdps: A framework for temporal abstraction in reinforcement learning. Artificial intelligence, 112(1-2):181–211, 1999.
Artificial Intelligence (AI) state of play in insurance regulation Developments as of March 2023 The NAIC The National Association of Insurance Commissioners (NAIC) first planted a flag in the ground more than two-and-a-half years ago with its broad, inaugural "Princi...
The COVID-19 pandemic has significantly shifted how people learn, with virtual learning becoming the norm. Students no longer need to be physically present in a specific location to gain knowledge. This paradigm shift has led to new challenges, particularly regarding instructor feedback during e-le...
Bills would regulate high-risk artificial intelligence use in Virginia Updated: Jan. 14, 2025 at 3:01 AM GMT+8| By Nathaniel Cline Emerging technologies, especially artificial intelligence, have generated public safety and privacy concerns that Virginia lawmakers could address within the coming weeks...
The rapidly growing research landscape in finance, encompassing environmental, social, and governance (ESG) topics and associated Artificial Intelligence (
State space search in artificial intelligence is a powerful technique as it guides machines through complex problems by systematically exploring all possible solutions.
China and the United States should be partners rather than rivals; help each other succeed rather than hurt each other; seek common ground and reserve differences rather than engage in vicious competition; and honor words with actions rather than say one thing but do another. ...
题目 Superhuman artificial intelligence is already among us.Well,sort of.When it comes to playing games like chess and Go,or solving difficult scientific challenges like predicting protein structures,computers are well ahead of us.But we have one superpower they aren't close to mast...
Q-learning can be used to learn a control policy that maximises a scalar reward through interaction with the environment. Q-learning is commonly applied to problems with discrete states and actions. We describe a method suitable for control tasks which r
State of the art and prospects for artificial intelligence in orthognathic surgery: A systematic review with meta-analysis To present a systematic review of the state of the art regarding clinical applications, main features, and outcomes of artificial intelligence (AI) in orth... WM Takeshita,TP...