2024届湖南省高三名校联考模拟卷(三)3答案(英语)

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2、2023-2024湖南高三四月联考
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8、2023-2024湖南省高三联考试题
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However,RL algorithms do not always work due tothe dynamic nature of traffic environments,i.e.29.What prevents RL algorithms from workingtraffic at a crossroads depends on traffic conditionswell?阅读at other nearby junctions.Recently,a team of researchers from Chung Ang阅读A.The unscientific design of different crossroads.B.The lack of information about nearbyUniversity in Korea led by Prof.Keemin Sohnjunctions.The inability to adapt to dynamic traffic解proposed a meta-RL model to solve this issue.Specifically,the team developed an extended deep解conditions.Q-network (EDQN)-incorporated context-basedD.The dependency on human controllers formeta-RL model for traffic signal control.operation.The model determines the traffic as eithersaturated(饱和的)or unsaturated by utilizing apotential variable that indicates the overall30.What is mainly discussed in paragraph 4?environmental condition.Based on the currentHow the meta-RL model works.阅traffic flow,the model either maximizesthroughput or minimizes delays like a human阅B.What role EDQN plays in the model.C.How researchers train the meta-RL algorithm.controller.It performs this by carrying out trafficD.Why the new model outweighs human理signal cycles.The action is controlled by acontrollers.“reward”.Here,the reward function(函数)is set理31.What do the results of the experiments showto be+1 or-1 corresponding to a better or worseabout the meta-RL model?performance in handling traffic relative to theA.It is just theoretically possible.previous traffic light interval respectively.It works effectively in the test.Further,the EDON acts as a decoder to jointlyC.It falls far short of researchers'expectations.control traffic signals for multiple crossroads.D.It relies on clear traffic information to function.Following its theoretical development,theDresearchers trained and tested their meta-RLWhether dogs truly understand the words we阅say--as opposed to things like tone and contextalgorithm in real-world traffic conditions.Aclues-is still a mystery to dog owners,and so fartransportation network in southwest Seoulscience hasn't been able to deliver clear answers.consisting of 15 intersections was chosen as a real-world testbed.After training,the RL model could理However,a new brain wave study published in解adapt to new tasks without adjusting its data.TheCurrent Biology suggests that hearing the names oftheir favourite toys can activate dogs'memories ofexperiments revealed that the proposed modelthose objects.could switch control tasks without any clear trafficinformationIn the new paper,Lilla Magyari and colleagues,of the Eotvos Lorand University in Hungary,applied a technique to 18 dogsThe test involved taping electrodes (to theIt could also differentiate between rewardsdogs'heads to monitor their brain activity.Thenaccording to the saturation levels of traffic阅conditions.Further,the EDON-based meta-RL阅their owners said words for toys they were mostfamiliar with and then showed them either themodel outperformed the existing algorithms for理traffic signal control and could be applied tomatching object or a mismatched object.Afterdifferent tasks.理analyzing the EEG recordings,the team found解different brain patterns when dogs were shownmatching versus mismatched objects.Thisexperimental setup has been used for decades inhumans,and is accepted as evidence of "semanticprocessing(语义处理)”，or understanding ofmeaning.Holly Root-Gutteridge,a dog behaviour scientist at28.What does Prof.Keemin Sohn attempt to do inthe University of Lincoln,said the ability to fetch阅their study?阅specific toys by name had previously been regarded asA.Ensure the safety of autonomous car drivers.a genius quality."But the new study shows that aB.Develop a new public transportation network.whole range of dogs are learning the names of the理解C.Record the exact flow of vehicles on the road.objects in terms of brain response even if they don'tMaintain a smooth traffic flow in crowdeddemonstrate it behaviorally,"said Root-Gutteridge,areas.解adding it was another knock for humanity's specialand distinct qualities.Clive Wynne,a canine behaviourist at ArizonaState University,said he was at odds with otherexperts on the findings.6