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Engineering 논문 리뷰
Engineering 분야 주요 연구 논문을 연구 동기·방법·결과로 구조화한 AI 논문 리뷰 목록입니다.
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필터
9999+개의 결과
Decision-making at Unsignalized Intersection for Autonomous Vehicles: Left-turn Maneuver with Deep Reinforcement Learning
Wang, Feng, Shi, Dongjie 외 2명
arXiv (Cornell University)
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2020
|
15 회 인용
Deep Directly-Trained Spiking Neural Networks for Object Detection
Qiaoyi Su, Yuhong Chou 외 5명
arXiv (Cornell University)
|
2023
|
15 회 인용
Deep Functional Dictionaries: Learning Consistent Semantic Structures on 3D Models from Functions
Minhyuk Sung, Hao Su 외 2명
arXiv (Cornell University)
|
2018
|
15 회 인용
Deep Multi-View Spatiotemporal Virtual Graph Neural Network for Significant Citywide Ride-hailing Demand Prediction
Guangyin Jin, Zhexu Xi 외 3명
arXiv (Cornell University)
|
2020
|
15 회 인용
Deep Reinforcement Learning for Contact-Rich Skills Using Compliant Movement Primitives
Oren Spector, Miriam Zacksenhouse
arXiv (Cornell University)
|
2020
|
15 회 인용
Deep Reinforcement Learning for Wireless Scheduling in Distributed Networked Control
Pang, Gaoyang, Kang Huang 외 4명
arXiv (Cornell University)
|
2021
|
15 회 인용
Deep Reinforcement Learning: Framework, Applications, and Embedded Implementations
Hongjia Li, Tianshu Wei 외 3명
arXiv (Cornell University)
|
2017
|
15 회 인용
Deep-Reinforcement Learning Multiple Access for Heterogeneous Wireless Networks
Yiding Yu, Taotao Wang 외 1명
arXiv (Cornell University)
|
2017
|
15 회 인용
Deep Reinforcement Learning with Spiking Q-learning
Ding Chen, Peixi Peng 외 2명
arXiv (Cornell University)
|
2022
|
15 회 인용
Deep Tracking on the Move: Learning to Track the World from a Moving Vehicle using Recurrent Neural Networks
Julie Dequaire, Dushyant Rao 외 3명
arXiv (Cornell University)
|
2016
|
15 회 인용
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