Paul Covington

According to our database, Paul Covington authored at least 6 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

EMMA: End-to-End Multimodal Model for Autonomous Driving.

Jyh-Jing Hwang, Runsheng Xu, Hubert Lin, Wei-Chih Hung, Jingwei Ji, Kristy Choi, Di Huang, Tong He, Paul Covington, Benjamin Sapp, James Guo, Dragomir Anguelov, Mingxing Tan

CoRR, 2024

2022

KEMP: Keyframe-Based Hierarchical End-to-End Deep Model for Long- Term Trajectory Prediction.

Qiujing Lu, Weiqiao Han, Jeffrey Ling, Minfa Wang, Haoyu Chen, Balakrishnan Varadarajan, Paul Covington

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2019

Reinforcement Learning for Slate-based Recommender Systems: A Tractable Decomposition and Practical Methodology.

Eugene Ie, Vihan Jain, Jing Wang, Sanmit Narvekar, Ritesh Agarwal, Rui Wu, Heng-Tze Cheng, Morgane Lustman, Vince Gatto, Paul Covington, Jim McFadden, Tushar Chandra, Craig Boutilier

CoRR, 2019

Top-K Off-Policy Correction for a REINFORCE Recommender System.

Minmin Chen, Alex Beutel, Paul Covington, Sagar Jain, Francois Belletti, Ed H. Chi

Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

2018

Latent Cross: Making Use of Context in Recurrent Recommender Systems.

Alex Beutel, Paul Covington, Sagar Jain, Can Xu, Jia Li, Vince Gatto, Ed H. Chi

Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

2016

Deep Neural Networks for YouTube Recommendations.

Paul Covington, Jay Adams, Emre Sargin

Proceedings of the 10th ACM Conference on Recommender Systems, 2016