no code implementations • 15 Apr 2024 • Xinwei Chen, Kun Li, Tianyou Song, Jiangjian Guo
StackOverflow, with its vast question repository and limited labeled examples, raise an annotation challenge for us.
no code implementations • 29 Mar 2021 • Sharada Mohanty, Jyotish Poonganam, Adrien Gaidon, Andrey Kolobov, Blake Wulfe, Dipam Chakraborty, Gražvydas Šemetulskis, João Schapke, Jonas Kubilius, Jurgis Pašukonis, Linas Klimas, Matthew Hausknecht, Patrick MacAlpine, Quang Nhat Tran, Thomas Tumiel, Xiaocheng Tang, Xinwei Chen, Christopher Hesse, Jacob Hilton, William Hebgen Guss, Sahika Genc, John Schulman, Karl Cobbe
We present the design of a centralized benchmark for Reinforcement Learning which can help measure Sample Efficiency and Generalization in Reinforcement Learning by doing end to end evaluation of the training and rollout phases of thousands of user submitted code bases in a scalable way.
no code implementations • 19 Jul 2020 • Xinwei Chen, Tong Wang, Barrett W. Thomas, Marlin W. Ulmer
The demand for same-day delivery (SDD) has increased rapidly in the last few years and has particularly boomed during the COVID-19 pandemic.
no code implementations • 1 Mar 2020 • Xinwei Chen, Ali Taleb Zadeh Kasgari, Walid Saad
In this paper, the problem of head movement prediction for virtual reality videos is studied.
no code implementations • 25 Oct 2019 • Xinwei Chen, Marlin W. Ulmer, Barrett W. Thomas
In a systematic computational analysis, we show the superiority of our policy compared to benchmark policies and the effectiveness of our deep Q-learning approach.