1 code implementation • ACL 2022 • Dongwon Ryu, Ehsan Shareghi, Meng Fang, Yunqiu Xu, Shirui Pan, Reza Haf
Text-based games (TGs) are exciting testbeds for developing deep reinforcement learning techniques due to their partially observed environments and large action spaces.
1 code implementation • ACL 2022 • Yunqiu Xu, Meng Fang, Ling Chen, Yali Du, Joey Tianyi Zhou, Chengqi Zhang
Text-based games provide an interactive way to study natural language processing.
1 code implementation • CVPR 2022 • Yunqiu Xu, Yifan Sun, Zongxin Yang, Jiaxu Miao, Yi Yang
How to align the source and target domains is critical to the CDWSOD accuracy.
Ranked #1 on Weakly Supervised Object Detection on Clipart1k
no code implementations • 29 Sep 2021 • Meng Fang, Yunqiu Xu, Yali Du, Ling Chen, Chengqi Zhang
In a variety of text-based games, we show that this simple method results in competitive performance for agents.
1 code implementation • Findings (EMNLP) 2021 • Yunqiu Xu, Meng Fang, Ling Chen, Yali Du, Chengqi Zhang
Deep reinforcement learning provides a promising approach for text-based games in studying natural language communication between humans and artificial agents.
Hierarchical Reinforcement Learning reinforcement-learning +2
1 code implementation • NeurIPS 2020 • Yunqiu Xu, Meng Fang, Ling Chen, Yali Du, Joey Tianyi Zhou, Chengqi Zhang
We study reinforcement learning (RL) for text-based games, which are interactive simulations in the context of natural language.
2 code implementations • 22 Oct 2019 • Peike Li, Yunqiu Xu, Yunchao Wei, Yi Yang
To tackle the problem of learning with label noises, this work introduces a purification strategy, called Self-Correction for Human Parsing (SCHP), to progressively promote the reliability of the supervised labels as well as the learned models.
Ranked #2 on Human Part Segmentation on PASCAL-Part