Search Results for author: Yunqiu Xu

Found 7 papers, 6 papers with code

Fire Burns, Sword Cuts: Commonsense Inductive Bias for Exploration in Text-based Games

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.

Efficient Exploration Inductive Bias +2

Goal Randomization for Playing Text-based Games without a Reward Function

no code implementations29 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.

Decision Making text-based games

Generalization in Text-based Games via Hierarchical Reinforcement Learning

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

Self-Correction for Human Parsing

2 code implementations22 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.

Human Parsing Human Part Segmentation +1

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