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Guo, Xiaoxiao
15 publications
AAAI
2021
Augmenting Policy Learning with Routines Discovered from a Single Demonstration
Zelin Zhao
,
Chuang Gan
,
Jiajun Wu
,
Xiaoxiao Guo
,
Joshua B. Tenenbaum
CVPR
2021
Fashion IQ: A New Dataset Towards Retrieving Images by Natural Language Feedback
Hui Wu
,
Yupeng Gao
,
Xiaoxiao Guo
,
Ziad Al-Halah
,
Steven Rennie
,
Kristen Grauman
,
Rogerio Feris
NeurIPS
2019
Drill-Down: Interactive Retrieval of Complex Scenes Using Natural Language Queries
Fuwen Tan
,
Paola Cascante-Bonilla
,
Xiaoxiao Guo
,
Hui Wu
,
Song Feng
,
Vicente Ordonez
AAAI
2019
Hybrid Reinforcement Learning with Expert State Sequences
Xiaoxiao Guo
,
Shiyu Chang
,
Mo Yu
,
Gerald Tesauro
,
Murray Campbell
NeurIPS
2018
Dialog-Based Interactive Image Retrieval
Xiaoxiao Guo
,
Hui Wu
,
Yu Cheng
,
Steven Rennie
,
Gerald Tesauro
,
Rogerio Feris
ICLR
2018
Eigenoption Discovery Through the Deep Successor Representation
Marlos C. Machado
,
Clemens Rosenbaum
,
Xiaoxiao Guo
,
Miao Liu
,
Gerald Tesauro
,
Murray Campbell
ICLR
2018
Evidence Aggregation for Answer Re-Ranking in Open-Domain Question Answering
Shuohang Wang
,
Mo Yu
,
Jing Jiang
,
Wei Zhang
,
Xiaoxiao Guo
,
Shiyu Chang
,
Zhiguo Wang
,
Tim Klinger
,
Gerald Tesauro
,
Murray Campbell
AAAI
2018
R3: Reinforced Ranker-Reader for Open-Domain Question Answering
Shuohang Wang
,
Mo Yu
,
Xiaoxiao Guo
,
Zhiguo Wang
,
Tim Klinger
,
Wei Zhang
,
Shiyu Chang
,
Gerry Tesauro
,
Bowen Zhou
,
Jing Jiang
IJCAI
2018
Scheduled Policy Optimization for Natural Language Communication with Intelligent Agents
Wenhan Xiong
,
Xiaoxiao Guo
,
Mo Yu
,
Shiyu Chang
,
Bowen Zhou
,
William Yang Wang
NeurIPS
2017
Dilated Recurrent Neural Networks
Shiyu Chang
,
Yang Zhang
,
Wei Han
,
Mo Yu
,
Xiaoxiao Guo
,
Wei Tan
,
Xiaodong Cui
,
Michael Witbrock
,
Mark A Hasegawa-Johnson
,
Thomas S. Huang
ICLR
2017
Learning to Query, Reason, and Answer Questions on Ambiguous Texts
Xiaoxiao Guo
,
Tim Klinger
,
Clemens Rosenbaum
,
Joseph P. Bigus
,
Murray Campbell
,
Ban Kawas
,
Kartik Talamadupula
,
Gerry Tesauro
,
Satinder Singh
IJCAI
2016
Deep Learning for Reward Design to Improve Monte Carlo Tree Search in ATARI Games
Xiaoxiao Guo
,
Satinder Singh
,
Richard L. Lewis
,
Honglak Lee
NeurIPS
2015
Action-Conditional Video Prediction Using Deep Networks in Atari Games
Junhyuk Oh
,
Xiaoxiao Guo
,
Honglak Lee
,
Richard L. Lewis
,
Satinder Singh
NeurIPS
2014
Deep Learning for Real-Time Atari Game Play Using Offline Monte-Carlo Tree Search Planning
Xiaoxiao Guo
,
Satinder Singh
,
Honglak Lee
,
Richard L. Lewis
,
Xiaoshi Wang
NeurIPS
2013
Reward Mapping for Transfer in Long-Lived Agents
Xiaoxiao Guo
,
Satinder Singh
,
Richard L. Lewis