Li Zhao

According to our database, Li Zhao authored at least 49 papers between 2014 and 2023.

Collaborative distances:

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

2023

Pre-Trained Large Language Models for Industrial Control.

Lei Song, Chuheng Zhang, Li Zhao, Jiang Bian

CoRR, 2023

A Versatile Multi-Agent Reinforcement Learning Benchmark for Inventory Management.

Xianliang Yang, Zhihao Liu, Wei Jiang, Chuheng Zhang, Li Zhao, Lei Song, Jiang Bian

CoRR, 2023

Asking Before Action: Gather Information in Embodied Decision Making with Language Models.

Xiaoyu Chen, Shenao Zhang, Pushi Zhang, Li Zhao, Jianyu Chen

CoRR, 2023

H-TSP: Hierarchically Solving the Large-Scale Travelling Salesman Problem.

Xuanhao Pan, Yan Jin, Yuandong Ding, Mingxiao Feng, Li Zhao, Lei Song, Jiang Bian

CoRR, 2023

Distributional Pareto-Optimal Multi-Objective Reinforcement Learning.

Xin-Qiang Cai, Pushi Zhang, Li Zhao, Jiang Bian, Masashi Sugiyama, Ashley Llorens

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning Multi-Agent Intention-Aware Communication for Optimal Multi-Order Execution in Finance.

Yuchen Fang, Zhenggang Tang, Kan Ren, Weiqing Liu, Li Zhao, Jiang Bian, Dongsheng Li, Weinan Zhang, Yong Yu, Tie-Yan Liu

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Towards Generalizable Reinforcement Learning for Trade Execution.

Chuheng Zhang, Yitong Duan, Xiaoyu Chen, Jianyu Chen, Jian Li, Li Zhao

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Robust Situational Reinforcement Learning in Face of Context Disturbances.

Jinpeng Zhang, Yufeng Zheng, Chuheng Zhang, Li Zhao, Lei Song, Yuan Zhou, Jiang Bian

Proceedings of the International Conference on Machine Learning, 2023

DRL4IR: 4th Workshop on Deep Reinforcement Learning for Information Retrieval.

Xin Xin, Xiangyu Zhao, Jin Huang, Weinan Zhang, Li Zhao, Dawei Yin, Grace Hui Yang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Curriculum Offline Reinforcement Learning.

Yuanying Cai, Chuheng Zhang, Hanye Zhao, Li Zhao, Jiang Bian

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

H-TSP: Hierarchically Solving the Large-Scale Traveling Salesman Problem.

Xuanhao Pan, Yan Jin, Yuandong Ding, Mingxiao Feng, Li Zhao, Lei Song, Jiang Bian

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Pointerformer: Deep Reinforced Multi-Pointer Transformer for the Traveling Salesman Problem.

Yan Jin, Yuandong Ding, Xuanhao Pan, Kun He, Li Zhao, Tao Qin, Lei Song, Jiang Bian

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Multi-Agent Reinforcement Learning with Shared Resources for Inventory Management.

Yuandong Ding, Mingxiao Feng, Guozi Liu, Wei Jiang, Chuheng Zhang, Li Zhao, Lei Song, Houqiang Li, Yan Jin, Jiang Bian

CoRR, 2022

DRL4IR: 3rd Workshop on Deep Reinforcement Learning for Information Retrieval.

Xiangyu Zhao, Xin Xin, Weinan Zhang, Li Zhao, Dawei Yin, Grace Hui Yang

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Tiered Reinforcement Learning: Pessimism in the Face of Uncertainty and Constant Regret.

Jiawei Huang, Li Zhao, Tao Qin, Wei Chen, Nan Jiang, Tie-Yan Liu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

An Adaptive Deep RL Method for Non-Stationary Environments with Piecewise Stable Context.

Xiaoyu Chen, Xiangming Zhu, Yufeng Zheng, Pushi Zhang, Li Zhao, Wenxue Cheng, Peng Cheng, Yongqiang Xiong, Tao Qin, Jianyu Chen, Tie-Yan Liu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Towards Deployment-Efficient Reinforcement Learning: Lower Bound and Optimality.

Jiawei Huang, Jinglin Chen, Li Zhao, Tao Qin, Nan Jiang, Tie-Yan Liu

Proceedings of the Tenth International Conference on Learning Representations, 2022

TD3 with Reverse KL Regularizer for Offline Reinforcement Learning from Mixed Datasets.

Yuanying Cai, Chuheng Zhang, Li Zhao, Wei Shen, Xuyun Zhang, Lei Song, Jiang Bian, Tao Qin, Tieyan Liu

Proceedings of the IEEE International Conference on Data Mining, 2022

Inspector: Pixel-Based Automated Game Testing via Exploration, Detection, and Investigation.

Guoqing Liu, Mengzhang Cai, Li Zhao, Tao Qin, Adrian Brown, Jimmy Bischoff, Tie-Yan Liu

Proceedings of the IEEE Conference on Games, CoG 2022, Beijing, 2022

2021

Demonstration actor critic.

Guoqing Liu, Li Zhao, Pushi Zhang, Jiang Bian, Tao Qin, Nenghai Yu, Tie-Yan Liu

Neurocomputing, 2021

Curriculum Offline Imitation Learning.

Minghuan Liu, Hanye Zhao, Zhengyu Yang, Jian Shen, Weinan Zhang, Li Zhao, Tie-Yan Liu

CoRR, 2021

DRL4IR: 2nd Workshop on Deep Reinforcement Learning for Information Retrieval.

Weinan Zhang, Xiangyu Zhao, Li Zhao, Dawei Yin, Grace Hui Yang

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Distributional Reinforcement Learning for Multi-Dimensional Reward Functions.

Pushi Zhang, Xiaoyu Chen, Li Zhao, Wei Xiong, Tao Qin, Tie-Yan Liu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Object-Aware Regularization for Addressing Causal Confusion in Imitation Learning.

Jongjin Park, Younggyo Seo, Chang Liu, Li Zhao, Tao Qin, Jinwoo Shin, Tie-Yan Liu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Curriculum Offline Imitating Learning.

Minghuan Liu, Hanye Zhao, Zhengyu Yang, Jian Shen, Weinan Zhang, Li Zhao, Tie-Yan Liu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Independence-aware Advantage Estimation.

Pushi Zhang, Li Zhao, Guoqing Liu, Jiang Bian, Minlie Huang, Tao Qin, Tie-Yan Liu

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Return-Based Contrastive Representation Learning for Reinforcement Learning.

Guoqing Liu, Chuheng Zhang, Li Zhao, Tao Qin, Jinhua Zhu, Jian Li, Nenghai Yu, Tie-Yan Liu

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Suphx: Mastering Mahjong with Deep Reinforcement Learning.

Junjie Li, Sotetsu Koyamada, Qiwei Ye, Guoqing Liu, Chao Wang, Ruihan Yang, Li Zhao, Tao Qin, Tie-Yan Liu, Hsiao-Wuen Hon

CoRR, 2020

Leveraging Demonstrations for Reinforcement Recommendation Reasoning over Knowledge Graphs.

Kangzhi Zhao, Xiting Wang, Yuren Zhang, Li Zhao, Zheng Liu, Chunxiao Xing, Xing Xie

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Deep Reinforcement Learning for Information Retrieval: Fundamentals and Advances.

Weinan Zhang, Xiangyu Zhao, Li Zhao, Dawei Yin, Grace Hui Yang, Alex Beutel

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

RD$^2$: Reward Decomposition with Representation Decomposition.

Zichuan Lin, Derek Yang, Li Zhao, Tao Qin, Guangwen Yang, Tie-Yan Liu

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Semi-Supervised Neural Machine Translation via Marginal Distribution Estimation.

Yijun Wang, Yingce Xia, Li Zhao, Jiang Bian, Tao Qin, Enhong Chen, Tie-Yan Liu

IEEE ACM Trans. Audio Speech Lang. Process., 2019

Fully Parameterized Quantile Function for Distributional Reinforcement Learning.

Derek Yang, Li Zhao, Zichuan Lin, Tao Qin, Jiang Bian, Tie-Yan Liu

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Distributional Reward Decomposition for Reinforcement Learning.

Zichuan Lin, Li Zhao, Derek Yang, Tao Qin, Tie-Yan Liu, Guangwen Yang

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Individualized Indicator for All: Stock-wise Technical Indicator Optimization with Stock Embedding.

Zhige Li, Derek Yang, Li Zhao, Jiang Bian, Tao Qin, Tie-Yan Liu

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Investment Behaviors Can Tell What Inside: Exploring Stock Intrinsic Properties for Stock Trend Prediction.

Chi Chen, Li Zhao, Jiang Bian, Chunxiao Xing, Tie-Yan Liu

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Unified Policy Optimization for Robust Reinforcement Learning.

Zichuan Lin, Li Zhao, Jiang Bian, Tao Qin, Guangwen Yang

Proceedings of The 11th Asian Conference on Machine Learning, 2019

Trust Region Evolution Strategies.

Guoqing Liu, Li Zhao, Feidiao Yang, Jiang Bian, Tao Qin, Nenghai Yu, Tie-Yan Liu

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Efficient Sequence Learning with Group Recurrent Networks.

Fei Gao, Lijun Wu, Li Zhao, Tao Qin, Xueqi Cheng, Tie-Yan Liu

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Adversarial Neural Machine Translation.

Lijun Wu, Yingce Xia, Fei Tian, Li Zhao, Tao Qin, Jianhuang Lai, Tie-Yan Liu

Proceedings of The 10th Asian Conference on Machine Learning, 2018

Learning Structured Representation for Text Classification via Reinforcement Learning.

Tianyang Zhang, Minlie Huang, Li Zhao

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Word Attention for Sequence to Sequence Text Understanding.

Lijun Wu, Fei Tian, Li Zhao, Jianhuang Lai, Tie-Yan Liu

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Dual Transfer Learning for Neural Machine Translation with Marginal Distribution Regularization.

Yijun Wang, Yingce Xia, Li Zhao, Jiang Bian, Tao Qin, Guiquan Liu, Tie-Yan Liu

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Reinforcement Learning for Relation Classification From Noisy Data.

Jun Feng, Minlie Huang, Li Zhao, Yang Yang, Xiaoyan Zhu

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Sequence Prediction with Unlabeled Data by Reward Function Learning.

Lijun Wu, Li Zhao, Tao Qin, Jianhuang Lai, Tie-Yan Liu

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016

Attention-based LSTM for Aspect-level Sentiment Classification.

Yequan Wang, Minlie Huang, Xiaoyan Zhu, Li Zhao

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Semi-Supervised Multinomial Naive Bayes for Text Classification by Leveraging Word-Level Statistical Constraint.

Li Zhao, Minlie Huang, Ziyu Yao, Rongwei Su, Yingying Jiang, Xiaoyan Zhu

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Sentiment Extraction by Leveraging Aspect-Opinion Association Structure.

Li Zhao, Minlie Huang, Jiashen Sun, Hengliang Luo, Xiankai Yang, Xiaoyan Zhu

Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

2014

Clustering Aspect-related Phrases by Leveraging Sentiment Distribution Consistency.

Li Zhao, Minlie Huang, Haiqiang Chen, Junjun Cheng, Xiaoyan Zhu

Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014