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2020 – today
- 2024
[c20]Yunseon Choi, Sangmin Bae, Seonghyun Ban, Minchan Jeong, Chuheng Zhang, Lei Song, Li Zhao, Jiang Bian, Kee-Eung Kim:
Hard Prompts Made Interpretable: Sparse Entropy Regularization for Prompt Tuning with RL. ACL (1) 2024: 8252-8271- [c19]Chuheng Zhang, Xiangsen Wang, Wei Jiang, Xianliang Yang, Siwei Wang, Lei Song, Jiang Bian:
Whittle Index with Multiple Actions and State Constraint for Inventory Management. ICLR 2024 - [c18]Yunseon Choi, Li Zhao, Chuheng Zhang, Lei Song, Jiang Bian, Kee-Eung Kim:
Diversification of Adaptive Policy for Effective Offline Reinforcement Learning. IJCAI 2024: 3863-3871 - [i21]Yiwen Chen, Yuyao Ye, Ziyi Chen, Chuheng Zhang, Marcelo H. Ang:
ARO: Large Language Model Supervised Robotics Text2Skill Autonomous Learning. CoRR abs/2403.15834 (2024) - [i20]Guangran Cheng, Chuheng Zhang, Wenzhe Cai, Li Zhao, Changyin Sun, Jiang Bian:
Empowering Large Language Models on Robotic Manipulation with Affordance Prompting. CoRR abs/2404.11027 (2024) - [i19]Yunseon Choi, Sangmin Bae, Seonghyun Ban, Minchan Jeong, Chuheng Zhang, Lei Song, Li Zhao, Jiang Bian, Kee-Eung Kim:
Hard Prompts Made Interpretable: Sparse Entropy Regularization for Prompt Tuning with RL. CoRR abs/2407.14733 (2024) - [i18]Wei Shen, Chuheng Zhang:
Policy Filtration in RLHF to Fine-Tune LLM for Code Generation. CoRR abs/2409.06957 (2024) - 2023
- [c17]Yuanying Cai, Chuheng Zhang, Wei Shen, Xuyun Zhang
, Wenjie Ruan, Longbo Huang:
RePreM: Representation Pre-training with Masked Model for Reinforcement Learning. AAAI 2023: 6879-6887 - [c16]Yuanying Cai, Chuheng Zhang, Hanye Zhao, Li Zhao, Jiang Bian:
Curriculum Offline Reinforcement Learning. AAMAS 2023: 1221-1229 - [c15]Jinpeng Zhang, Yufeng Zheng, Chuheng Zhang, Li Zhao, Lei Song, Yuan Zhou, Jiang Bian:
Robust Situational Reinforcement Learning in Face of Context Disturbances. ICML 2023: 41973-41989 - [c14]Chuheng Zhang, Yitong Duan, Xiaoyu Chen, Jianyu Chen, Jian Li, Li Zhao:
Towards Generalizable Reinforcement Learning for Trade Execution. IJCAI 2023: 4975-4983 - [i17]Yuanying Cai, Chuheng Zhang, Wei Shen, Xuyun Zhang, Wenjie Ruan, Longbo Huang:
RePreM: Representation Pre-training with Masked Model for Reinforcement Learning. CoRR abs/2303.01668 (2023) - [i16]Xianliang Yang, Zhihao Liu, Wei Jiang, Chuheng Zhang, Li Zhao, Lei Song, Jiang Bian:
A Versatile Multi-Agent Reinforcement Learning Benchmark for Inventory Management. CoRR abs/2306.07542 (2023) - [i15]Chuheng Zhang, Yitong Duan, Xiaoyu Chen, Jianyu Chen, Jian Li, Li Zhao:
Towards Generalizable Reinforcement Learning for Trade Execution. CoRR abs/2307.11685 (2023) - [i14]Lei Song, Chuheng Zhang, Li Zhao, Jiang Bian:
Pre-Trained Large Language Models for Industrial Control. CoRR abs/2308.03028 (2023) - 2022
- [c13]Yuanying Cai, Chuheng Zhang, Wei Shen, Xiaonan He, Xuyun Zhang, Longbo Huang:
Imitation Learning to Outperform Demonstrators by Directly Extrapolating Demonstrations. CIKM 2022: 128-137 - [c12]Wei Shen, Xiaonan He, Chuheng Zhang, Xuyun Zhang, Jian Xie:
A Transformer-Based User Satisfaction Prediction for Proactive Interaction Mechanism in DuerOS. CIKM 2022: 1777-1786 - [c11]Ze Wang, Guogang Liao, Xiaowen Shi, Xiaoxu Wu, Chuheng Zhang, Yongkang Wang, Xingxing Wang, Dong Wang:
Learning List-wise Representation in Reinforcement Learning for Ads Allocation with Multiple Auxiliary Tasks. CIKM 2022: 3555-3564 - [c10]Ze Wang, Guogang Liao, Xiaowen Shi, Xiaoxu Wu, Chuheng Zhang, Bingqi Zhu, Yongkang Wang, Xingxing Wang, Dong Wang:
Hybrid Transfer in Deep Reinforcement Learning for Ads Allocation. CIKM 2022: 4560-4564 - [c9]Yuanying Cai, Chuheng Zhang, Li Zhao, Wei Shen, Xuyun Zhang, Lei Song, Jiang Bian, Tao Qin, Tieyan Liu:
TD3 with Reverse KL Regularizer for Offline Reinforcement Learning from Mixed Datasets. ICDM 2022: 21-30 - [c8]Guogang Liao, Xiaowen Shi, Ze Wang, Xiaoxu Wu, Chuheng Zhang, Yongkang Wang, Xingxing Wang, Dong Wang:
Deep Page-Level Interest Network in Reinforcement Learning for Ads Allocation. SIGIR 2022: 2292-2296 - [c7]Guogang Liao, Ze Wang, Xiaoxu Wu, Xiaowen Shi, Chuheng Zhang, Yongkang Wang, Xingxing Wang, Dong Wang:
Cross DQN: Cross Deep Q Network for Ads Allocation in Feed. WWW 2022: 401-409 - [i13]Guogang Liao, Xiaowen Shi, Ze Wang, Xiaoxu Wu, Chuheng Zhang, Yongkang Wang, Xingxing Wang, Dong Wang:
Deep Page-Level Interest Network in Reinforcement Learning for Ads Allocation. CoRR abs/2204.00377 (2022) - [i12]Guogang Liao, Ze Wang, Xiaowen Shi, Xiaoxu Wu, Chuheng Zhang, Yongkang Wang, Xingxing Wang, Dong Wang:
Learning List-wise Representation in Reinforcement Learning for Ads Allocation with Multiple Auxiliary Tasks. CoRR abs/2204.00888 (2022) - [i11]Guogang Liao, Ze Wang, Xiaowen Shi, Xiaoxu Wu, Chuheng Zhang, Bingqi Zhu, Yongkang Wang, Xingxing Wang, Dong Wang:
Hybrid Transfer in Deep Reinforcement Learning for Ads Allocation. CoRR abs/2204.11589 (2022) - [i10]Yuanying Cai, Chuheng Zhang, Li Zhao, Wei Shen, Xuyun Zhang, Lei Song, Jiang Bian, Tao Qin, Tieyan Liu:
TD3 with Reverse KL Regularizer for Offline Reinforcement Learning from Mixed Datasets. CoRR abs/2212.02125 (2022) - [i9]Wei Shen, Xiaonan He, Chuheng Zhang, Xuyun Zhang, Jian Xie:
A Transformer-Based User Satisfaction Prediction for Proactive Interaction Mechanism in DuerOS. CoRR abs/2212.03817 (2022) - [i8]Yuandong Ding, Mingxiao Feng, Guozi Liu, Wei Jiang, Chuheng Zhang, Li Zhao, Lei Song, Houqiang Li, Yan Jin, Jiang Bian:
Multi-Agent Reinforcement Learning with Shared Resources for Inventory Management. CoRR abs/2212.07684 (2022) - 2021
- [c6]Chuheng Zhang, Yuanying Cai, Longbo Huang, Jian Li:
Exploration by Maximizing Renyi Entropy for Reward-Free RL Framework. AAAI 2021: 10859-10867 - [c5]Wei Shen, Chuheng Zhang, Yun Tian, Liang Zeng, Xiaonan He, Wanchun Dou, Xiaolong Xu:
Inductive Matrix Completion Using Graph Autoencoder. CIKM 2021: 1609-1618 - [c4]Guoqing Liu, Chuheng Zhang, Li Zhao, Tao Qin, Jinhua Zhu, Jian Li, Nenghai Yu, Tie-Yan Liu:
Return-Based Contrastive Representation Learning for Reinforcement Learning. ICLR 2021 - [i7]Guoqing Liu, Chuheng Zhang, Li Zhao, Tao Qin, Jinhua Zhu, Jian Li, Nenghai Yu, Tie-Yan Liu:
Return-Based Contrastive Representation Learning for Reinforcement Learning. CoRR abs/2102.10960 (2021) - [i6]Wei Shen, Chuheng Zhang, Yun Tian, Liang Zeng, Xiaonan He, Wanchun Dou, Xiaolong Xu:
Inductive Matrix Completion Using Graph Autoencoder. CoRR abs/2108.11124 (2021) - [i5]Guogang Liao, Ze Wang, Xiaoxu Wu, Xiaowen Shi, Chuheng Zhang, Yongkang Wang, Xingxing Wang, Dong Wang:
Cross DQN: Cross Deep Q Network for Ads Allocation in Feed. CoRR abs/2109.04353 (2021) - 2020
- [c3]Chuheng Zhang, Yuanqi Li, Jian Li:
Policy Search by Target Distribution Learning for Continuous Control. AAAI 2020: 6770-6777 - [c2]Wei Shen, Xiaonan He, Chuheng Zhang, Qiang Ni, Wanchun Dou, Yan Wang:
Auxiliary-task Based Deep Reinforcement Learning for Participant Selection Problem in Mobile Crowdsourcing. CIKM 2020: 1355-1364 - [c1]Chuheng Zhang, Yuanqi Li, Xi Chen, Yifei Jin, Pingzhong Tang, Jian Li:
DoubleEnsemble: A New Ensemble Method Based on Sample Reweighting and Feature Selection for Financial Data Analysis. ICDM 2020: 781-790 - [i4]Chuheng Zhang, Yuanying Cai, Longbo Huang, Jian Li:
Exploration by Maximizing Rényi Entropy for Zero-Shot Meta RL. CoRR abs/2006.06193 (2020) - [i3]Wei Shen, Xiaonan He, Chuheng Zhang, Qiang Ni, Wanchun Dou, Yan Wang:
Auxiliary-task Based Deep Reinforcement Learning for Participant Selection Problem in Mobile Crowdsourcing. CoRR abs/2008.11087 (2020) - [i2]Chuheng Zhang, Yuanqi Li, Xi Chen, Yifei Jin, Pingzhong Tang, Jian Li:
DoubleEnsemble: A New Ensemble Method Based on Sample Reweighting and Feature Selection for Financial Data Analysis. CoRR abs/2010.01265 (2020)
2010 – 2019
- 2019
- [i1]Chuheng Zhang, Yuanqi Li, Jian Li:
Policy Search by Target Distribution Learning for Continuous Control. CoRR abs/1905.11041 (2019)
Coauthor Index
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