Chuheng Zhang

According to our database, Chuheng Zhang authored at least 28 papers between 2020 and 2024.

Collaborative distances:

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

2024

IGOR: Image-GOal Representations are the Atomic Control Units for Foundation Models in Embodied AI.

Xiaoyu Chen, Junliang Guo, Tianyu He, Chuheng Zhang, Pushi Zhang, Derek Yang, Li Zhao, Jiang Bian

CoRR, 2024

Policy Filtration in RLHF to Fine-Tune LLM for Code Generation.

Wei Shen, Chuheng Zhang

CoRR, 2024

Empowering Large Language Models on Robotic Manipulation with Affordance Prompting.

Guangran Cheng, Chuheng Zhang, Wenzhe Cai, Li Zhao, Changyin Sun, Jiang Bian

CoRR, 2024

ARO: Large Language Model Supervised Robotics Text2Skill Autonomous Learning.

Yiwen Chen, Yuyao Ye, Ziyi Chen, Chuheng Zhang, Marcelo H. Ang

CoRR, 2024

Diversification of Adaptive Policy for Effective Offline Reinforcement Learning.

Yunseon Choi, Li Zhao, Chuheng Zhang, Lei Song, Jiang Bian, Kee-Eung Kim

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Whittle Index with Multiple Actions and State Constraint for Inventory Management.

Chuheng Zhang, Xiangsen Wang, Wei Jiang, Xianliang Yang, Siwei Wang, Lei Song, Jiang Bian

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Hard Prompts Made Interpretable: Sparse Entropy Regularization for Prompt Tuning with RL.

Yunseon Choi, Sangmin Bae, Seonghyun Ban, Minchan Jeong, Chuheng Zhang, Lei Song, Li Zhao, Jiang Bian, Kee-Eung Kim

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

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

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

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

RePreM: Representation Pre-training with Masked Model for Reinforcement Learning.

Yuanying Cai, Chuheng Zhang, Wei Shen, Xuyun Zhang, Wenjie Ruan, Longbo Huang

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

Cross DQN: Cross Deep Q Network for Ads Allocation in Feed.

Guogang Liao, Ze Wang, Xiaoxu Wu, Xiaowen Shi, Chuheng Zhang, Yongkang Wang, Xingxing Wang, Dong Wang

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Deep Page-Level Interest Network in Reinforcement Learning for Ads Allocation.

Guogang Liao, Xiaowen Shi, Ze Wang, Xiaoxu Wu, Chuheng Zhang, Yongkang Wang, Xingxing Wang, Dong Wang

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

Hybrid Transfer in Deep Reinforcement Learning for Ads Allocation.

Ze Wang, Guogang Liao, Xiaowen Shi, Xiaoxu Wu, Chuheng Zhang, Bingqi Zhu, Yongkang Wang, Xingxing Wang, Dong Wang

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Learning List-wise Representation in Reinforcement Learning for Ads Allocation with Multiple Auxiliary Tasks.

Ze Wang, Guogang Liao, Xiaowen Shi, Xiaoxu Wu, Chuheng Zhang, Yongkang Wang, Xingxing Wang, Dong Wang

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

A Transformer-Based User Satisfaction Prediction for Proactive Interaction Mechanism in DuerOS.

Wei Shen, Xiaonan He, Chuheng Zhang, Xuyun Zhang, Jian Xie

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Imitation Learning to Outperform Demonstrators by Directly Extrapolating Demonstrations.

Yuanying Cai, Chuheng Zhang, Wei Shen, Xiaonan He, Xuyun Zhang, Longbo Huang

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

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

Inductive Matrix Completion Using Graph Autoencoder.

Wei Shen, Chuheng Zhang, Yun Tian, Liang Zeng, Xiaonan He, Wanchun Dou, Xiaolong Xu

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Exploration by Maximizing Renyi Entropy for Reward-Free RL Framework.

Chuheng Zhang, Yuanying Cai, Longbo Huang, Jian Li

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Exploration by Maximizing Rényi Entropy for Zero-Shot Meta RL.

Chuheng Zhang, Yuanying Cai, Longbo Huang, Jian Li

CoRR, 2020

DoubleEnsemble: A New Ensemble Method Based on Sample Reweighting and Feature Selection for Financial Data Analysis.

Chuheng Zhang, Yuanqi Li, Xi Chen, Yifei Jin, Pingzhong Tang, Jian Li

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Auxiliary-task Based Deep Reinforcement Learning for Participant Selection Problem in Mobile Crowdsourcing.

Wei Shen, Xiaonan He, Chuheng Zhang, Qiang Ni, Wanchun Dou, Yan Wang

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Policy Search by Target Distribution Learning for Continuous Control.

Chuheng Zhang, Yuanqi Li, Jian Li

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020