Yan Zheng

127 papers A* 42A 10B 3C 2Journal 60Unranked 10
YearRankTypeTitle / Venue / Authors
2026 A* conf
AFE-Master: Enhancing LLM-Driven Autonomous Feature Engineering with Domain-Specific Language Parsing and Guided Local Search.
WWW
Hebin Liang, Jianye Hao, Jinyi Liu, Yi Ma, Zilin Cao, Jing Liang, Kun Shao, Zhaocheng Du, Fei Ni, Yifu Yuan, Yan Zheng
2026 A* conf
Key Decision-Makers in Multi-Agent Debates: Who Holds the Power?
AAAI
Qian Zhang, Jinyi Liu, Yan Zheng, Hebin Liang, Lanjun Wang
2025 J jnl
AhaRobot: A Low-Cost Open-Source Bimanual Mobile Manipulator for Embodied AI.
CoRR
Haiqin Cui, Yifu Yuan, Yan Zheng, Jianye Hao
2025 J jnl
Bridging Evolutionary Algorithms and Reinforcement Learning: A Comprehensive Survey on Hybrid Algorithms.
IEEE Trans. Evol. Comput.
Pengyi Li, Jianye Hao, Hongyao Tang, Xian Fu, Yan Zheng, Ke Tang
2025 — conf
DualRAG: A Dual-Process Approach to Integrate Reasoning and Retrieval for Multi-Hop Question Answering.
ACL (1)
Rong Cheng, Jinyi Liu, Yan Zheng, Fei Ni, Jiazhen Du, Hangyu Mao, Fuzheng Zhang, Bo Wang, Jianye Hao
2025 J jnl
DualRAG: A Dual-Process Approach to Integrate Reasoning and Retrieval for Multi-Hop Question Answering.
CoRR
Rong Cheng, Jinyi Liu, Yan Zheng, Fei Ni, Jiazhen Du, Hangyu Mao, Fuzheng Zhang, Bo Wang, Jianye Hao
2025 J jnl
ED2: environment dynamics decomposition world models for continuous control.
Vis. Intell.
Yifu Yuan, Hongyao Tang, Cong Wang, Yan Zheng, Jianye Hao
2025 J jnl
Embodied Arena: A Comprehensive, Unified, and Evolving Evaluation Platform for Embodied AI.
CoRR
Fei Ni, Min Zhang, Pengyi Li, Yifu Yuan, Lingfeng Zhang, Yuecheng Liu, Peilong Han, Longxin Kou, Shaojin Ma, Jinbin Qiao, David Gamaliel Arcos Bravo, Yuening Wang, Xiao Hu, Zhanguang Zhang, Xianze Yao, Yutong Li, Zhao Zhang, Ying Wen, Ying-Cong Chen, Xiaodan Liang, Liang Lin, Bin He, Haitham Bou-Ammar, He Wang, Huazhe Xu, Jiankang Deng, Shan Luo, Shuqiang Jiang, Wei Pan, Yang Gao, Stefanos Zafeiriou, Jan Peters, Yuzheng Zhuang, Yingxue Zhang, Yan Zheng, Hongyao Tang, Jianye Hao
2025 J jnl
Embodied-R1: Reinforced Embodied Reasoning for General Robotic Manipulation.
CoRR
Yifu Yuan, Haiqin Cui, Yaoting Huang, Yibin Chen, Fei Ni, Zibin Dong, Pengyi Li, Yan Zheng, Jianye Hao
2025 J jnl
From Chaos to Order: The Atomic Reasoner Framework for Fine-grained Reasoning in Large Language Models.
CoRR
Jinyi Liu, Yan Zheng, Rong Cheng, Qiyu Wu, Wei Guo, Fei Ni, Hebin Liang, Yifu Yuan, Hangyu Mao, Fuzheng Zhang, Jianye Hao
2025 J jnl
From Seeing to Doing: Bridging Reasoning and Decision for Robotic Manipulation.
CoRR
Yifu Yuan, Haiqin Cui, Yibin Chen, Zibin Dong, Fei Ni, Longxin Kou, Jinyi Liu, Pengyi Li, Yan Zheng, Jianye Hao
2025 J jnl
Gaussian process regression for evolutionary dynamic multiobjective optimization in complex environments.
Swarm Evol. Comput.
Youpeng Deng, Yan Zheng, Zhaopeng Meng, Haobo Gao, Yueyang Hua, Qiangguo Jin, Leilei Cao
2025 J jnl
Key Decision-Makers in Multi-Agent Debates: Who Holds the Power?
CoRR
Qian Zhang, Yan Zheng, Jinyi Liu, Hebin Liang, Lanjun Wang
2025 J jnl
MUVLA: Learning to Explore Object Navigation via Map Understanding.
CoRR
Peilong Han, Fan Jia, Min Zhang, Yutao Qiu, Hongyao Tang, Yan Zheng, Tiancai Wang, Jianye Hao
2025 J jnl
Nearest neighbor regression for evolutionary dynamic multiobjective optimization.
Inf. Sci.
Youpeng Deng, Haobo Gao, Yan Zheng, Zhaopeng Meng, Yueyang Hua, Qiangguo Jin, Leilei Cao
2025 A* conf
R*: Efficient Reward Design via Reward Structure Evolution and Parameter Alignment Optimization with Large Language Models.
ICML
Pengyi Li, Jianye Hao, Hongyao Tang, Yifu Yuan, Jinbin Qiao, Zibin Dong, Yan Zheng
2025 A* conf
SheetAgent: Towards a Generalist Agent for Spreadsheet Reasoning and Manipulation via Large Language Models.
WWW
Yibin Chen, Yifu Yuan, Zeyu Zhang, Yan Zheng, Jinyi Liu, Fei Ni, Jianye Hao, Hangyu Mao, Fuzheng Zhang
2025 J jnl
Squeeze the Soaked Sponge: Efficient Off-policy Reinforcement Finetuning for Large Language Model.
CoRR
Jing Liang, Hongyao Tang, Yi Ma, Jinyi Liu, Yan Zheng, Shuyue Hu, Lei Bai, Jianye Hao
2025 — conf
War of Thoughts: Competition Stimulates Stronger Reasoning in Large Language Models.
ACL (Findings)
Yibin Chen, Jinyi Liu, Yan Zheng, Yifu Yuan, Jianye Hao
2024 A conf
A Trajectory Perspective on the Role of Data Sampling Techniques in Offline Reinforcement Learning.
AAMAS
Jinyi Liu, Yi Ma, Jianye Hao, Yujing Hu, Yan Zheng, Tangjie Lv, Changjie Fan
2024 A* conf
A Transfer Approach Using Graph Neural Networks in Deep Reinforcement Learning.
AAAI
Tianpei Yang, Heng You, Jianye Hao, Yan Zheng, Matthew E. Taylor
2024 A* conf
AlignDiff: Aligning Diverse Human Preferences via Behavior-Customisable Diffusion Model.
ICLR
Zibin Dong, Yifu Yuan, Jianye Hao, Fei Ni, Yao Mu, Yan Zheng, Yujing Hu, Tangjie Lv, Changjie Fan, Zhipeng Hu
2024 J jnl
Bridging Evolutionary Algorithms and Reinforcement Learning: A Comprehensive Survey.
CoRR
Pengyi Li, Jianye Hao, Hongyao Tang, Xian Fu, Yan Zheng, Ke Tang
2024 J jnl
CellAgent: An LLM-driven Multi-Agent Framework for Automated Single-cell Data Analysis.
CoRR
Yihang Xiao, Jinyi Liu, Yan Zheng, Xiaohan Xie, Jianye Hao, Mingzhi Li, Ruitao Wang, Fei Ni, Yuxiao Li, Jintian Luo, Shaoqing Jiao, Jiajie Peng
2024 A* conf
CleanDiffuser: An Easy-to-use Modularized Library for Diffusion Models in Decision Making.
NeurIPS
Zibin Dong, Yifu Yuan, Jianye Hao, Fei Ni, Yi Ma, Pengyi Li, Yan Zheng
2024 J jnl
CleanDiffuser: An Easy-to-use Modularized Library for Diffusion Models in Decision Making.
CoRR
Zibin Dong, Yifu Yuan, Jianye Hao, Fei Ni, Yi Ma, Pengyi Li, Yan Zheng
2024 A* conf
DiffuserLite: Towards Real-time Diffusion Planning.
NeurIPS
Zibin Dong, Jianye Hao, Yifu Yuan, Fei Ni, Yitian Wang, Pengyi Li, Yan Zheng
2024 J jnl
DiffuserLite: Towards Real-time Diffusion Planning.
CoRR
Zibin Dong, Jianye Hao, Yifu Yuan, Fei Ni, Yitian Wang, Pengyi Li, Yan Zheng
2024 A conf
ENOTO: Improving Offline-to-Online Reinforcement Learning with Q-Ensembles.
AAMAS
Kai Zhao, Jianye Hao, Yi Ma, Jinyi Liu, Yan Zheng, Zhaopeng Meng
2024 A* conf
ENOTO: Improving Offline-to-Online Reinforcement Learning with Q-Ensembles.
IJCAI
Kai Zhao, Jianye Hao, Yi Ma, Jinyi Liu, Yan Zheng, Zhaopeng Meng
2024 J jnl
Enhancing Robotic Manipulation with AI Feedback from Multimodal Large Language Models.
CoRR
Jinyi Liu, Yifu Yuan, Jianye Hao, Fei Ni, Lingzhi Fu, Yibin Chen, Yan Zheng
2024 A* conf
EvoRainbow: Combining Improvements in Evolutionary Reinforcement Learning for Policy Search.
ICML
Pengyi Li, Yan Zheng, Hongyao Tang, Xian Fu, Jianye Hao
2024 A* conf
Generate Subgoal Images Before Act: Unlocking the Chain-of-Thought Reasoning in Diffusion Model for Robot Manipulation with Multimodal Prompts.
CVPR
Fei Ni, Jianye Hao, Shiguang Wu, Longxin Kou, Jiashun Liu, Yan Zheng, Bin Wang, Yuzheng Zhuang
2024 A conf
Hybrid CtrlFormer: Learning Adaptive Search Space Partition for Hybrid Action Control via Transformer-based Monte Carlo Tree Search.
UAI
Jiashun Liu, Xiaotian Hao, Jianye Hao, Yan Zheng, Yujing Hu, Changjie Fan, Tangjie Lv, Zhipeng Hu
2024 A* conf
Improving Neural Logic Machines via Failure Reflection.
ICML
Zhiming Li, Yushi Cao, Yan Zheng, Xu Liu, Bozhi Wu, Tianlin Li, Xiufeng Xu, Junzhe Jiang, Yon Shin Teo, Shang-Wei Lin, Yang Liu
2024 J jnl
Is AI testing beneficial for the manufacturer and social welfare? Optimal test strategy of a smart product.
Expert Syst. Appl.
Yanran Li, Yan Zheng, Yon Shin Teo, Shangwei Lin
2024 A* conf
Iteratively Refined Behavior Regularization for Offline Reinforcement Learning.
NeurIPS
Yi Ma, Jianye Hao, Xiaohan Hu, Yan Zheng, Chenjun Xiao
2024 A* conf
KISA: A Unified Keyframe Identifier and Skill Annotator for Long-Horizon Robotics Demonstrations.
ICML
Longxin Kou, Fei Ni, Yan Zheng, Jinyi Liu, Yifu Yuan, Zibin Dong, Jianye Hao
2024 J jnl
MFE-ETP: A Comprehensive Evaluation Benchmark for Multi-modal Foundation Models on Embodied Task Planning.
CoRR
Min Zhang, Jianye Hao, Xian Fu, Peilong Han, Hao Zhang, Lei Shi, Hongyao Tang, Yan Zheng
2024 A* conf
Multiagent Gumbel MuZero: Efficient Planning in Combinatorial Action Spaces.
AAAI
Xiaotian Hao, Jianye Hao, Chenjun Xiao, Kai Li, Dong Li, Yan Zheng
2024 A* conf
OVD-Explorer: Optimism Should Not Be the Sole Pursuit of Exploration in Noisy Environments.
AAAI
Jinyi Liu, Zhi Wang, Yan Zheng, Jianye Hao, Chenjia Bai, Junjie Ye, Zhen Wang, Haiyin Piao, Yang Sun
2024 A conf
PADDLE: Logic Program Guided Policy Reuse in Deep Reinforcement Learning.
AAMAS
Hao Zhang, Tianpei Yang, Yan Zheng, Jianye Hao, Matthew E. Taylor
2024 A* conf
PERIA: Perceive, Reason, Imagine, Act via Holistic Language and Vision Planning for Manipulation.
NeurIPS
Fei Ni, Jianye Hao, Shiguang Wu, Longxin Kou, Yifu Yuan, Zibin Dong, Jinyi Liu, Mingzhi Li, Yuzheng Zhuang, Yan Zheng
2024 A* conf
PORTAL: Automatic Curricula Generation for Multiagent Reinforcement Learning.
AAAI
Jizhou Wu, Jianye Hao, Tianpei Yang, Xiaotian Hao, Yan Zheng, Weixun Wang, Matthew E. Taylor
2024 J jnl
RUDE: Fusing Rules and Deep Learning for High-Speed Drone Path Planning.
Adv. Artif. Intell. Mach. Learn.
Yan Zheng, Yanran Li, Yanan Zhang, Shixi Lian, Yongming Wen, Yue Yu
2024 J jnl
SheetAgent: A Generalist Agent for Spreadsheet Reasoning and Manipulation via Large Language Models.
CoRR
Yibin Chen, Yifu Yuan, Zeyu Zhang, Yan Zheng, Jinyi Liu, Fei Ni, Jianye Hao
2024 — conf
The MMO Economist: AI Empowers Robust, Healthy, and Sustainable P2W MMO Economies.
WWW (Companion Volume)
Shiwei Zhao, Xi Yuan, Runze Wu, Zhipeng Hu, Haoyu Liu, Kai Wang, Yujing Hu, Tangjie Lv, Changjie Fan, Xin T. Tong, Jiangze Han, Yan Zheng, Jianye Hao
2024 A* conf
Uni-RLHF: Universal Platform and Benchmark Suite for Reinforcement Learning with Diverse Human Feedback.
ICLR
Yifu Yuan, Jianye Hao, Yi Ma, Zibin Dong, Hebin Liang, Jinyi Liu, Zhixin Feng, Kai Zhao, Yan Zheng
2024 J jnl
Uni-RLHF: Universal Platform and Benchmark Suite for Reinforcement Learning with Diverse Human Feedback.
CoRR
Yifu Yuan, Jianye Hao, Yi Ma, Zibin Dong, Hebin Liang, Jinyi Liu, Zhixin Feng, Kai Zhao, Yan Zheng
2024 A* conf
Unlock the Intermittent Control Ability of Model Free Reinforcement Learning.
NeurIPS
Jiashun Liu, Jianye Hao, Xiaotian Hao, Yi Ma, Yan Zheng, Yujing Hu, Tangjie Lv
2024 A* conf
Value-Evolutionary-Based Reinforcement Learning.
ICML
Pengyi Li, Jianye Hao, Hongyao Tang, Yan Zheng, Fazl Barez
2023 A conf
A Hierarchical Imitation Learning-based Decision Framework for Autonomous Driving.
CIKM
Hebin Liang, Zibin Dong, Yi Ma, Xiaotian Hao, Yan Zheng, Jianye Hao
2023 J jnl
Accelerating deep reinforcement learning via knowledge-guided policy network.
Auton. Agents Multi Agent Syst.
YuanQiang Yu, Peng Zhang, Kai Zhao, Yan Zheng, Jianye Hao
2023 J jnl
AlignDiff: Aligning Diverse Human Preferences via Behavior-Customisable Diffusion Model.
CoRR
Zibin Dong, Yifu Yuan, Jianye Hao, Fei Ni, Yao Mu, Yan Zheng, Yujing Hu, Tangjie Lv, Changjie Fan, Zhipeng Hu
2023 C conf
An Automatic Test Plan Generation Approach for Automotive Software Testing.
SoMeT
Yushi Cao, Yanran Li, Yon Shin Teo, Yan Zheng, Zhexin Liang, Shang-Wei Lin
2023 A conf
BiERL: A Meta Evolutionary Reinforcement Learning Framework via Bilevel Optimization.
ECAI
Junyi Wang, Yuanyang Zhu, Zhi Wang, Yan Zheng, Jianye Hao, Chunlin Chen
2023 J jnl
BiERL: A Meta Evolutionary Reinforcement Learning Framework via Bilevel Optimization.
CoRR
Junyi Wang, Yuanyang Zhu, Zhi Wang, Yan Zheng, Jianye Hao, Chunlin Chen
2023 A* conf
Boosting Multiagent Reinforcement Learning via Permutation Invariant and Permutation Equivariant Networks.
ICLR
Jianye Hao, Xiaotian Hao, Hangyu Mao, Weixun Wang, Yaodong Yang, Dong Li, Yan Zheng, Zhen Wang
2023 A* conf
ERL-Re$^2$: Efficient Evolutionary Reinforcement Learning with Shared State Representation and Individual Policy Representation.
ICLR
Jianye Hao, Pengyi Li, Hongyao Tang, Yan Zheng, Xian Fu, Zhaopeng Meng
2023 A* conf
EUCLID: Towards Efficient Unsupervised Reinforcement Learning with Multi-choice Dynamics Model.
ICLR
Yifu Yuan, Jianye Hao, Fei Ni, Yao Mu, Yan Zheng, Yujing Hu, Jinyi Liu, Yingfeng Chen, Changjie Fan
2023 J jnl
Ensemble-based Offline-to-Online Reinforcement Learning: From Pessimistic Learning to Optimistic Exploration.
CoRR
Kai Zhao, Yi Ma, Jinyi Liu, Yan Zheng, Zhaopeng Meng
2023 A* conf
Generative Flow Networks for Precise Reward-Oriented Active Learning on Graphs.
IJCAI
Yinchuan Li, Zhigang Li, Wenqian Li, Yunfeng Shao, Yan Zheng, Jianye Hao
2023 J jnl
Generative Flow Networks for Precise Reward-Oriented Active Learning on Graphs.
CoRR
Yinchuan Li, Zhigang Li, Wenqian Li, Yunfeng Shao, Yan Zheng, Jianye Hao
2023 J jnl
HIPODE: Enhancing Offline Reinforcement Learning with High-Quality Synthetic Data from a Policy-Decoupled Approach.
CoRR
Shixi Lian, Yi Ma, Jinyi Liu, Yan Zheng, Zhaopeng Meng
2023 J jnl
In-Sample Policy Iteration for Offline Reinforcement Learning.
CoRR
Xiaohan Hu, Yi Ma, Chenjun Xiao, Yan Zheng, Zhaopeng Meng
2023 — conf
Limited Information Opponent Modeling.
ICANN (8)
Yongliang Lv, YuanQiang Yu, Yan Zheng, Jianye Hao, Yongming Wen, Yue Yu
2023 A* conf
MetaDiffuser: Diffusion Model as Conditional Planner for Offline Meta-RL.
ICML
Fei Ni, Jianye Hao, Yao Mu, Yifu Yuan, Yan Zheng, Bin Wang, Zhixuan Liang
2023 J jnl
MetaDiffuser: Diffusion Model as Conditional Planner for Offline Meta-RL.
CoRR
Fei Ni, Jianye Hao, Yao Mu, Yifu Yuan, Yan Zheng, Bin Wang, Zhixuan Liang
2023 A* conf
Neural Episodic Control with State Abstraction.
ICLR
Zhuo Li, Derui Zhu, Yujing Hu, Xiaofei Xie, Lei Ma, Yan Zheng, Yan Song, Yingfeng Chen, Jianjun Zhao
2023 J jnl
Neural Episodic Control with State Abstraction.
CoRR
Zhuo Li, Derui Zhu, Yujing Hu, Xiaofei Xie, Lei Ma, Yan Zheng, Yan Song, Yingfeng Chen, Jianjun Zhao
2023 J jnl
OVD-Explorer: Optimism Should Not Be the Sole Pursuit of Exploration in Noisy Environments.
CoRR
Jinyi Liu, Zhi Wang, Yan Zheng, Jianye Hao, Chenjia Bai, Junjie Ye, Zhen Wang, Haiyin Piao, Yang Sun
2023 A conf
PORTAL: Automatic Curricula Generation for Multiagent Reinforcement Learning.
AAMAS
Jizhou Wu, Tianpei Yang, Xiaotian Hao, Jianye Hao, Yan Zheng, Weixun Wang, Matthew E. Taylor
2023 J jnl
Prioritized Trajectory Replay: A Replay Memory for Data-driven Reinforcement Learning.
CoRR
Jinyi Liu, Yi Ma, Jianye Hao, Yujing Hu, Yan Zheng, Tangjie Lv, Changjie Fan
2023 J jnl
Prompt Injection attack against LLM-integrated Applications.
CoRR
Yi Liu, Gelei Deng, Yuekang Li, Kailong Wang, Tianwei Zhang, Yepang Liu, Haoyu Wang, Yan Zheng, Yang Liu
2023 A* conf
RACE: Improve Multi-Agent Reinforcement Learning with Representation Asymmetry and Collaborative Evolution.
ICML
Pengyi Li, Jianye Hao, Hongyao Tang, Yan Zheng, Xian Fu
2023 B conf
T3S: Improving Multi-Task Reinforcement Learning with Task-Specific Feature Selector and Scheduler.
IJCNN
YuanQiang Yu, Tianpei Yang, Yongliang Lv, Yan Zheng, Jianye Hao
2022 C conf
A Holistic Automated Software Structure Exploration Framework for Testing.
SoMeT
Yushi Cao, Yon Shin Teo, Yan Zheng, Yuxuan Toh, Shang-Wei Lin
2022 J jnl
API: Boosting Multi-Agent Reinforcement Learning via Agent-Permutation-Invariant Networks.
CoRR
Xiaotian Hao, Weixun Wang, Hangyu Mao, Yaodong Yang, Dong Li, Yan Zheng, Zhen Wang, Jianye Hao
2022 A conf
Cross-domain adaptive transfer reinforcement learning based on state-action correspondence.
UAI
Heng You, Tianpei Yang, Yan Zheng, Jianye Hao, Matthew E. Taylor
2022 J jnl
ERL-Re
CoRR
Pengyi Li, Hongyao Tang, Jianye Hao, Yan Zheng, Xian Fu, Zhaopeng Meng
2022 J jnl
EUCLID: Towards Efficient Unsupervised Reinforcement Learning with Multi-choice Dynamics Model.
CoRR
Yifu Yuan, Jianye Hao, Fei Ni, Yao Mu, Yan Zheng, Yujing Hu, Jinyi Liu, Yingfeng Chen, Changjie Fan
2022 — conf
Efficient Deep Reinforcement Learning via Policy-Extended Successor Feature Approximator.
DAI
Yining Li, Tianpei Yang, Jianye Hao, Yan Zheng, Hongyao Tang
2022 A* conf
GALOIS: Boosting Deep Reinforcement Learning via Generalizable Logic Synthesis.
NeurIPS
Yushi Cao, Zhiming Li, Tianpei Yang, Hao Zhang, Yan Zheng, Yi Li, Jianye Hao, Yang Liu
2022 J jnl
GALOIS: Boosting Deep Reinforcement Learning via Generalizable Logic Synthesis.
CoRR
Yushi Cao, Zhiming Li, Tianpei Yang, Hao Zhang, Yan Zheng, Yi Li, Jianye Hao, Yang Liu
2022 A* conf
HyAR: Addressing Discrete-Continuous Action Reinforcement Learning via Hybrid Action Representation.
ICLR
Boyan Li, Hongyao Tang, Yan Zheng, Jianye Hao, Pengyi Li, Zhen Wang, Zhaopeng Meng, Li Wang
2022 A* conf
PAnDR: Fast Adaptation to New Environments from Offline Experiences via Decoupling Policy and Environment Representations.
IJCAI
Tong Sang, Hongyao Tang, Yi Ma, Jianye Hao, Yan Zheng, Zhaopeng Meng, Boyan Li, Zhen Wang
2022 J jnl
PAnDR: Fast Adaptation to New Environments from Offline Experiences via Decoupling Policy and Environment Representations.
CoRR
Tong Sang, Hongyao Tang, Yi Ma, Jianye Hao, Yan Zheng, Zhaopeng Meng, Boyan Li, Zhen Wang
2022 A* conf
PMIC: Improving Multi-Agent Reinforcement Learning with Progressive Mutual Information Collaboration.
ICML
Pengyi Li, Hongyao Tang, Tianpei Yang, Xiaotian Hao, Tong Sang, Yan Zheng, Jianye Hao, Matthew E. Taylor, Wenyuan Tao, Zhen Wang
2022 J jnl
PMIC: Improving Multi-Agent Reinforcement Learning with Progressive Mutual Information Collaboration.
CoRR
Pengyi Li, Hongyao Tang, Tianpei Yang, Xiaotian Hao, Tong Sang, Yan Zheng, Jianye Hao, Matthew E. Taylor, Zhen Wang
2022 J jnl
Towards A Unified Policy Abstraction Theory and Representation Learning Approach in Markov Decision Processes.
CoRR
Min Zhang, Hongyao Tang, Jianye Hao, Yan Zheng
2021 B conf
A deep reinforcement learning-based agent for negotiation with multiple communication channels.
ICTAI
Xiaoyang Gao, Siqi Chen, Yan Zheng, Jianye Hao
2021 A* conf
Automatic HMI Structure Exploration Via Curiosity-Based Reinforcement Learning.
ASE
Yushi Cao, Yan Zheng, Shang-Wei Lin, Yang Liu, Yon Shin Teo, Yuxuan Toh, Vinay Vishnumurthy Adiga
2021 A* conf
Automatic Web Testing Using Curiosity-Driven Reinforcement Learning.
ICSE
Yan Zheng, Yi Liu, Xiaofei Xie, Yepang Liu, Lei Ma, Jianye Hao, Yang Liu
2021 J jnl
Automatic Web Testing using Curiosity-Driven Reinforcement Learning.
CoRR
Yan Zheng, Yi Liu, Xiaofei Xie, Yepang Liu, Lei Ma, Jianye Hao, Yang Liu
2021 — conf
Detecting and Learning Against Unknown Opponents for Automated Negotiations.
PRICAI (3)
Leling Wu, Siqi Chen, Xiaoyang Gao, Yan Zheng, Jianye Hao
2021 J jnl
ED2: An Environment Dynamics Decomposition Framework for World Model Construction.
CoRR
Cong Wang, Tianpei Yang, Jianye Hao, Yan Zheng, Hongyao Tang, Fazl Barez, Jinyi Liu, Jiajie Peng, Haiyin Piao, Zhixiao Sun
2021 J jnl
Efficient policy detecting and reusing for non-stationarity in Markov games.
Auton. Agents Multi Agent Syst.
Yan Zheng, Jianye Hao, Zongzhang Zhang, Zhaopeng Meng, Tianpei Yang, Yanran Li, Changjie Fan
2021 J jnl
HyAR: Addressing Discrete-Continuous Action Reinforcement Learning via Hybrid Action Representation.
CoRR
Boyan Li, Hongyao Tang, Yan Zheng, Jianye Hao, Pengyi Li, Zhen Wang, Zhaopeng Meng, Li Wang
2021 — conf
Uncertainty-Aware Low-Rank Q-Matrix Estimation for Deep Reinforcement Learning.
DAI
Tong Sang, Hongyao Tang, Jianye Hao, Yan Zheng, Zhaopeng Meng
2021 J jnl
Uncertainty-aware Low-Rank Q-Matrix Estimation for Deep Reinforcement Learning.
CoRR
Tong Sang, Hongyao Tang, Jianye Hao, Yan Zheng, Zhaopeng Meng
2021 J jnl
Vulnerability Assessment of Deep Reinforcement Learning Models for Power System Topology Optimization.
IEEE Trans. Smart Grid
Yan Zheng, Ziming Yan, Kangjie Chen, Jianwen Sun, Yan Xu, Yang Liu
2020 A* conf
Continuous Multiagent Control Using Collective Behavior Entropy for Large-Scale Home Energy Management.
AAAI
Jianwen Sun, Yan Zheng, Jianye Hao, Zhaopeng Meng, Yang Liu
2020 J jnl
Continuous Multiagent Control using Collective Behavior Entropy for Large-Scale Home Energy Management.
CoRR
Jianwen Sun, Yan Zheng, Jianye Hao, Zhaopeng Meng, Yang Liu
2020 J jnl
Efficient Multiagent Policy Optimization Based on Weighted Estimators in Stochastic Cooperative Environments.
J. Comput. Sci. Technol.
Yan Zheng, Jianye Hao, Zongzhang Zhang, Zhao-Peng Meng, Xiaotian Hao
2020 A* conf
Generating Behavior-Diverse Game AIs with Evolutionary Multi-Objective Deep Reinforcement Learning.
IJCAI
Ruimin Shen, Yan Zheng, Jianye Hao, Zhaopeng Meng, Yingfeng Chen, Changjie Fan, Yang Liu
2020 A* conf
KoGuN: Accelerating Deep Reinforcement Learning via Integrating Human Suboptimal Knowledge.
IJCAI
Peng Zhang, Jianye Hao, Weixun Wang, Hongyao Tang, Yi Ma, Yihai Duan, Yan Zheng
2020 J jnl
KoGuN: Accelerating Deep Reinforcement Learning via Integrating Human Suboptimal Knowledge.
CoRR
Peng Zhang, Jianye Hao, Weixun Wang, Hongyao Tang, Yi Ma, Yihai Duan, Yan Zheng
2020 A* conf
Stealthy and Efficient Adversarial Attacks against Deep Reinforcement Learning.
AAAI
Jianwen Sun, Tianwei Zhang, Xiaofei Xie, Lei Ma, Yan Zheng, Kangjie Chen, Yang Liu
2020 J jnl
Stealthy and Efficient Adversarial Attacks against Deep Reinforcement Learning.
CoRR
Jianwen Sun, Tianwei Zhang, Xiaofei Xie, Lei Ma, Yan Zheng, Kangjie Chen, Yang Liu
2019 A conf
Bayes-ToMoP: A Fast Detection and Best Response Algorithm Towards Sophisticated Opponents.
AAMAS
Tianpei Yang, Jianye Hao, Zhaopeng Meng, Yan Zheng, Chongjie Zhang, Ze Zheng
2019 A* conf
Large-Scale Home Energy Management Using Entropy-Based Collective Multiagent Deep Reinforcement Learning Framework.
IJCAI
Yaodong Yang, Jianye Hao, Yan Zheng, Chao Yu
2019 A conf
Large-Scale Home Energy Management Using Entropy-Based Collective Multiagent Reinforcement Learning Framework.
AAMAS
Yaodong Yang, Jianye Hao, Yan Zheng, Xiaotian Hao, Bofeng Fu
2019 J jnl
Schedule optimization under fuzzy constraints of vehicle capacity.
Fuzzy Optim. Decis. Mak.
Yanan Zhang, Zhaopeng Meng, Yan Zheng, Anca L. Ralescu
2019 A* conf
Towards Efficient Detection and Optimal Response against Sophisticated Opponents.
IJCAI
Tianpei Yang, Jianye Hao, Zhaopeng Meng, Chongjie Zhang, Yan Zheng, Ze Zheng
2019 A* conf
Wuji: Automatic Online Combat Game Testing Using Evolutionary Deep Reinforcement Learning.
ASE
Yan Zheng, Changjie Fan, Xiaofei Xie, Ting Su, Lei Ma, Jianye Hao, Zhaopeng Meng, Yang Liu, Ruimin Shen, Yingfeng Chen
2018 A* conf
A Deep Bayesian Policy Reuse Approach Against Non-Stationary Agents.
NeurIPS
Yan Zheng, Zhaopeng Meng, Jianye Hao, Zongzhang Zhang, Tianpei Yang, Changjie Fan
2018 — conf
An Accurate Modeling Technology Based on Depth Information of Cultural Relics.
ISCID (1)
Jinchen Zhang, Mu Zhang, Yan Zheng, Deng Pan, Sihong Zhou
2018 J jnl
Bayes-ToMoP: A Fast Detection and Best Response Algorithm Towards Sophisticated Opponents.
CoRR
Tianpei Yang, Zhaopeng Meng, Jianye Hao, Chongjie Zhang, Yan Zheng
2018 J jnl
Hierarchical Deep Multiagent Reinforcement Learning.
CoRR
Hongyao Tang, Jianye Hao, Tangjie Lv, Yingfeng Chen, Zongzhang Zhang, Hangtian Jia, Chunxu Ren, Yan Zheng, Changjie Fan, Li Wang
2018 J jnl
Localizing multiple software faults based on evolution algorithm.
J. Syst. Softw.
Yan Zheng, Zan Wang, Xiangyu Fan, Xiang Chen, Zijiang Yang
2018 J jnl
Real-time predication and navigation on traffic congestion model with equilibrium Markov chain.
Int. J. Distributed Sens. Networks
Yan Zheng, Yanran Li, Chung-Ming Own, Zhaopeng Meng, Mengya Gao
2018 B conf
Weighted Double Deep Multiagent Reinforcement Learning in Stochastic Cooperative Environments.
PRICAI
Yan Zheng, Zhaopeng Meng, Jianye Hao, Zongzhang Zhang
2018 J jnl
Weighted Double Deep Multiagent Reinforcement Learning in Stochastic Cooperative Environments.
CoRR
Yan Zheng, Jianye Hao, Zongzhang Zhang
2017 — conf
Preliminary Application of Gesture Recognition to Virtual Acupuncture.
ISCID (1)
Mu Zhang, Yan Zheng, Chenhui Cui, Zhaopeng Meng, Chung-Ming Own
2017 — conf
SOMR: Towards a Security-Oriented MapReduce Infrastructure.
TrustCom/BigDataSE/ICESS
Rui Zhao, Zhao-Peng Meng, Yan Zheng, Qiangguo Jin, Anbang Ruan, Hanglun Xie
2015 J jnl
A Short-Text Oriented Clustering Method for Hot Topics Extraction.
Int. J. Softw. Eng. Knowl. Eng.
Yan Zheng, Zhao-Peng Meng, Chao Xu
2015 J jnl
Layered modeling and generation of Pollock's drip style.
Vis. Comput.
Yan Zheng, Xuecheng Nie, Zhao-Peng Meng, Wei Feng, Kang Zhang