Yali Du

发表

Perceiving the World: Question-guided Reinforcement Learning for Text-based Games

Joey Tianyi Zhou, Meng Fang, Yunqiu Xu, 2022, ACL.

A Review of Safe Reinforcement Learning: Methods, Theory and Applications

Yaodong Yang, Jun Wang, Florian Walter, 2022, ArXiv.

A Review of Safe Reinforcement Learning: Methods, Theory and Applications

Yaodong Yang, Jun Wang, Florian Walter, 2022, ArXiv.

Fully Decentralized Model-based Policy Optimization for Networked Systems

Yaodong Yang, Jun Wang, Yali Du, 2022, ArXiv.

Reinforcement Learning With Multiple Relational Attention for Solving Vehicle Routing Problems

Ling Chen, Meng Fang, Gangyan Xu, 2021, IEEE Transactions on Cybernetics.

Scalable Model-based Policy Optimization for Decentralized Networked Systems

Yaodong Yang, Jun Wang, Yuchen Liu, 2022, 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Reasoning and interaction for social artificial intelligence

S. Miles, L. Moreau, S. Modgil, 2022, AI Commun..

Multi-queue Momentum Contrast for Microvideo-Product Retrieval

Liqiang Nie, Wei Ji, Yali Du, 2022, WSDM.

Is Nash Equilibrium Approximator Learnable?

Yaodong Yang, Jun Wang, Dinghuai Zhang, 2021, 2108.07472.

LIIR: Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning

Lei Han, Dacheng Tao, Ji Liu, 2019, NeurIPS.

Signal Instructed Coordination in Cooperative Multi-agent Reinforcement Learning

Yong Yu, Hongyi Guo, Yali Du, 2019, DAI.

A Review of Safe Reinforcement Learning: Methods, Theory and Applications

Yaodong Yang, Jun Wang, Florian Walter, 2022, ArXiv.

PECAN: Leveraging Policy Ensemble for Context-Aware Zero-Shot Human-AI Coordination

Jun Wang, Junge Zhang, Jiaxian Guo, 2023, ArXiv.

Curriculum-guided Hindsight Experience Replay

Lei Han, Zhengyou Zhang, Tianyi Zhou, 2019, NeurIPS.

Learning in Nonzero-Sum Stochastic Games with Potentials

Ying Wen, Ziyi Wang, David Mguni, 2021, ICML.

Ordering-Based Causal Discovery with Reinforcement Learning

Zhitang Chen, Jianye Hao, Liangjun Ke, 2021, IJCAI.

A Human-Centered Safe Robot Reinforcement Learning Framework with Interactive Behaviors

Yaodong Yang, Jan Peters, Yali Du, 2023, ArXiv.

Rethinking Goal-conditioned Supervised Learning and Its Connection to Offline RL

Chongjie Zhang, Meng Fang, Yali Du, 2022, ICLR.

Generalization in Text-based Games via Hierarchical Reinforcement Learning

Yali Du, Ling Chen, Chengqi Zhang, 2021, EMNLP.

Deep Reinforcement Learning with Stacked Hierarchical Attention for Text-based Games

Joey Tianyi Zhou, Ling Chen, Meng Fang, 2020, NeurIPS.

PECAN: Leveraging Policy Ensemble for Context-Aware Zero-Shot Human-AI Coordination

Jun Wang, Junge Zhang, Jiaxian Guo, 2023, AAMAS.

Meta-Reward-Net: Implicitly Differentiable Reward Learning for Preference-based Reinforcement Learning

Yaodong Yang, Yali Du, Runze Liu, 2022, NeurIPS.

How to Train Your Agent: Active Learning from Human Preferences and Justifications in Safety-critical Environments

T. Norman, Yali Du, Ilias Kazantzidis, 2022, AAMAS.

Grid-Wise Control for Multi-Agent Reinforcement Learning in Video Game AI

Tong Zhang, Lei Han, Peng Sun, 2019, ICML.

Contextual Transformer for Offline Meta Reinforcement Learning

Yaodong Yang, Yali Du, Jun Wang, 2022, ArXiv.

GCS: Graph-based Coordination Strategy for Multi-Agent Reinforcement Learning pdf

Dengpeng Xing, Jun Wang, Linghui Meng, 2022, AAMAS.

Yali Du, Vincent Moens, Jun Wang, 2021, AAMAS.

Cooperative Open-ended Learning Framework for Zero-shot Coordination

Yali Du, Xinbing Wang, Ying Wen, 2023, ArXiv.

Introspective Tips: Large Language Model for In-Context Decision Making

Fan Yang, Lu Wang, Hang Dong, 2023, ArXiv.

Towards the PAC Learnability of Nash Equilibrium

Yaodong Yang, Jun Wang, Dinghuai Zhang, 2022 .

PAC Learnability of Approximate Nash Equilibrium in Bimatrix Games

Yaodong Yang, Jun Wang, Dinghuai Zhang, 2021 .

Reinforcement Recommendation with User Multi-aspect Preference

Long Xia, Yali Du, Xu Chen, 2021, WWW.

Learning to Shape Rewards using a Game of Switching Controls

Nicolas Perez Nieves, Yaodong Yang, Jun Wang, 2021, ArXiv.

Ensemble Value Functions for Efficient Exploration in Multi-Agent Reinforcement Learning

Stefano V. Albrecht, Yali Du, D. Mguni, 2023, ArXiv.

Shared dynamics learning for large-scale traveling salesman problem

Meng Fang, Gangyan Xu, Yunqiu Xu, 2023, Adv. Eng. Informatics.

Zero-shot Preference Learning for Offline RL via Optimal Transport

Yali Du, Jiafei Lyu, Xiu Li, 2023, ArXiv.

Estimating α-Rank from A Few Entries with Low Rank Matrix Completion

Jun Wang, Xueqiang Yan, Yali Du, 2021, International Conference on Machine Learning.

Learning to Identify Top Elo Ratings: A Dueling Bandits Approach pdf

Binxin Ru, Jun Wang, Xu Chen, 2022, AAAI.

MHER: Model-based Hindsight Experience Replay pdf

Yali Du, Rui Yang, Lei Han, 2021, ArXiv.

Reliable Facility Systems Design Subject to Edge Failures: Based on the Uncapacitated Fixed-Charge Location Problem

Zongtian Wei, Yali Du, Yuangang Pan, 2014 .

Towards Query Efficient Black-box Attacks: An Input-free Perspective

Jinfeng Yi, Dacheng Tao, Jun Cheng, 2018, AISec@CCS.

A Multi-Agent Framework for Recommendation with Heterogeneous Sources

Kun Gai, Yali Du, Xu Chen, 2023, 2023 International Joint Conference on Neural Networks (IJCNN).

STAS: Spatial-Temporal Return Decomposition for Multi-agent Reinforcement Learning

Yaodong Yang, Yali Du, Sirui Chen, 2023, ArXiv.

Learning Multi-Agent Communication with Policy Fingerprints for Adaptive Traffic Signal Control

Meng Fang, Gangyan Xu, Yali Du, 2020, 2020 IEEE 16th International Conference on Automation Science and Engineering (CASE).

Stay Moral and Explore: Learn to Behave Morally in Text-based Games

Meng Fang, Yunqiu Xu, Yali Du, 2023, ICLR.

Replace Scoring with Arrangement: A Contextual Set-to-Arrangement Framework for Learning-to-Rank

Weinan Zhang, J. Wang, Yali Du, 2023, 2308.02860.

Is Nash Equilibrium Approximator Learnable?

Yaodong Yang, Jun Wang, Dinghuai Zhang, 2021, AAMAS.

Privileged Matrix Factorization for Collaborative Filtering

Dacheng Tao, Chang Xu, Yali Du, 2017, IJCAI.

Pre-training Code Representation with Semantic Flow Graph for Effective Bug Localization

Zhongxing Yu, Yali Du, 2023, ESEC/SIGSOFT FSE.

Safe multi-agent reinforcement learning for multi-robot control

Yaodong Yang, Yali Du, Alois Knoll, 2023, Artif. Intell..

GRD: A Generative Approach for Interpretable Reward Redistribution in Reinforcement Learning

Ziyan Wang, Jun Wang, Mykola Pechenizkiy, 2023, ArXiv.

Diversity-augmented intrinsic motivation for deep reinforcement learning

A. Bharath, Meng Fang, Yali Du, 2021, Neurocomputing.

Tackling Cooperative Incompatibility for Zero-Shot Human-AI Coordination

Yali Du, Xinbing Wang, Ying Wen, 2023, ArXiv.

Cooperative Open-ended Learning Framework for Zero-shot Coordination

Yali Du, Xinbing Wang, Ying Wen, 2023, ICML.

Replace Scoring with Arrangement: A Contextual Set-to-Arrangement Framework for Learning-to-Rank

Weinan Zhang, J. Wang, Yali Du, 2023, arXiv.org.

Interpretable Reward Redistribution in Reinforcement Learning: A Causal Approach

Jun Wang, Mykola Pechenizkiy, Biwei Huang, 2023, NeurIPS.

ChessGPT: Bridging Policy Learning and Language Modeling

Kun Shao, Jun Wang, Hongrui Tang, 2023, NeurIPS.

Signal Instructed Coordination in Cooperative Multi-agent Reinforcement Learning

Weinan Zhang, Yong Yu, Yali Du, 2019, DAI.

Interpretable Dimensionality Reduction by Feature Preserving Manifold Approximation and Projection

Yali Du, Yang Yang, Hongjian Sun, 2022, ArXiv.

Enhancing the Robustness of Neural Collaborative Filtering Systems Under Malicious Attacks

Jinfeng Yi, Dacheng Tao, Jun Cheng, 2019, IEEE Transactions on Multimedia.

Invariant Learning via Probability of Sufficient and Necessary Causes

Jun Wang, Yali Du, Mengyue Yang, 2023, NeurIPS.