Yali Du

Orcid: 0000-0001-5683-2621

Affiliations:

King's College London, London, UK
University of Technology Sydney, Faculty of Engineering and Information Technology, Ultimo, NSW, Australia (PhD 2019)

According to our database¹, Yali Du authored at least 73 papers between 2017 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

Aligning Individual and Collective Objectives in Multi-Agent Cooperation.

[BibT_eX]

[DOI]

CoRR, 2024

All Language Models Large and Small.

[BibT_eX]

[DOI]

Zhixun Chen

Yali Du

David Mguni

CoRR, 2024

Natural Language Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Learning the Expected Core of Strictly Convex Stochastic Cooperative Games.

[BibT_eX]

[DOI]

CoRR, 2024

Safe Reinforcement Learning with Free-form Natural Language Constraints and Pre-Trained Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Human-Guided Moral Decision Making in Text-Based Games.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

TAPE: Leveraging Agent Topology for Cooperative Multi-Agent Policy Gradient.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

STAS: Spatial-Temporal Return Decomposition for Solving Sparse Rewards Problems in Multi-agent Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

A human-centered safe robot reinforcement learning framework with interactive behaviors.

[BibT_eX]

[DOI]

Frontiers Neurorobotics, June, 2023

Safe multi-agent reinforcement learning for multi-robot control.

[BibT_eX]

[DOI]

Artif. Intell., June, 2023

Shared dynamics learning for large-scale traveling salesman problem.

[BibT_eX]

[DOI]

Adv. Eng. Informatics, April, 2023

Cooperation on the Fly: Exploring Language Agents for Ad Hoc Teamwork in the Avalon Game.

[BibT_eX]

[DOI]

CoRR, 2023

A Review of Cooperation in Multi-agent Learning.

[BibT_eX]

[DOI]

CoRR, 2023

MACCA: Offline Multi-agent Reinforcement Learning with Causal Credit Assignment.

[BibT_eX]

[DOI]

CoRR, 2023

Resolving social dilemmas with minimal reward transfer.

[BibT_eX]

[DOI]

CoRR, 2023

Invariant Learning via Probability of Sufficient and Necessary Causes.

[BibT_eX]

[DOI]

CoRR, 2023

ChessGPT: Bridging Policy Learning and Language Modeling.

[BibT_eX]

[DOI]

CoRR, 2023

Zero-shot Preference Learning for Offline RL via Optimal Transport.

[BibT_eX]

[DOI]

CoRR, 2023

Tackling Cooperative Incompatibility for Zero-Shot Human-AI Coordination.

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

Invariant Learning via Probability of Sufficient and Necessary Causes.

[BibT_eX]

[DOI]

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

An Efficient End-to-End Training Approach for Zero-Shot Human-AI Coordination.

[BibT_eX]

[DOI]

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

ChessGPT: Bridging Policy Learning and Language Modeling.

[BibT_eX]

[DOI]

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

Reduced Policy Optimization for Continuous Control with Hard Constraints.

[BibT_eX]

[DOI]

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

Interpretable Reward Redistribution in Reinforcement Learning: A Causal Approach.

[BibT_eX]

[DOI]

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

A Multi-Agent Framework for Recommendation with Heterogeneous Sources.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2023

Cooperative Open-ended Learning Framework for Zero-Shot Coordination.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

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

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

TieComm: Learning a Hierarchical Communication Topology Based on Tie Theory.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2023

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

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

Is Nash Equilibrium Approximator Learnable?

[BibT_eX]

[DOI]

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

Cooperative Multi-Agent Learning in a Complex World: Challenges and Solutions.

[BibT_eX]

[DOI]

Yali Du

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

2022

Reinforcement Learning With Multiple Relational Attention for Solving Vehicle Routing Problems.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2022

Diversity-augmented intrinsic motivation for deep reinforcement learning.

[BibT_eX]

[DOI]

Neurocomputing, 2022

Interpretable Dimensionality Reduction by Feature Preserving Manifold Approximation and Projection.

[BibT_eX]

[DOI]

CoRR, 2022

Contextual Transformer for Offline Meta Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Fully Decentralized Model-based Policy Optimization for Networked Systems.

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

Reasoning and interaction for social artificial intelligence.

[BibT_eX]

[DOI]

Albert Meroño-Peñuela

AI Commun., 2022

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

[BibT_eX]

[DOI]

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

Scalable Model-based Policy Optimization for Decentralized Networked Systems.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Rethinking Goal-Conditioned Supervised Learning and Its Connection to Offline RL.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

GCS: Graph-Based Coordination Strategy for Multi-Agent Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

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

[BibT_eX]

[DOI]

Ilias Kazantzidis

Timothy J. Norman

Yali Du

Christopher T. Freeman

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

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

[BibT_eX]

[DOI]

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

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

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Learning to Compute Approximate Nash Equilibrium for Normal-form Games.

[BibT_eX]

[DOI]

CoRR, 2021

MHER: Model-based Hindsight Experience Replay.

[BibT_eX]

[DOI]

CoRR, 2021

Learning to Shape Rewards using a Game of Switching Controls.

[BibT_eX]

[DOI]

CoRR, 2021

Reinforcement Recommendation with User Multi-aspect Preference.

[BibT_eX]

[DOI]

Proceedings of the WWW '21: The Web Conference 2021, 2021

Ordering-Based Causal Discovery with Reinforcement Learning.

[BibT_eX]

[DOI]

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

Learning in Nonzero-Sum Stochastic Games with Potentials.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

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

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Generalization in Text-based Games via Hierarchical Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Signal Instructed Coordination in Cooperative Multi-agent Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Distributed Artificial Intelligence - Third International Conference, 2021

Learning Correlated Communication Topology in Multi-Agent Reinforcement learning.

[BibT_eX]

[DOI]

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

2020

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

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

Proceedings of the 16th IEEE International Conference on Automation Science and Engineering, 2020

2019

Design and evaluation of factorization-based algorithms for user preference analysis

[BibT_eX]

[DOI]

Yali Du

PhD thesis, 2019

Enhancing the Robustness of Neural Collaborative Filtering Systems Under Malicious Attacks.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2019

Curriculum-guided Hindsight Experience Replay.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

Exploring Content-based Video Relevance for Video Click-Through Rate Prediction.

[BibT_eX]

[DOI]

Proceedings of the 27th ACM International Conference on Multimedia, 2019

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

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Matrix Factorization for Collaborative Budget Allocation.

[BibT_eX]

[DOI]

Yali Du

Chang Xu

Dacheng Tao

IEEE Trans Autom. Sci. Eng., 2018

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

[BibT_eX]

[DOI]

Proceedings of the 11th ACM Workshop on Artificial Intelligence and Security, 2018

2017

Collaborative Rating Allocation.

[BibT_eX]

[DOI]

Yali Du

Chang Xu

Dacheng Tao

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

Privileged Matrix Factorization for Collaborative Filtering.

[BibT_eX]

[DOI]

Yali Du

Chang Xu

Dacheng Tao

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

Yali Du

Timeline

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