Haifeng Zhang

Orcid: 0000-0002-2114-9432

Affiliations:

Chinese Academy of Sciences, Institute of Automation, Beijing, China
University College London, London, UK
Peking University, Beijing, China (PhD 2018)

According to our database¹, Haifeng Zhang authored at least 34 papers between 2015 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

Learning Macroeconomic Policies based on Microfoundations: A Stackelberg Mean Field Game Approach.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Large sequence models for sequential decision-making: a survey.

[BibT_eX]

[DOI]

Frontiers Comput. Sci., December, 2023

Offline Pre-trained Multi-agent Decision Transformer.

[BibT_eX]

[DOI]

Mach. Intell. Res., April, 2023

Large Language Models Play StarCraft II: Benchmarks and A Chain of Summarization Approach.

[BibT_eX]

[DOI]

CoRR, 2023

Ask more, know better: Reinforce-Learned Prompt Questions for Decision Making with Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

TaxAI: A Dynamic Economic Simulator and Benchmark for Multi-Agent Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Boosting Studies of Multi-Agent Reinforcement Learning on Google Research Football Environment: the Past, Present, and Future.

[BibT_eX]

[DOI]

CoRR, 2023

An Empirical Study on Google Research Football Multi-agent Scenarios.

[BibT_eX]

[DOI]

CoRR, 2023

2022

Contextual Transformer for Offline Meta Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Joint Caching and Transmission in the Mobile Edge Network: A Multi-Agent Learning Approach.

[BibT_eX]

[DOI]

CoRR, 2022

A Theoretical Understanding of Gradient Bias in Meta-Reinforcement Learning.

[BibT_eX]

[DOI]

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

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

Settling the Bias and Variance of Meta-Gradient Estimation for Meta-Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2021

Offline Pre-trained Multi-Agent Decision Transformer: One Big Sequence Model Tackles All SMAC Tasks.

[BibT_eX]

[DOI]

CoRR, 2021

A Game-Theoretic Approach for Improving Generalization Ability of TSP Solvers.

[BibT_eX]

[DOI]

CoRR, 2021

Settling the Variance of Multi-Agent Policy Gradients.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 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

Joint Caching and Transmission in the Mobile Edge Network: An Multi-Agent Learning Approach.

[BibT_eX]

[DOI]

Proceedings of the IEEE Global Communications Conference, 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

Bi-Level Actor-Critic for Multi-Agent Coordination.

[BibT_eX]

[DOI]

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

2019

Signal Instructed Coordination in Team Competition.

[BibT_eX]

[DOI]

CoRR, 2019

Learn to Navigate: Cooperative Path Planning for Unmanned Surface Vehicles Using Deep Reinforcement Learning.

[BibT_eX]

[DOI]

IEEE Access, 2019

Layout Design for Intelligent Warehouse by Evolution With Fitness Approximation.

[BibT_eX]

[DOI]

IEEE Access, 2019

Teaching AI Algorithms with Games Including Mahjong and FightTheLandlord on the Botzone Online Platform.

[BibT_eX]

[DOI]

Proceedings of the ACM Conference on Global Computing Education, 2019

2018

Botzone: an online multi-agent competitive platform for AI education.

[BibT_eX]

[DOI]

Proceedings of the 23rd Annual ACM Conference on Innovation and Technology in Computer Science Education, 2018

Learning to Design Games: Strategic Environments in Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017

Learning to Design Games: Strategic Environments in Deep Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2017

Managing Risk of Bidding in Display Advertising.

[BibT_eX]

[DOI]

Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

ICFVR 2017: 3rd international competition on finger vein recognition.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Joint Conference on Biometrics, 2017

Botzone: a competitive and interactive platform for game AI education.

[BibT_eX]

[DOI]

Proceedings of the ACM Turing 50th Celebration Conference, 2017

2016

User Response Learning for Directly Optimizing Campaign Performance in Display Advertising.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015

Space-Consistent Game Equivalence Detection in General Game Playing.

[BibT_eX]

[DOI]

Haifeng Zhang

Dangyi Liu

Wenxin Li

Proceedings of the Computer Games - Fourth Workshop on Computer Games, 2015

Haifeng Zhang

Timeline

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