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 39 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
An Empirical Study on Google Research Football Multi-agent Scenarios.
Mach. Intell. Res., June, 2024

Efficient Reinforcement Learning with Large Language Model Priors.
CoRR, 2024

Learning to Discuss Strategically: A Case Study on One Night Ultimate Werewolf.
CoRR, 2024

Correlated Mean Field Imitation Learning.
CoRR, 2024

Learning Macroeconomic Policies based on Microfoundations: A Stackelberg Mean Field Game Approach.
CoRR, 2024

Learning State-Specific Action Masks for Reinforcement Learning.
Algorithms, 2024

Boosting Studies of Multi-Agent Reinforcement Learning on Google Research Football Environment: The Past, Present, and Future.
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

TaxAI: A Dynamic Economic Simulator and Benchmark for Multi-agent Reinforcement Learning.
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023
Large sequence models for sequential decision-making: a survey.
Frontiers Comput. Sci., December, 2023

Offline Pre-trained Multi-agent Decision Transformer.
Mach. Intell. Res., April, 2023

Large Language Models Play StarCraft II: Benchmarks and A Chain of Summarization Approach.
CoRR, 2023

Ask more, know better: Reinforce-Learned Prompt Questions for Decision Making with Large Language Models.
CoRR, 2023

An Efficient End-to-End Training Approach for Zero-Shot Human-AI Coordination.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Contextual Transformer for Offline Meta Reinforcement Learning.
CoRR, 2022

Joint Caching and Transmission in the Mobile Edge Network: A Multi-Agent Learning Approach.
CoRR, 2022

A Theoretical Understanding of Gradient Bias in Meta-Reinforcement Learning.
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.
Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

Learning to Identify Top Elo Ratings: A Dueling Bandits Approach.
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.
CoRR, 2021

Offline Pre-trained Multi-Agent Decision Transformer: One Big Sequence Model Tackles All SMAC Tasks.
CoRR, 2021

A Game-Theoretic Approach for Improving Generalization Ability of TSP Solvers.
CoRR, 2021

Settling the Variance of Multi-Agent Policy Gradients.
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.
Proceedings of the 38th International Conference on Machine Learning, 2021

Joint Caching and Transmission in the Mobile Edge Network: An Multi-Agent Learning Approach.
Proceedings of the IEEE Global Communications Conference, 2021

Signal Instructed Coordination in Cooperative Multi-agent Reinforcement Learning.
Proceedings of the Distributed Artificial Intelligence - Third International Conference, 2021

Learning Correlated Communication Topology in Multi-Agent Reinforcement learning.
Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

2020
Bi-Level Actor-Critic for Multi-Agent Coordination.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Signal Instructed Coordination in Team Competition.
CoRR, 2019

Learn to Navigate: Cooperative Path Planning for Unmanned Surface Vehicles Using Deep Reinforcement Learning.
IEEE Access, 2019

Layout Design for Intelligent Warehouse by Evolution With Fitness Approximation.
IEEE Access, 2019

Teaching AI Algorithms with Games Including Mahjong and FightTheLandlord on the Botzone Online Platform.
Proceedings of the ACM Conference on Global Computing Education, 2019

2018
Botzone: an online multi-agent competitive platform for AI education.
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.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017
Learning to Design Games: Strategic Environments in Deep Reinforcement Learning.
CoRR, 2017

Managing Risk of Bidding in Display Advertising.
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

ICFVR 2017: 3rd international competition on finger vein recognition.
Proceedings of the 2017 IEEE International Joint Conference on Biometrics, 2017

Botzone: a competitive and interactive platform for game AI education.
Proceedings of the ACM Turing 50th Celebration Conference, 2017

2016
User Response Learning for Directly Optimizing Campaign Performance in Display Advertising.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015
Space-Consistent Game Equivalence Detection in General Game Playing.
Proceedings of the Computer Games - Fourth Workshop on Computer Games, 2015


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