Ming Zhou

Orcid: 0000-0002-5701-1996

Affiliations:

Shanghai Jiao Tong University, Department of Computer Science and Engineering, Shanghai, China

According to our database¹, Ming Zhou authored at least 17 papers between 2018 and 2023.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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PhD thesis

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Bibliography

2023

MALib: A Parallel Framework for Population-based Multi-agent Reinforcement Learning.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2023

2022

On Realization of Intelligent Decision-Making in the Real World: A Foundation Decision Model Perspective.

[BibT_eX]

[DOI]

CoRR, 2022

Efficient Policy Space Response Oracles.

[BibT_eX]

[DOI]

CoRR, 2022

Promoting Quality and Diversity in Population-based Reinforcement Learning via Hierarchical Trajectory Space Exploration.

[BibT_eX]

[DOI]

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021

MALib: A Parallel Framework for Population-based Multi-agent Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2021

Model-based Multi-agent Policy Optimization with Adaptive Opponent-wise Rollouts.

[BibT_eX]

[DOI]

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

2020

SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving.

[BibT_eX]

[DOI]

CoRR, 2020

Multi-Agent Interactions Modeling with Correlated Policies.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

SMARTS: An Open-Source Scalable Multi-Agent RL Training School for Autonomous Driving.

[BibT_eX]

[DOI]

Proceedings of the 4th Conference on Robot Learning, 2020

2019

Signal Instructed Coordination in Team Competition.

[BibT_eX]

[DOI]

CoRR, 2019

Factorized Q-learning for large-scale multi-agent systems.

[BibT_eX]

[DOI]

Proceedings of the First International Conference on Distributed Artificial Intelligence, 2019

Generative adversarial exploration for reinforcement learning.

[BibT_eX]

[DOI]

Proceedings of the First International Conference on Distributed Artificial Intelligence, 2019

Multi-Agent Reinforcement Learning for Order-dispatching via Order-Vehicle Distribution Matching.

[BibT_eX]

[DOI]

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

CoRide: Joint Order Dispatching and Fleet Management for Multi-Scale Ride-Hailing Platforms.

[BibT_eX]

[DOI]

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018

Factorized Q-Learning for Large-Scale Multi-Agent Systems.

[BibT_eX]

[DOI]

CoRR, 2018

Mean Field Multi-Agent Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

MAgent: A Many-Agent Reinforcement Learning Platform for Artificial Collective Intelligence.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Ming Zhou

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