Jiangcheng Zhu

Orcid: 0000-0002-6610-721X

According to our database1, Jiangcheng Zhu authored at least 21 papers between 2016 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2024
CTDS: Centralized Teacher With Decentralized Student for Multiagent Reinforcement Learning.
IEEE Trans. Games, March, 2024

Yi: Open Foundation Models by 01.AI.
CoRR, 2024

2023
ASN: action semantics network for multiagent reinforcement learning.
Auton. Agents Multi Agent Syst., October, 2023

JiangJun: Mastering Xiangqi by Tackling Non-Transitivity in Two-Player Zero-Sum Games.
CoRR, 2023

An Empirical Study on Google Research Football Multi-agent Scenarios.
CoRR, 2023

Learnable Behavior Control: Breaking Atari Human World Records via Sample-Efficient Behavior Selection.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Learning to Shape Rewards Using a Game of Two Partners.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
CTDS: Centralized Teacher with Decentralized Student for Multi-Agent Reinforcement Learning.
CoRR, 2022

Revisiting QMIX: Discriminative Credit Assignment by Gradient Entropy Regularization.
CoRR, 2022

LDSA: Learning Dynamic Subtask Assignment in Cooperative Multi-Agent Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

LIGS: Learnable Intrinsic-Reward Generation Selection for Multi-Agent Learning.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
An Optimal Resource Allocator of Elastic Training for Deep Learning Jobs on Cloud.
CoRR, 2021

Learning to Shape Rewards using a Game of Switching Controls.
CoRR, 2021

Look Before You Leap: Safe Model-Based Reinforcement Learning with Human Intervention.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2019
Hierarchical Decision and Control for Continuous Multitarget Problem: Policy Evaluation With Action Delay.
IEEE Trans. Neural Networks Learn. Syst., 2019

Object detection and localization in 3D environment by fusing raw fisheye image and attitude data.
J. Vis. Commun. Image Represent., 2019

Model error correction in data assimilation by integrating neural networks.
Big Data Min. Anal., 2019

Exploratory Analysis for Big Social Data Using Deep Network.
IEEE Access, 2019

2018
Downside Hemisphere Object Detection and Localization of MAV by Fisheye Camera.
Proceedings of the 15th International Conference on Control, 2018

2017
Air-to-ground shepherd problem: An action-delay reinforcement learning approach.
Proceedings of the 2017 American Control Conference, 2017

2016
A testbed for aerial robots formation flight.
Proceedings of the IEEE International Conference on Information and Automation, 2016


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