Jingchen Li

IEEE Trans Autom. Sci. Eng., October, 2024

A Decentralized Communication Framework Based on Dual-Level Recurrence for Multiagent Reinforcement Learning.

[BibT_eX]

[DOI]

IEEE Trans. Cogn. Dev. Syst., April, 2024

DeRL: Coupling Decomposition in Action Space for Reinforcement Learning Task.

[BibT_eX]

[DOI]

IEEE Trans. Emerg. Top. Comput. Intell., February, 2024

Dynamic preference inference network: Improving sample efficiency for multi-objective reinforcement learning by preference estimation.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2024

Cournot Policy Model: Rethinking centralized training in multi-agent reinforcement learning.

[BibT_eX]

[DOI]

Inf. Sci., 2024

Using digital twin to enhance Sim2real transfer for reinforcement learning in 3C assembly.

[BibT_eX]

[DOI]

Ind. Robot, 2024

Lightweight and fast visual detection method for 3C assembly.

[BibT_eX]

[DOI]

Displays, 2024

2023

A multi-agent reinforcement learning method with curriculum transfer for large-scale dynamic traffic signal control.

[BibT_eX]

[DOI]

Xuesi Li

Appl. Intell., September, 2023

Dyna-Validator: A Model-based Reinforcement Learning Method with Validated Simulated Experiences.

[BibT_eX]

[DOI]

Int. J. Comput. Commun. Control, August, 2023

Lateral Transfer Learning for Multiagent Reinforcement Learning.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., March, 2023

Mix-attention approximation for homogeneous large-scale multi-agent reinforcement learning.

[BibT_eX]

[DOI]

Shike Yang

Neural Comput. Appl., February, 2023

Path Planning of Randomly Scattering Waypoints for Wafer Probing Based on Deep Attention Mechanism.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Syst., 2023

2022

Using Fuzzy Logic to Learn Abstract Policies in Large-Scale Multiagent Reinforcement Learning.

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., 2022

An adaptive multi-sensor visual attention model.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2022

A behavior fusion method based on inverse reinforcement learning.

[BibT_eX]

[DOI]

Inf. Sci., 2022

A collaboration of multi-agent model using an interactive interface.

[BibT_eX]

[DOI]

Inf. Sci., 2022

Multi-agent reinforcement learning by the actor-critic model with an attention interface.

[BibT_eX]

[DOI]

Neurocomputing, 2022

A Decentralized Communication Framework based on Dual-Level Recurrence for Multi-Agent Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2022

2021

Attentive Hybrid Recurrent Neural Networks for sequential recommendation.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2021

Graph convolutional network-based reinforcement learning for tasks offloading in multi-access edge computing.

[BibT_eX]

[DOI]

Multim. Tools Appl., 2021

An explainable ensemble feedforward method with Gaussian convolutional filter.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2021

Decentralized Offloading Strategies Based on Reinforcement Learning for Multi-Access Edge Computing.

[BibT_eX]

[DOI]

Inf., 2021

Multi-Agent Reward-Iteration Fuzzy Q-Learning.

[BibT_eX]

[DOI]

Int. J. Fuzzy Syst., 2021

A Fuzzy Curiosity-Driven Mechanism for Multi-Agent Reinforcement Learning.

[BibT_eX]

[DOI]

Int. J. Fuzzy Syst., 2021

2020

Should Kernels Be Trained in CNN?- a Paradigm of AG-Net.

[BibT_eX]

[DOI]