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Fengxiang Guo

Kunming University of Science and Technology

Kunming Yunnan China

Kunming

China

SCHOLARLY PAPERS

3

DOWNLOADS

126

TOTAL CITATIONS

0

Scholarly Papers (3)

1.

Heterogeneous Multi-Agent Reinforcement Learning for Large-Scale Cooperative Control of Connected Vehicles and Traffic Lights in Mixed Traffic Environments

Number of pages: 35 Posted: 12 Apr 2025
Kunming University of Science and Technology, Kunming University of Science and Technology, Kunming University of Science and Technology, Kunming University of Science and Technology, Kunming University of Science and Technology, Tongji University, Kunming University of Science and Technology and affiliation not provided to SSRN
Downloads 45 (1,121,190)

Abstract:

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Heterogeneous multi-agent reinforcement learning (HMARL), connected and automated vehicles (CAVs), mixed traffic, potential game (PG), safety projection

2.

A Physics-Informed Learning Framework for Battery State of Health Estimation Based on Expansion Behavior and Autoformer

Number of pages: 21 Posted: 22 Dec 2025
affiliation not provided to SSRN, affiliation not provided to SSRN, Chongqing University, Kunming University of Science and Technology, Kunming University of Science and Technology and affiliation not provided to SSRN
Downloads 43 (1,145,425)

Abstract:

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Lithium-ion battery, State of Health (SOH), battery expansion, Physics-informed learning, Autoformer

3.

Heterogeneous Multi-Agent Reinforcement Learning for Cooperative Control of Vehicles and Traffic Lights in Mixed Traffic Scenarios

Number of pages: 36 Posted: 06 Mar 2025
Kunming University of Science and Technology, Kunming University of Science and Technology, Kunming University of Science and Technology, Kunming University of Science and Technology, Kunming University of Science and Technology, Tongji University, Kunming University of Science and Technology and affiliation not provided to SSRN
Downloads 38 (1,209,354)

Abstract:

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Heterogeneous multi-agent reinforcement learning (HMARL), connected and automated vehicles (CAVs), mixed traffic, potential game (PG), safety projection.