Search多智能体强化学习returned 10 results

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1

Autonomous cooperative search-and-rescue method for UAV swarms with exploration–rescue trade-off

面向探索—救援权衡的无人机集群自主协同搜救方法

Xu Zhou

Li Guanxiong

Deng Xiaogang

UAV swarm

multi-agent reinforcement learning

autonomous search and rescue

Gaussian Markov random field

Accepted Paper No. 7, 2026 : doi:10.19734/j.issn.1001-3695.2025.12.0459

2

Distributed unmanned swarm self-organizing formation framework based on local information

局部信息下的分布式无人集群自组织编队框架

Cui Zihan

Liu Wei

Xie Wanzhen

Hu Diwei

distributed unmanned swarm

local neighborhood information

complex networks

multi-agent reinforcement learning

decentralized strategy optimization

self-organizing formation

No. 1, 2026 : 216-226 doi:10.19734/j.issn.1001-3695.2025.06.0175

3

Dynamic incentive mechanism for federated learning incorporating data freshness

一种融合数据新鲜度的联邦学习动态激励机制

Dawulie Jinensibieke

Wang Yi

Zhou Xi

Wang Xiaobo

federated learning

incentive mechanism

multi-agent reinforcement learning

data freshness

No. 8, 2025 : 2497-2502 doi:10.19734/j.issn.1001-3695.2025.01.0012

4

Highway on-ramp merging human-like decision based on BC-MAAC algorithm

基于BC-MAAC算法的高速入口匝道合并类人决策

Yu Di

Zhang Changwen

Xiong Shuangshuang

Liu Pengyou

connected autonomous vehicle

intelligent decision-making

highway on-ramp merging

behavior cloning

multi-agent reinforcement learning

No. 1, 2025 : 117-124 doi:10.19734/j.issn.1001-3695.2024.06.0204

5

Attention-based multi-agent cooperation with limited communication

通信受限下基于注意力的多智能体协同算法

Yang Guisong

Wei Manzhou

multi-agent system

multi-agent cooperation

multi-agent reinforcement learning

limited communication resource

cooperation algorithm

No. 11, 2024 : 3426-3432 doi:10.19734/j.issn.1001-3695.2024.03.0091

6

Research on multi-agent hierarchical reinforcement learning skill discovery method based on weighted value function decomposition

基于加权值函数分解的多智能体分层强化学习技能发现方法

Zou Qijie

Li Wenxue

Gao Bing

Zhao Xiling

Zhang Rubo

multi-agent reinforcement learning

hierarchical reinforcement learning

centralized training decentralized execution

value function decomposition

skill discovery

No. 9, 2023 : 2743-2748,2754 doi:10.19734/j.issn.1001-3695.2022.12.0795

7

CTS: traffic lights multi-agent reinforcement learning organization scheme based on congestion trace source algorithm

CTS: 基于拥堵溯源算法的信号灯多智能体强化学习组织方案

Tian Chao

Zheng Jiaoling

multi agent

reinforcement learning

SUMO

traffic lights

digitalization of congestion information

No. 1, 2023 : 178-184 doi:10.19734/j.issn.1001-3695.2022.06.0297

8

Multi-agent reinforcement learning based on observation relation extraction

基于观测空间关系提取的多智能体强化学习

Xu Shuqing

Zang Chuanzhi

Wang Xin

Liu Ding

Liu Yuqi

Zeng Peng

multi-agent

reinforcement learning

attention mechanism

observation

No. 10, 2022 : 2957-2961 doi:10.19734/j.issn.1001-3695.2022.03.0138

9

Embedding rules into multiagent reinforcement learning based on iterative training

基于组合训练的规则嵌入多智能体强化学习方法

Li Yuan

Xu Xinhai

multi-agent reinforcement learning

rule embedding

rule selection model

iterative training

No. 3, 2022 : 802-806 doi:10.19734/j.issn.1001-3695.2021.09.0351

10

Research on collaborative strategy based on GAED-MADDPG multi-agent reinforcement learning

基于GAED-MADDPG多智能体强化学习的协作策略研究

Zou Changjie

Zheng Jiaoling

Zhang Zhonglei

reinforcement learning

group collaboration

deep learning

group wisdom

No. 12, 2020 : 3656-3661 doi:10.19734/j.issn.1001-3695.2019.09.0546