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AC2C: Adaptively Controlled Two-Hop Communication for Multi-Agent Reinforcement Learning
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AC2C: Adaptively Controlled Two-Hop Communication for Multi-Agent Reinforcement Learning

Adaptive Agents and Multi-Agent Systems (AAMAS), 2023
Xuefeng Wang
Xinran Li
Jiawei Shao
Jun Zhang
ArXiv (abs)PDFHTML

Papers citing "AC2C: Adaptively Controlled Two-Hop Communication for Multi-Agent Reinforcement Learning"

2 / 2 papers shown
Title
Continuous-Time Value Iteration for Multi-Agent Reinforcement Learning
Continuous-Time Value Iteration for Multi-Agent Reinforcement Learning
Xuefeng Wang
Lei Zhang
Henglin Pu
Ahmed H. Qureshi
Husheng Li
36
0
0
11 Sep 2025
Curriculum Learning With Counterfactual Group Relative Policy Advantage For Multi-Agent Reinforcement Learning
Curriculum Learning With Counterfactual Group Relative Policy Advantage For Multi-Agent Reinforcement Learning
Weiqiang Jin
Hongyang Du
Guizhong Liu
Dong In Kim
46
0
0
09 Jun 2025

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