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2011.02373
Cited By

Moving Forward in Formation: A Decentralized Hierarchical Learning
Approach to Multi-Agent Moving Together

Moving Forward in Formation: A Decentralized Hierarchical Learning Approach to Multi-Agent Moving Together

4 November 2020

Licheng Wen

Xuemeng Yang

ArXiv (abs)PDF HTML

Papers citing "Moving Forward in Formation: A Decentralized Hierarchical Learning Approach to Multi-Agent Moving Together"

2 / 2 papers shown

An Analysis of Constraint-Based Multi-Agent Pathfinding Algorithms

An Analysis of Constraint-Based Multi-Agent Pathfinding AlgorithmsIEEE Transactions on robotics (IEEE TRO), 2025

124

0

0

23 Nov 2025

Adaptive Value Decomposition with Greedy Marginal Contribution
Computation for Cooperative Multi-Agent Reinforcement Learning

Adaptive Value Decomposition with Greedy Marginal Contribution Computation for Cooperative Multi-Agent Reinforcement LearningAdaptive Agents and Multi-Agent Systems (AAMAS), 2023

Changjie Fan

120

4

0

14 Feb 2023

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