Parameter Sharing with Network Pruning for Scalable Multi-Agent Deep Reinforcement Learning

2 March 2023

Papers citing "Parameter Sharing with Network Pruning for Scalable Multi-Agent Deep Reinforcement Learning"

8 / 8 papers shown

Title
Multi-Agent Actor-Critic with Harmonic Annealing Pruning for Dynamic Spectrum Access Systems George Stamatelis Angelos-Nikolaos Kanatas G. C. Alexandropoulos 53 0 0 19 Mar 2025
FitLight: Federated Imitation Learning for Plug-and-Play Autonomous Traffic Signal Control Yutong Ye Yingbo Zhou Zhusen Liu Xiao Du Hao Zhou Xiang Lian Mingsong Chen 70 0 0 17 Feb 2025
Low-Rank Agent-Specific Adaptation (LoRASA) for Multi-Agent Policy Learning Beining Zhang Aditya Kapoor Mingfei Sun 59 0 0 08 Feb 2025
Value-Based Deep Multi-Agent Reinforcement Learning with Dynamic Sparse Training Pihe Hu Shaolong Li Zhuoran Li L. Pan Longbo Huang 29 0 0 28 Sep 2024
Adaptive parameter sharing for multi-agent reinforcement learning Dapeng Li Na Lou Bin Zhang Zhiwei Xu Guoliang Fan 32 3 0 14 Dec 2023
FP3O: Enabling Proximal Policy Optimization in Multi-Agent Cooperation with Parameter-Sharing Versatility Lang Feng Dong Xing Junru Zhang Gang Pan 34 1 0 08 Oct 2023
A Variational Approach to Mutual Information-Based Coordination for Multi-Agent Reinforcement Learning Woojun Kim Whiyoung Jung Myungsik Cho Young-Jin Sung 32 7 0 01 Mar 2023
MAVEN: Multi-Agent Variational Exploration Anuj Mahajan Tabish Rashid Mikayel Samvelyan Shimon Whiteson DRL 148 355 0 16 Oct 2019