Scalability Bottlenecks in Multi-Agent Reinforcement Learning Systems

10 February 2023

Papers citing "Scalability Bottlenecks in Multi-Agent Reinforcement Learning Systems"

8 / 8 papers shown

Title
Emergence of Roles in Robotic Teams with Model Sharing and Limited Communication Ian O'Flynn Harun Šiljak 26 0 0 01 May 2025
Task Offloading in Vehicular Edge Computing using Deep Reinforcement Learning: A Survey Ashab Uddin Ahmed Hamdi Sakr Ning Zhang OffRL 62 0 0 10 Feb 2025
SwiftRL: Towards Efficient Reinforcement Learning on Real Processing-In-Memory Systems Kailash Gogineni Sai Santosh Dayapule Juan Gómez Luna Karthikeya Gogineni Peng Wei Tian-Shing Lan Mohammad Sadrosadati Onur Mutlu Guru Venkataramani 50 10 0 07 May 2024
AccMER: Accelerating Multi-Agent Experience Replay with Cache Locality-aware Prioritization Kailash Gogineni Yongsheng Mei Peng Wei Tian-Shing Lan Guru Venkataramani 18 13 0 31 May 2023
Towards Efficient Multi-Agent Learning Systems Kailash Gogineni Peng Wei Tian-Shing Lan Guru Venkataramani 27 4 0 22 May 2023
MAC-PO: Multi-Agent Experience Replay via Collective Priority Optimization Yongsheng Mei Hanhan Zhou Tian-Shing Lan Guru Venkataramani Peng Wei 39 38 0 21 Feb 2023
Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and Pipelining Tim Kaler Nickolas Stathas Anne Ouyang A. Iliopoulos Tao B. Schardl C. E. Leiserson Jie Chen GNN 70 53 0 16 Oct 2021
Multi-Agent Reinforcement Learning for Problems with Combined Individual and Team Reward Hassam Sheikh Ladislau Bölöni 39 36 0 24 Mar 2020