A Cooperative Multi-Agent Reinforcement Learning Framework for Resource
Balancing in Complex Logistics Network

A Cooperative Multi-Agent Reinforcement Learning Framework for Resource Balancing in Complex Logistics Network

2 March 2019

Jiang Bian

Papers citing "A Cooperative Multi-Agent Reinforcement Learning Framework for Resource Balancing in Complex Logistics Network"

8 / 8 papers shown

Title
CORD: Generalizable Cooperation via Role Diversity Kanefumi Matsuyama Kefan Su Jiangxing Wang Deheng Ye Zongqing Lu 45 0 0 04 Jan 2025
Best Possible Q-Learning Jiechuan Jiang Zongqing Lu OffRL 33 5 0 02 Feb 2023
MA2QL: A Minimalist Approach to Fully Decentralized Multi-Agent Reinforcement Learning Kefan Su Siyuan Zhou Jiechuan Jiang Chuang Gan Xiangjun Wang Zongqing Lu OffRL 38 6 0 17 Sep 2022
An Introduction to Multi-Agent Reinforcement Learning and Review of its Application to Autonomous Mobility Lukas M. Schmidt Johanna Brosig Axel Plinge Bjoern M. Eskofier Christopher Mutschler 40 33 0 15 Mar 2022
CARL: A Benchmark for Contextual and Adaptive Reinforcement Learning C. Benjamins Theresa Eimer Frederik Schubert André Biedenkapp Bodo Rosenhahn Frank Hutter Marius Lindauer OffRL 41 23 0 05 Oct 2021
Universal Trading for Order Execution with Oracle Policy Distillation Yuchen Fang Kan Ren Weiqing Liu Dong Zhou Weinan Zhang Jiang Bian Yong Yu Tie-Yan Liu OffRL 29 45 0 28 Jan 2021
Masked Contrastive Representation Learning for Reinforcement Learning Jinhua Zhu Yingce Xia Lijun Wu Jiajun Deng Wen-gang Zhou Tao Qin Houqiang Li SSL OffRL 34 55 0 15 Oct 2020
Learning Fairness in Multi-Agent Systems Jiechuan Jiang Zongqing Lu 16 69 0 31 Oct 2019