Dealing With Non-stationarity in Decentralized Cooperative Multi-Agent Deep Reinforcement Learning via Multi-Timescale Learning

6 February 2023

Papers citing "Dealing With Non-stationarity in Decentralized Cooperative Multi-Agent Deep Reinforcement Learning via Multi-Timescale Learning"

6 / 6 papers shown

Title
Leveraging Graph Neural Networks and Multi-Agent Reinforcement Learning for Inventory Control in Supply Chains Niki Kotecha Antonio del Rio Chanona 33 2 0 24 Oct 2024
XP-MARL: Auxiliary Prioritization in Multi-Agent Reinforcement Learning to Address Non-Stationarity Jianye Xu Omar Sobhy Bassam Alrifaee 38 2 0 18 Sep 2024
A semi-centralized multi-agent RL framework for efficient irrigation scheduling B. T. Agyeman Benjamin Decard-Nelson Jinfeng Liu Sirish L. Shah 28 2 0 15 Aug 2024
Independent Policy Gradient Methods for Competitive Reinforcement Learning C. Daskalakis Dylan J. Foster Noah Golowich 62 159 0 11 Jan 2021
Multiagent Value Iteration Algorithms in Dynamic Programming and Reinforcement Learning Dimitri Bertsekas 38 38 0 04 May 2020
Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning Jakob N. Foerster Nantas Nardelli Gregory Farquhar Triantafyllos Afouras Philip H. S. Torr Pushmeet Kohli Shimon Whiteson OffRL 111 595 0 28 Feb 2017