Deep Multiagent Reinforcement Learning: Challenges and Directions

Deep Multiagent Reinforcement Learning: Challenges and Directions

29 June 2021

Thomas Bäck

Anna V. Kononova

Papers citing "Deep Multiagent Reinforcement Learning: Challenges and Directions"

10 / 10 papers shown

Title
Learning Collusion in Episodic, Inventory-Constrained Markets Paul Friedrich Barna Pásztor Giorgia Ramponi 16 1 0 24 Oct 2024
Cooperative and Asynchronous Transformer-based Mission Planning for Heterogeneous Teams of Mobile Robots Milad Farjadnasab Shahin Sirouspour 33 0 0 08 Oct 2024
Reinforcement Learning for Sustainable Energy: A Survey Koen Ponse Felix Kleuker Márton Fejér Álvaro Serra-Gómez Aske Plaat Thomas M. Moerland OffRL AI4CE 38 1 0 26 Jul 2024
Knowledge-Informed Auto-Penetration Testing Based on Reinforcement Learning with Reward Machine Yuanliang Li Hanzheng Dai Jun Yan 25 3 0 24 May 2024
Human-Machine Teaming for UAVs: An Experimentation Platform Laila El Moujtahid S. Gottipati Clodéric Mars Matthew E. Taylor 16 1 0 18 Dec 2023
Effective Multi-Agent Deep Reinforcement Learning Control with Relative Entropy Regularization Chenyang Miao Yunduan Cui Huiyun Li Xin Wu 24 5 0 26 Sep 2023
Learning Latent Representations to Co-Adapt to Humans Sagar Parekh Dylan P. Losey 18 12 0 19 Dec 2022
Value-Decomposition Multi-Agent Actor-Critics Jianyu Su Stephen C. Adams Peter A. Beling 64 101 0 24 Jul 2020
Multi-Agent Reinforcement Learning for Problems with Combined Individual and Team Reward Hassam Sheikh Ladislau Bölöni 24 36 0 24 Mar 2020
MAVEN: Multi-Agent Variational Exploration Anuj Mahajan Tabish Rashid Mikayel Samvelyan Shimon Whiteson DRL 133 355 0 16 Oct 2019