Feudal Multi-Agent Hierarchies for Cooperative Reinforcement Learning

24 January 2019

Papers citing "Feudal Multi-Agent Hierarchies for Cooperative Reinforcement Learning"

10 / 10 papers shown

Title
Implicitly Aligning Humans and Autonomous Agents through Shared Task Abstractions Stéphane Aroca-Ouellette Miguel Aroca-Ouellette K. Wense A. Roncone 39 0 0 07 May 2025
AutoPrep: Natural Language Question-Aware Data Preparation with a Multi-Agent Framework Meihao Fan Ju Fan Nan Tang Lei Cao Guoliang Li Xiaoyong Du LMTD 123 0 0 10 Dec 2024
Learning control strategy in soft robotics through a set of configuration spaces Etienne Ménager Christian Duriez 40 0 0 21 Feb 2024
LLM Multi-Agent Systems: Challenges and Open Problems Shanshan Han Qifan Zhang Yuhang Yao Weizhao Jin Zhaozhuo Xu LLMAG 47 36 0 05 Feb 2024
Multi-Agent Reinforcement Learning for Connected and Automated Vehicles Control: Recent Advancements and Future Prospects Min Hua Dong Chen Xinda Qi Kun Jiang Z. Liu Quan Zhou Hongming Xu 23 10 0 18 Dec 2023
Learning to Guide and to Be Guided in the Architect-Builder Problem Paul Barde Tristan Karch Derek Nowrouzezahrai Clément Moulin-Frier C. Pal Pierre-Yves Oudeyer 41 4 0 14 Dec 2021
HAVEN: Hierarchical Cooperative Multi-Agent Reinforcement Learning with Dual Coordination Mechanism Zhiwei Xu Yunpeng Bai Bin Zhang Dapeng Li Guoliang Fan 22 23 0 14 Oct 2021
Grounding Artificial Intelligence in the Origins of Human Behavior Eleni Nisioti Clément Moulin-Frier AI4CE 39 5 0 15 Dec 2020
RODE: Learning Roles to Decompose Multi-Agent Tasks Tonghan Wang Tarun Gupta Anuj Mahajan Bei Peng Shimon Whiteson Chongjie Zhang OffRL 27 203 0 04 Oct 2020
Improving Coordination in Small-Scale Multi-Agent Deep Reinforcement Learning through Memory-driven Communication E. Pesce Giovanni Montana 17 71 0 12 Jan 2019