A General Learning Framework for Open Ad Hoc Teamwork Using Graph-based Policy Learning

11 October 2022

Papers citing "A General Learning Framework for Open Ad Hoc Teamwork Using Graph-based Policy Learning"

8 / 8 papers shown

Title
Single-Agent Planning in a Multi-Agent System: A Unified Framework for Type-Based Planners Fengming Zhu Fangzhen Lin 75 1 0 13 Feb 2025
Open Human-Robot Collaboration using Decentralized Inverse Reinforcement Learning P. Suresh Siddarth Jain Prashant Doshi Diego Romeres AI4CE 24 2 0 02 Oct 2024
N-Agent Ad Hoc Teamwork C. Wang Arrasy Rahman Ishan Durugkar Elad Liebman Peter Stone 30 2 0 16 Apr 2024
Tackling Cooperative Incompatibility for Zero-Shot Human-AI Coordination Yang Li Shao Zhang Jichen Sun Wenhao Zhang Yali Du Ying Wen Xinbing Wang Wei Pan 24 13 0 05 Jun 2023
Generating Teammates for Training Robust Ad Hoc Teamwork Agents via Best-Response Diversity Arrasy Rahman Elliot Fosong Ignacio Carlucho Stefano V. Albrecht 6 7 0 28 Jul 2022
Expected Value of Communication for Planning in Ad Hoc Teamwork William Macke Reuth Mirsky Peter Stone 37 25 0 01 Mar 2021
"Other-Play" for Zero-Shot Coordination Hengyuan Hu Adam Lerer A. Peysakhovich Jakob N. Foerster VLM OffRL 136 218 0 06 Mar 2020
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks Minjie Wang Da Zheng Zihao Ye Quan Gan Mufei Li ... J. Zhao Haotong Zhang Alex Smola Jinyang Li Zheng-Wei Zhang AI4CE GNN 200 746 0 03 Sep 2019