Towards Open Ad Hoc Teamwork Using Graph-based Policy Learning

Towards Open Ad Hoc Teamwork Using Graph-based Policy Learning

18 June 2020

Filippos Christianos

Stefano V. Albrecht

Papers citing "Towards Open Ad Hoc Teamwork Using Graph-based Policy Learning"

10 / 10 papers shown

Title
Cooperation on the Fly: Exploring Language Agents for Ad Hoc Teamwork in the Avalon Game Zijing Shi Meng Fang Shunfeng Zheng Shilong Deng Ling-Hao Chen Yali Du 28 22 0 29 Dec 2023
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
Latent Interactive A2C for Improved RL in Open Many-Agent Systems Keyang He Prashant Doshi Bikramjit Banerjee OffRL 20 3 0 09 May 2023
Improving Zero-Shot Coordination Performance Based on Policy Similarity Lebin Yu Yunbo Qiu Quanming Yao Xudong Zhang Jian Wang 12 1 0 10 Feb 2023
Classifying Ambiguous Identities in Hidden-Role Stochastic Games with Multi-Agent Reinforcement Learning Shijie Han Siyuan Li Bo An Wei Zhao P. Liu 21 0 0 24 Oct 2022
RACA: Relation-Aware Credit Assignment for Ad-Hoc Cooperation in Multi-Agent Deep Reinforcement Learning Haoxing Chen Guang Yang Junge Zhang Qiyue Yin Kaiqi Huang 15 2 0 02 Jun 2022
Review of Metrics to Measure the Stability, Robustness and Resilience of Reinforcement Learning L. Pullum 11 2 0 22 Mar 2022
On the Use and Misuse of Absorbing States in Multi-agent Reinforcement Learning Andrew Cohen Ervin Teng Vincent-Pierre Berges Ruo-Ping Dong Hunter Henry Marwan Mattar Alexander Zook Sujoy Ganguly 14 33 0 10 Nov 2021
Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks Georgios Papoudakis Filippos Christianos Lukas Schafer Stefano V. Albrecht OffRL 21 219 0 14 Jun 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 194 745 0 03 Sep 2019