Collective eXplainable AI: Explaining Cooperative Strategies and Agent Contribution in Multiagent Reinforcement Learning with Shapley Values

4 October 2021

Papers citing "Collective eXplainable AI: Explaining Cooperative Strategies and Agent Contribution in Multiagent Reinforcement Learning with Shapley Values"

19 / 19 papers shown

Title
Internet of Agents: Fundamentals, Applications, and Challenges Yuntao Wang Shaolong Guo Yanghe Pan Zhou Su Fahao Chen Tom H. Luan Peng Li Jiawen Kang Dusit Niyato LLMAG LM&Ro AI4CE 60 0 0 12 May 2025
Explaining Decisions of Agents in Mixed-Motive Games Maayan Orner Oleg Maksimov Akiva Kleinerman Charles Ortiz Sarit Kraus 93 1 0 28 Jan 2025
A Comprehensive Study of Shapley Value in Data Analytics Hong Lin Shixin Wan Zhongle Xie Ke Chen Meihui Zhang Lidan Shou Gang Chen 95 0 0 02 Dec 2024
Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction Melkamu Mersha Khang Lam Joseph Wood Ali AlShami Jugal Kalita XAI AI4TS 69 28 0 30 Aug 2024
Explainability of Machine Learning Models under Missing Data Tuan L. Vo T. Nguyen Hugo Lewi Hammer Michael A. Riegler P. Halvorsen Pal Halvorsen 61 2 0 29 Jun 2024
Select to Perfect: Imitating desired behavior from large multi-agent data Tim Franzmeyer Edith Elkind Philip Torr Jakob N. Foerster Joao Henriques 44 2 0 06 May 2024
Efficiently Quantifying Individual Agent Importance in Cooperative MARL Omayma Mahjoub Ruan de Kock Siddarth S. Singh Wiem Khlifi Abidine Vall Kale-ab Tessera Arnu Pretorius FAtt 40 2 0 13 Dec 2023
Explainable Multi-Agent Reinforcement Learning for Temporal Queries Kayla Boggess Sarit Kraus Lu Feng LRM 32 11 0 17 May 2023
Multi-Agent Reinforcement Learning: Methods, Applications, Visionary Prospects, and Challenges Ziyuan Zhou Guanjun Liu Ying-Si Tang 33 14 0 17 May 2023
Towards a more efficient computation of individual attribute and policy contribution for post-hoc explanation of cooperative multi-agent systems using Myerson values Giorgio Angelotti Natalia Díaz Rodríguez 17 7 0 06 Dec 2022
Multi Agent Path Finding using Evolutionary Game Theory Sheryl Paul Jyotirmoy V. Deshmukh 17 4 0 05 Dec 2022
Explaining Deep Convolutional Neural Networks for Image Classification by Evolving Local Interpretable Model-agnostic Explanations Bin Wang Wenbin Pei Bing Xue Mengjie Zhang FAtt 33 3 0 28 Nov 2022
Discovering Influencers in Opinion Formation over Social Graphs Valentina Shumovskaia Mert Kayaalp Mert Cemri Ali H. Sayed 18 8 0 23 Nov 2022
A Survey on Explainable Reinforcement Learning: Concepts, Algorithms, Challenges Yunpeng Qing Shunyu Liu Mingli Song Huiqiong Wang Mingli Song XAI 33 1 0 12 Nov 2022
Local Interpretable Model Agnostic Shap Explanations for machine learning models P. Aditya M. Pal FAtt 34 6 0 10 Oct 2022
Explainability in Deep Reinforcement Learning, a Review into Current Methods and Applications Tom Hickling Abdelhafid Zenati Nabil Aouf P. Spencer XAI AI4TS 43 22 0 05 Jul 2022
MAVIPER: Learning Decision Tree Policies for Interpretable Multi-Agent Reinforcement Learning Stephanie Milani Zhicheng Zhang Nicholay Topin Z. Shi Charles A. Kamhoua Evangelos E. Papalexakis Fei Fang OffRL 80 13 0 25 May 2022
D-DARTS: Distributed Differentiable Architecture Search Alexandre Heuillet Hedi Tabia Hichem Arioui K. Youcef-Toumi 34 1 0 20 Aug 2021
Deep Reinforcement Learning for Autonomous Driving: A Survey B. R. Kiran Ibrahim Sobh V. Talpaert Patrick Mannion A. A. Sallab S. Yogamani P. Pérez 165 1,632 0 02 Feb 2020