Towards a more efficient computation of individual attribute and policy contribution for post-hoc explanation of cooperative multi-agent systems using Myerson values

6 December 2022

Papers citing "Towards a more efficient computation of individual attribute and policy contribution for post-hoc explanation of cooperative multi-agent systems using Myerson values"

7 / 7 papers shown

Title
Explaining Decisions of Agents in Mixed-Motive Games Maayan Orner Oleg Maksimov Akiva Kleinerman Charles Ortiz Sarit Kraus 110 1 0 28 Jan 2025
Collective eXplainable AI: Explaining Cooperative Strategies and Agent Contribution in Multiagent Reinforcement Learning with Shapley Values Alexandre Heuillet Fabien Couthouis Natalia Díaz Rodríguez 44 60 0 04 Oct 2021
Explainability in Deep Reinforcement Learning Alexandre Heuillet Fabien Couthouis Natalia Díaz Rodríguez XAI 91 279 0 15 Aug 2020
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI Alejandro Barredo Arrieta Natalia Díaz Rodríguez Javier Del Ser Adrien Bennetot Siham Tabik ... S. Gil-Lopez Daniel Molina Richard Benjamins Raja Chatila Francisco Herrera XAI 74 6,178 0 22 Oct 2019
Google Research Football: A Novel Reinforcement Learning Environment Karol Kurach Anton Raichuk Piotr Stańczyk Michal Zajac Olivier Bachem ... C. Riquelme Damien Vincent Marcin Michalski Olivier Bousquet Sylvain Gelly 123 398 0 25 Jul 2019
Green AI Roy Schwartz Jesse Dodge Noah A. Smith Oren Etzioni 77 1,124 0 22 Jul 2019
A Unified Approach to Interpreting Model Predictions Scott M. Lundberg Su-In Lee FAtt 364 21,459 0 22 May 2017