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2004.07928
Cited By

MARLeME: A Multi-Agent Reinforcement Learning Model Extraction Library

MARLeME: A Multi-Agent Reinforcement Learning Model Extraction Library

IEEE International Joint Conference on Neural Network (IJCNN), 2020

16 April 2020

ArXiv (abs)PDF HTML

Papers citing "MARLeME: A Multi-Agent Reinforcement Learning Model Extraction Library"

10 / 10 papers shown

Argumentation and Machine Learning

Argumentation and Machine Learning

Kristijonas Čyras

199

2

0

31 Oct 2024

VidModEx: Interpretable and Efficient Black Box Model Extraction for
High-Dimensional Spaces

VidModEx: Interpretable and Efficient Black Box Model Extraction for High-Dimensional Spaces

Somnath Sendhil Kumar

Yuvaraj Govindarajulu

Manojkumar Somabhai Parmar

251

1

0

04 Aug 2024

Multi-Agent Reinforcement Learning: Methods, Applications, Visionary
Prospects, and Challenges

Multi-Agent Reinforcement Learning: Methods, Applications, Visionary Prospects, and ChallengesIEEE Transactions on Intelligent Vehicles (TIV), 2023

337

38

0

17 May 2023

MAVIPER: Learning Decision Tree Policies for Interpretable Multi-Agent
Reinforcement Learning

MAVIPER: Learning Decision Tree Policies for Interpretable Multi-Agent Reinforcement Learning

Stephanie Milani

Charles A. Kamhoua

Evangelos E. Papalexakis

440

18

0

25 May 2022

Toward Policy Explanations for Multi-Agent Reinforcement Learning

Toward Policy Explanations for Multi-Agent Reinforcement LearningInternational Joint Conference on Artificial Intelligence (IJCAI), 2022

254

25

0

26 Apr 2022

Explainable Reinforcement Learning for Broad-XAI: A Conceptual Framework
and Survey

Explainable Reinforcement Learning for Broad-XAI: A Conceptual Framework and Survey

Richard Dazeley

288

78

0

20 Aug 2021

MEME: Generating RNN Model Explanations via Model Extraction

MEME: Generating RNN Model Explanations via Model Extraction

211

15

0

13 Dec 2020

Now You See Me (CME): Concept-based Model Extraction

Now You See Me (CME): Concept-based Model ExtractionInternational Conference on Information and Knowledge Management (CIKM), 2020

181

82

0

25 Oct 2020

Graph representation forecasting of patient's medical conditions:
towards a digital twin

Graph representation forecasting of patient's medical conditions: towards a digital twinmedRxiv (medRxiv), 2020

Pietro Barbiero

Ramon Vinas Torné

278

12

0

17 Sep 2020

Machine Reasoning Explainability

Machine Reasoning Explainability

Alexandros Nikou

Alessandro Previti

Vaishnavi Sundararajan

Aneta Vulgarakis Feljan

387

13

0

01 Sep 2020

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