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Explaining the Behaviour of Reinforcement Learning Agents in a Multi-Agent Cooperative Environment Using Policy Graphs
January 2024 • Marc Vila, Dmitry Gnatyshak, Adrián Tormos, Víctor Giménez-Ábalos, Sergio Álvarez-Napagao
The adoption of algorithms based on Artificial Intelligence (AI) has been rapidly increasing during the last years. However, some aspects of AI techniques are under heavy scrutiny. For instance, in many use cases, it is not clear whether the decisions of an algorithm are well-informed and conforming to human understanding. Having ways to address these concerns is crucial in many domains, especially whenever humans and intelligent (physical or virtual) agents must cooperate in a shared environment. In this paper, w…
Computer Science
Artificial Intelligence
Reinforcement Learning
Intelligent Agent
Multi-Agent System
Machine Learning
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