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Found 5 papers, 1 papers with code
Directive Explanations for Actionable Explainability in Machine Learning Applications
This paper investigates the prospects of using directive explanations to assist people in achieving recourse of machine learning decisions.
Distal Explanations for Model-free Explainable Reinforcement Learning
In this paper we introduce and evaluate a distal explanation model for model-free reinforcement learning agents that can generate explanations for `why' and `why not' questions.
Explainable Reinforcement Learning Through a Causal Lens
In this paper, we use causal models to derive causal explanations of behaviour of reinforcement learning agents.
A Grounded Interaction Protocol for Explainable Artificial Intelligence
Explainable Artificial Intelligence (XAI) systems need to include an explanation model to communicate the internal decisions, behaviours and actions to the interacting humans.
Explainable artificial intelligence
Explainable Artificial Intelligence (XAI)
Towards a Grounded Dialog Model for Explainable Artificial Intelligence
We carry out further analysis to identify the relationships between components and sequences and cycles that occur in a dialog.
Explainable artificial intelligence
Explainable Artificial Intelligence (XAI)
