Searching k-Optimal Goals for an Orienteering Problem on a Specialized Graph with Budget Constraints

no code implementations • 2 Nov 2020 • Abhinav Sharma, Advait Deshpande, Yanming Wang, Xinyi Xu, Prashan Madumal, Anbin Hou

We propose a novel non-randomized anytime orienteering algorithm for finding k-optimal goals that maximize reward on a specialized graph with budget constraints.

Invertible Concept-based Explanations for CNN Models with Non-negative Concept Activation Vectors

1 code implementation • 27 Jun 2020 • Ruihan Zhang, Prashan Madumal, Tim Miller, Krista A. Ehinger, Benjamin I. P. Rubinstein

Based on the requirements of fidelity (approximate models to target models) and interpretability (being meaningful to people), we design measurements and evaluate a range of matrix factorization methods with our framework.

Clustering Dimensionality Reduction +1

Distal Explanations for Model-free Explainable Reinforcement Learning

no code implementations • 28 Jan 2020 • Prashan Madumal, Tim Miller, Liz Sonenberg, Frank Vetere

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.

reinforcement-learning Reinforcement Learning (RL)

Explainable Reinforcement Learning Through a Causal Lens

2 code implementations • 27 May 2019 • Prashan Madumal, Tim Miller, Liz Sonenberg, Frank Vetere

In this paper, we use causal models to derive causal explanations of behaviour of reinforcement learning agents.

counterfactual reinforcement-learning +3

A Grounded Interaction Protocol for Explainable Artificial Intelligence

no code implementations • 5 Mar 2019 • Prashan Madumal, Tim Miller, Liz Sonenberg, Frank Vetere

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

no code implementations • 21 Jun 2018 • Prashan Madumal, Tim Miller, Frank Vetere, Liz Sonenberg

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)