research
∙
09/28/2021
Identifying Reasoning Flaws in Planning-Based RL Using Tree Explanations
Enabling humans to identify potential flaws in an agent's decision makin...
share
research
∙
03/22/2019
Explaining Reinforcement Learning to Mere Mortals: An Empirical Study
We present a user study to investigate the impact of explanations on non...
research
∙
01/23/2019
Explaining Models: An Empirical Study of How Explanations Impact Fairness Judgment
Ensuring fairness of machine learning systems is a human-in-the-loop pro...
research
∙
11/21/2017
Toward Foraging for Understanding of StarCraft Agents: An Empirical Study
Assessing and understanding intelligent agents is a difficult task for u...
research
∙
11/19/2017
How the Experts Do It: Assessing and Explaining Agent Behaviors in Real-Time Strategy Games
How should an AI-based explanation system explain an agent's complex beh...
research
∙
10/31/2017