Explainable Reinforcement Learning in Human-Robot Teams: The Impact of Decision-Tree Explanations on Transparency.
David V. PynadathNikolos GurneyNing WangPublished in: RO-MAN (2022)
Keyphrases
- decision trees
- reinforcement learning
- robot teams
- function approximation
- machine learning
- naive bayes
- logistic regression
- markov decision processes
- temporal difference
- human users
- model free
- multi agent
- decision tree induction
- generating explanations
- robot control
- reinforcement learning algorithms
- decision table
- human behavior
- predictive accuracy
- decision makers
- training data
- learning algorithm