Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation
People have a variety of preferences for how robots behave. To understand and reason
about these preferences, robots aim to learn a reward function that describes how aligned …
about these preferences, robots aim to learn a reward function that describes how aligned …
On the Effect of Robot Errors on Human Teaching Dynamics
Human-in-the-loop learning is gaining popularity, particularly in the field of robotics,
because it leverages human knowledge about real-world tasks to facilitate agent learning …
because it leverages human knowledge about real-world tasks to facilitate agent learning …
How Much Progress Did I Make? An Unexplored Human Feedback Signal for Teaching Robots
Enhancing the expressiveness of human teaching is vital for both improving robots' learning
from humans and the human-teaching-robot experience. In this work, we characterize and …
from humans and the human-teaching-robot experience. In this work, we characterize and …