Search Results for author:
Found 4 papers, 2 papers with code
Dissenting Explanations: Leveraging Disagreement to Reduce Model Overreliance
While explainability is a desirable characteristic of increasingly complex black-box models, modern explanation methods have been shown to be inconsistent and contradictory.
PantheonRL: A MARL Library for Dynamic Training Interactions
We present PantheonRL, a multiagent reinforcement learning software package for dynamic training interactions such as round-robin, adaptive, and ad-hoc training.
APReL: A Library for Active Preference-based Reward Learning Algorithms
Reward learning is a fundamental problem in human-robot interaction to have robots that operate in alignment with what their human user wants.
When Humans Aren't Optimal: Robots that Collaborate with Risk-Aware Humans
Overall, we extend existing rational human models so that collaborative robots can anticipate and plan around suboptimal human behavior during HRI.
