Search Results for author:
Found 4 papers, 0 papers with code
Coordination with Humans via Strategy Matching
Human and robot partners increasingly need to work together to perform tasks as a team.
Reasoning about Counterfactuals to Improve Human Inverse Reinforcement Learning
We propose to incorporate the learner's current understanding of the robot's decision making into our model of human IRL, so that a robot can select demonstrations that maximize the human's understanding.
Tradeoff-Focused Contrastive Explanation for MDP Planning
In this work, we contribute an approach, based on contrastive explanation, that enables a multi-objective MDP planning agent to explain its decisions in a way that communicates its tradeoff rationale in terms of the domain-level concepts.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
