108 citations · 114 across the 3 of their papers we have counts for
3 papers
Outcome-Guided Counterfactuals for Reinforcement Learning Agents from a Jointly Trained Generative Latent Space
Eric Yeh, Pedro Sequeira, Jesse Hostetler +1
We present a novel generative method for producing unseen and plausible counterfactual examples for reinforcement learning (RL) agents based upon outcome variables that characteriz…
Interestingness Elements for Explainable Reinforcement Learning: Understanding Agents' Capabilities and Limitations
Pedro Sequeira, Melinda Gervasio
We propose an explainable reinforcement learning (XRL) framework that analyzes an agent's history of interaction with the environment to extract interestingness elements that help…
Empathic Robot for Group Learning: A Field Study
Patricia Alves-Oliveira, Pedro Sequeira, Francisco S. Melo +2
This work explores a group learning scenario with an autonomous empathic robot. We address two research questions: (1) Can an autonomous robot designed with empathic competencies f…