Christabel Wayllace

Papers

Total Citations

162

H-Index

About

Christabel Wayllace is a leading researcher at the intersection of artificial intelligence and human-centered computing, with a primary focus on reinforcement learning (RL) and goal recognition design. Her most impactful work, the 2024 survey "Human-in-the-Loop Reinforcement Learning," has already garnered 131 citations, establishing her as a key voice in reframing RL as an inherently collaborative human-machine paradigm. In this seminal paper, Wayllace articulates the critical requirements, challenges, and opportunities for integrating human oversight into autonomous learning systems, moving beyond traditional views of RL as purely agent-driven. Earlier, her foundational 2016 paper on "Goal recognition design with stochastic agent action outcomes" (31 citations) advanced the field by addressing how to modify environments to force agents to reveal their objectives sooner, even when actions have probabilistic outcomes. This work has practical implications for security, robotics, and intelligent tutoring systems. Wayllace’s research uniquely bridges theoretical rigor with real-world applicability, making her a vital contributor to developing safer, more transparent, and human-aligned AI systems. Her work is essential reading for anyone interested in the future of interactive machine learning.