Yashwanthi Anand
I am a Computer Science Ph.D. student advised by Dr. Sandhya Saisubramanian and a member of the Intelligent and Reliable Autonomous System (IRAS) research group at Oregon State University.
My research interests lie in reinforcement learning, Bayesian methods, and causal inference. I focus on developing methods to ensure the safe operation of autonomous agents, particularly through the integration of external sources of information, like human feedback.
Publications/Workshops
Adaptive Feedback Selection for Learning to Avoid Negative Side Effects in Autonomous Agents
Yashwanthi Anand and Sandhya Saisubramanian.
Workshop on Reinforcement Learning Beyond Rewards, Reinforcement Learning Conference (RLC), 2024.
Donald Bertucci, Md Montaser Hamid, Yashwanthi Anand, Anita Ruangrotsakun, Delyar Tabatabai, Melissa Perez, Minsuk Kahng.
IEEE Transactions on Visualization and Computer Graphics, 2022.
Projects
Tool to interactively analyze Red Wine Dataset – a multivariate tabular data.
A tool that helps analyze the predictions and score distribution of a machine learning model.