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Yashwanthi Anand

As seen in: Frontiers
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Articles

Adaptive querying for reward learning from human feedback

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By Yashwanthi Anand, Kevin Sabbe, Naomi Fitter, Sandhya Saisubramanian, Nnamdi Nwagwu
| Frontiers
Oregon State University, Corvallis, OR, United States Learning from human feedback is a popular approach to train robots to adapt to user preferences and improve safety. Existing approaches typically consider a single querying (interaction) format when seeking human feedback and do not leverage multiple modes of user interaction with a robot.
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[2507.03870] Uncovering Systemic and Environment Errors in Autonomous Systems Using Differential Testing

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By Manish Motwani, Sandhya Saisubramanian, Yashwanthi Anand
| arXiv
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