Showing cs.ROShow all
3 papers · 1 filter
cs.RO2025
TREND: Tri-teaching for Robust Preference-based Reinforcement Learning with Demonstrations
Shuaiyi Huang, Mara Levy, Anubhav Gupta +3
Preference feedback collected by human or VLM annotators is often noisy, presenting a significant challenge for preference-based reinforcement learning that relies on accurate pref…
cs.RO2024
P3-PO: Prescriptive Point Priors for Visuo-Spatial Generalization of Robot Policies
Mara Levy, Siddhant Haldar, Lerrel Pinto +1
Developing generalizable robot policies that can robustly handle varied environmental conditions and object instances remains a fundamental challenge in robot learning. While consi…
cs.RO2024
NeRF-Aug: Data Augmentation for Robotics with Neural Radiance Fields
Eric Zhu, Mara Levy, Matthew Gwilliam +1
Training a policy that can generalize to unknown objects is a long standing challenge within the field of robotics. The performance of a policy often drops significantly in situati…