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Liam Schramm
Liam Schramm
Computer Science PhD student, Rutgers University
Verified email at cs.rutgers.edu
Title
Cited by
Cited by
Year
Improving performance of automatic program repair using learned heuristics
L Schramm
Proceedings of the 2017 11th Joint Meeting on Foundations of Software …, 2017
82017
Learning to transfer dynamic models of underactuated soft robotic hands
L Schramm, A Sintov, A Boularias
2020 IEEE International Conference on Robotics and Automation (ICRA), 4579-4585, 2020
72020
Usher: Unbiased sampling for hindsight experience replay
L Schramm, Y Deng, E Granados, A Boularias
Conference on Robot Learning, 2073-2082, 2023
52023
Learning-guided exploration for efficient sampling-based motion planning in high dimensions
L Schramm, A Boularias
2022 International Conference on Robotics and Automation (ICRA), 4429-4435, 2022
52022
A Study of Neural Networks for the Quantum Many-Body Problem
LB Schramm
2018
DAP: Diffusion-based Affordance Prediction for Multi-modality Storage
H Chang, K Boyalakuntla, Y Liu, X Zhang, L Schramm, A Boularias
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Articles 1–6