robots-10

Skill Mastery

3260 papers • 126 benchmarks • 313 datasets

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Benchmarks

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Most implemented papers

Option Tracing: Beyond Correctness Analysis in Knowledge Tracing

Aritra Ghosh, Jay Raspat, Andrew S. Lan•Sun Apr 18 2021

This paper quantitatively evaluates the performance of the option tracing methods on two large-scale student response datasets and qualitatively evaluates their ability in identifying common student errors in the form of clusters of incorrect options across different questions that correspond to the same error.

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Beyond Pick-and-Place: Tackling Robotic Stacking of Diverse Shapes

Martin A. Riedmiller, R. Hadsell, A. Abdolmaleki, A. Raju, Rae Jeong, Nimrod Gileadi, Alex X. Lee, Coline Devin, Yuxiang Zhou, Thomas Lampe, Konstantinos Bousmalis, Jost Tobias Springenberg, Arunkumar Byravan, D. Khosid, C. Fantacci, José Enrique Chen, M. Neunert, Antoine Laurens, Stefano Saliceti, Federico Casarini, F. Nori•Mon Oct 11 2021

This work investigates what choices matter for learning such general vision-based agents in simulation, and what affects optimal transfer to the real robot, and then leverages data collected by such policies and improves upon them with offline RL.

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Interpretable Knowledge Tracing: Simple and Efficient Student Modeling with Causal Relations

Jill-Jênn Vie, H. Kashima, Sein Minn, Koh Takeuchi, Feida Zhu•Tue Dec 14 2021

Interpretable Knowledge Tracing is presented, a simple model that relies on three meaningful features: individual skill mastery, ability profile (learning transfer across skills) and problem difficulty by using data mining techniques and shows better student performance prediction than deep learning based student models without requiring a huge amount of parameters.

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