13 citations · 13 across the 2 of their papers we have counts for
2 papers
cs.MA2024
Offline Risk-sensitive RL with Partial Observability to Enhance Performance in Human-Robot Teaming
Giorgio Angelotti, Caroline P. C. Chanel, Adam H. M. Pinto +3
The integration of physiological computing into mixed-initiative human-robot interaction systems offers valuable advantages in autonomous task allocation by incorporating real-time…
stat.ML2016★ 13 cited
One Class Splitting Criteria for Random Forests
Nicolas Goix, Nicolas Drougard, Romain Brault +1
Random Forests (RFs) are strong machine learning tools for classification and regression. However, they remain supervised algorithms, and no extension of RFs to the one-class setti…