Volume 32

By V. Authors. 2018

Citations in the corpus

• Leveraging Human Guidance for Deep Reinforcement Learning Tasks (2019, neutral): “Previous works have used preferences to directly learn policies [Wilson et al. , 2012; Busa-Fekete et al. , 2013], learn a preference model [F¨urnkranz et al. , 2012], or learn a reward function [Wirth et al. , 2016; Akrour et al. , 2014].”
• Recent Advances in Adversarial Training for Adversarial Robustness (2021, unknown): “Simply combining perturbations with different lp norms in adversarial training proves to be useless as well [Tramer and Boneh, 2019].”