Papers
Regret Bounds for Robust Adaptive Control of the Linear Quadratic Regulator
Sarah Dean, Horia Mania, Nikolai Matni et al.
Regret Minimization for Partially Observable Deep Reinforcement Learning
Peter Jin, Kurt Keutzer, Sergey Levine
Regular Expression Guided Entity Mention Mining from Noisy Web Data
Shanshan Zhang, Lihong He, Slobodan Vucetic et al.
Regularization Learning Networks: Deep Learning for Tabular Datasets
Ira Shavitt, Eran Segal
Regularized Optimal Transport and the Rot Mover's Distance
Arnaud Dessein, Nicolas Papadakis, Jean-Luc Rouas
Regularized Training Objective for Continued Training for Domain Adaptation in Neural Machine Translation
Huda Khayrallah, Brian Thompson, Kevin Duh et al.
Regularizing and Optimizing LSTM Language Models
Stephen Merity, Nitish Shirish Keskar, Richard Socher
Regularizing by the Variance of the Activations' Sample-Variances
Etai Littwin, Lior Wolf
Regularizing Deep Networks by Modeling and Predicting Label Structure
Mohammadreza Mostajabi, Michael Maire, Gregory Shakhnarovich
Regularizing Deep Neural Networks with an Ensemble-based Decorrelation Method
Shuqin Gu, Yuexian Hou, Lipeng Zhang et al.
Regularizing RNNs for Caption Generation by Reconstructing the Past With the Present
Xinpeng Chen, Lin Ma, Wenhao Jiang et al.
Reinforced Continual Learning
Ju Xu, Zhanxing Zhu
Reinforced Co-Training
Jiawei Wu, Lei Li, William Yang Wang
Reinforced Extractive Summarization with Question-Focused Rewards
Kristjan Arumae, Fei Liu
Reinforced Mnemonic Reader for Machine Reading Comprehension
Minghao Hu, Yuxing Peng, Zhen Huang et al.
Reinforced Self-Attention Network: a Hybrid of Hard and Soft Attention for Sequence Modeling
Tao Shen, Tianyi Zhou, Guodong Long et al.
Reinforcement and Imitation Learning for Diverse Visuomotor Skills
Yuke Zhu, Ziyu Wang, Josh Merel et al.
Reinforcement Cutting-Agent Learning for Video Object Segmentation
Junwei Han, Le Yang, Dingwen Zhang et al.
Reinforcement Learning Algorithm Selection
Romain Laroche, Raphael Feraud
Reinforcement Learning for Solving the Vehicle Routing Problem
MohammadReza Nazari, Afshin Oroojlooy, Lawrence Snyder et al.
Reinforcement Learning of Active Vision for Manipulating Objects under Occlusions
Ricson Cheng, Arpit Agarwal, Katerina Fragkiadaki
Reinforcement Learning of Phase Oscillators for Fast Adaptation to Moving Targets
Guilherme Maeda, Okan Koc, Jun Morimoto
Reinforcement Learning of Theorem Proving
Cezary Kaliszyk, Josef Urban, Henryk Michalewski et al.
Reinforcement Learning on Web Interfaces using Workflow-Guided Exploration
Evan Zheran Liu, Kelvin Guu, Panupong Pasupat et al.
Reinforcement Learning with Action-Derived Rewards for Chemotherapy and Clinical Trial Dosing Regimen Selection
Gregory Yauney, Pratik Shah