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Deep Reinforcement Learning for Personalized Search Story Recommendation

Deep Reinforcement Learning for Personalized Search Story Recommendation

26 July 2019
Jason Zhang
Zhang
Junming Yin
Dongwon Lee
Linhong Zhu
ArXivPDFHTML

Papers citing "Deep Reinforcement Learning for Personalized Search Story Recommendation"

20 / 20 papers shown
Title
Model-Free Control for Distributed Stream Data Processing using Deep
  Reinforcement Learning
Model-Free Control for Distributed Stream Data Processing using Deep Reinforcement Learning
Teng Li
Zhiyuan Xu
Jian Tang
Yanzhi Wang
19
78
0
02 Mar 2018
Reinforcement Learning to Rank in E-Commerce Search Engine:
  Formalization, Analysis, and Application
Reinforcement Learning to Rank in E-Commerce Search Engine: Formalization, Analysis, and Application
Yujing Hu
Qing Da
Anxiang Zeng
Yang Yu
Yinghui Xu
41
179
0
02 Mar 2018
Proximal Policy Optimization Algorithms
Proximal Policy Optimization Algorithms
John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
OffRL
444
18,931
0
20 Jul 2017
Deep Reinforcement Learning: An Overview
Deep Reinforcement Learning: An Overview
Yuxi Li
OffRL
VLM
149
1,530
0
25 Jan 2017
Real-Time Bidding by Reinforcement Learning in Display Advertising
Real-Time Bidding by Reinforcement Learning in Display Advertising
Han Cai
Kan Ren
Weinan Zhang
Kleanthis Malialis
Jun Wang
Yong Yu
Defeng Guo
55
246
0
10 Jan 2017
An Actor-Critic Algorithm for Sequence Prediction
An Actor-Critic Algorithm for Sequence Prediction
Dzmitry Bahdanau
Philemon Brakel
Kelvin Xu
Anirudh Goyal
Ryan J. Lowe
Joelle Pineau
Aaron Courville
Yoshua Bengio
126
639
0
24 Jul 2016
Improved Recurrent Neural Networks for Session-based Recommendations
Improved Recurrent Neural Networks for Session-based Recommendations
Yong Kiam Tan
Xinxing Xu
Yong-Jin Liu
57
739
0
27 Jun 2016
Deep Reinforcement Learning for Dialogue Generation
Deep Reinforcement Learning for Dialogue Generation
Jiwei Li
Will Monroe
Alan Ritter
Michel Galley
Jianfeng Gao
Dan Jurafsky
270
1,331
0
05 Jun 2016
Continuous Deep Q-Learning with Model-based Acceleration
Continuous Deep Q-Learning with Model-based Acceleration
S. Gu
Timothy Lillicrap
Ilya Sutskever
Sergey Levine
86
1,012
0
02 Mar 2016
Asynchronous Methods for Deep Reinforcement Learning
Asynchronous Methods for Deep Reinforcement Learning
Volodymyr Mnih
Adria Puigdomenech Badia
M. Berk Mirza
Alex Graves
Timothy Lillicrap
Tim Harley
David Silver
Koray Kavukcuoglu
189
8,833
0
04 Feb 2016
Session-based Recommendations with Recurrent Neural Networks
Session-based Recommendations with Recurrent Neural Networks
Balázs Hidasi
Alexandros Karatzoglou
L. Baltrunas
D. Tikk
64
2,077
0
21 Nov 2015
Dueling Network Architectures for Deep Reinforcement Learning
Dueling Network Architectures for Deep Reinforcement Learning
Ziyun Wang
Tom Schaul
Matteo Hessel
H. V. Hasselt
Marc Lanctot
Nando de Freitas
OffRL
88
3,749
0
20 Nov 2015
Deep Reinforcement Learning with Double Q-learning
Deep Reinforcement Learning with Double Q-learning
H. V. Hasselt
A. Guez
David Silver
OffRL
154
7,623
0
22 Sep 2015
Continuous control with deep reinforcement learning
Continuous control with deep reinforcement learning
Timothy Lillicrap
Jonathan J. Hunt
Alexander Pritzel
N. Heess
Tom Erez
Yuval Tassa
David Silver
Daan Wierstra
300
13,214
0
09 Sep 2015
Embed to Control: A Locally Linear Latent Dynamics Model for Control
  from Raw Images
Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images
Manuel Watter
Jost Tobias Springenberg
Joschka Boedecker
Martin Riedmiller
BDL
60
844
0
24 Jun 2015
End-to-End Training of Deep Visuomotor Policies
End-to-End Training of Deep Visuomotor Policies
Sergey Levine
Chelsea Finn
Trevor Darrell
Pieter Abbeel
BDL
278
3,431
0
02 Apr 2015
Trust Region Policy Optimization
Trust Region Policy Optimization
John Schulman
Sergey Levine
Philipp Moritz
Michael I. Jordan
Pieter Abbeel
268
6,755
0
19 Feb 2015
Collaborative Deep Learning for Recommender Systems
Collaborative Deep Learning for Recommender Systems
Hao Wang
Naiyan Wang
Dit-Yan Yeung
BDL
92
1,618
0
10 Sep 2014
Counterfactual Reasoning and Learning Systems
Counterfactual Reasoning and Learning Systems
Léon Bottou
J. Peters
J. Q. Candela
Denis Xavier Charles
D. M. Chickering
Elon Portugaly
Dipankar Ray
Patrice Y. Simard
Edward Snelson
CML
OffRL
304
783
0
11 Sep 2012
A Contextual-Bandit Approach to Personalized News Article Recommendation
A Contextual-Bandit Approach to Personalized News Article Recommendation
Lihong Li
Wei Chu
John Langford
Robert Schapire
388
2,944
0
28 Feb 2010
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