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BBQ-Networks: Efficient Exploration in Deep Reinforcement Learning for
  Task-Oriented Dialogue Systems

BBQ-Networks: Efficient Exploration in Deep Reinforcement Learning for Task-Oriented Dialogue Systems

17 August 2016
Zachary Chase Lipton
Xiujun Li
Jianfeng Gao
Lihong Li
Faisal Ahmed
Li Deng
ArXivPDFHTML

Papers citing "BBQ-Networks: Efficient Exploration in Deep Reinforcement Learning for Task-Oriented Dialogue Systems"

4 / 4 papers shown
Title
MEDCOD: A Medically-Accurate, Emotive, Diverse, and Controllable Dialog
  System
MEDCOD: A Medically-Accurate, Emotive, Diverse, and Controllable Dialog System
Rhys Compton
Ilya Valmianski
Li Deng
Shengyi Huang
Namit Katariya
X. Amatriain
Anitha Kannan
MedIm
37
4
0
17 Nov 2021
Exploration by Distributional Reinforcement Learning
Exploration by Distributional Reinforcement Learning
Yunhao Tang
Shipra Agrawal
OOD
41
30
0
04 May 2018
Variational Deep Q Network
Variational Deep Q Network
Yunhao Tang
A. Kucukelbir
BDL
38
10
0
30 Nov 2017
Variational inference for the multi-armed contextual bandit
Variational inference for the multi-armed contextual bandit
Iñigo Urteaga
C. Wiggins
11
29
0
10 Sep 2017
1