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1909.04607
Cited By
Discovery of Useful Questions as Auxiliary Tasks
10 September 2019
Vivek Veeriah
Matteo Hessel
Zhongwen Xu
Richard L. Lewis
Janarthanan Rajendran
Junhyuk Oh
H. V. Hasselt
David Silver
Satinder Singh
LLMAG
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Papers citing
"Discovery of Useful Questions as Auxiliary Tasks"
17 / 17 papers shown
Title
A Survey of Meta-Reinforcement Learning
Jacob Beck
Risto Vuorio
E. Liu
Zheng Xiong
L. Zintgraf
Chelsea Finn
Shimon Whiteson
OOD
OffRL
37
122
0
19 Jan 2023
Debiasing Meta-Gradient Reinforcement Learning by Learning the Outer Value Function
Clément Bonnet
Laurence Midgley
Alexandre Laterre
26
1
0
19 Nov 2022
Auxiliary task discovery through generate-and-test
Banafsheh Rafiee
Sina Ghiassian
Jun Jin
R. Sutton
Jun Luo
Adam White
21
0
0
25 Oct 2022
Understanding and Preventing Capacity Loss in Reinforcement Learning
Clare Lyle
Mark Rowland
Will Dabney
CLL
36
109
0
20 Apr 2022
elBERto: Self-supervised Commonsense Learning for Question Answering
Xunlin Zhan
Yuan Li
Xiao Dong
Xiaodan Liang
Zhiting Hu
Lawrence Carin
SSL
RALM
LRM
24
7
0
17 Mar 2022
Follow your Nose: Using General Value Functions for Directed Exploration in Reinforcement Learning
Durgesh Kalwar
Omkar Shelke
Somjit Nath
Hardik Meisheri
H. Khadilkar
19
1
0
02 Mar 2022
Open-Ended Reinforcement Learning with Neural Reward Functions
Robert Meier
Asier Mujika
37
7
0
16 Feb 2022
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems
Jack Parker-Holder
Raghunandan Rajan
Xingyou Song
André Biedenkapp
Yingjie Miao
...
Vu-Linh Nguyen
Roberto Calandra
Aleksandra Faust
Frank Hutter
Marius Lindauer
AI4CE
33
100
0
11 Jan 2022
Automated Deep Learning: Neural Architecture Search Is Not the End
Xuanyi Dong
D. Kedziora
Katarzyna Musial
Bogdan Gabrys
25
26
0
16 Dec 2021
Which Mutual-Information Representation Learning Objectives are Sufficient for Control?
Kate Rakelly
Abhishek Gupta
Carlos Florensa
Sergey Levine
SSL
26
38
0
14 Jun 2021
Reinforcement Learning, Bit by Bit
Xiuyuan Lu
Benjamin Van Roy
Vikranth Dwaracherla
M. Ibrahimi
Ian Osband
Zheng Wen
30
70
0
06 Mar 2021
Credit Assignment with Meta-Policy Gradient for Multi-Agent Reinforcement Learning
Jianzhun Shao
Hongchang Zhang
Yuhang Jiang
Shuncheng He
Xiangyang Ji
29
5
0
24 Feb 2021
Return-Based Contrastive Representation Learning for Reinforcement Learning
Guoqing Liu
Chuheng Zhang
Li Zhao
Tao Qin
Jinhua Zhu
Jian Li
Nenghai Yu
Tie-Yan Liu
SSL
OffRL
13
47
0
22 Feb 2021
Discovery of Options via Meta-Learned Subgoals
Vivek Veeriah
Tom Zahavy
Matteo Hessel
Zhongwen Xu
Junhyuk Oh
Iurii Kemaev
H. V. Hasselt
David Silver
Satinder Singh
29
33
0
12 Feb 2021
Meta-Learning in Neural Networks: A Survey
Timothy M. Hospedales
Antreas Antoniou
P. Micaelli
Amos Storkey
OOD
67
1,935
0
11 Apr 2020
Online Meta-Critic Learning for Off-Policy Actor-Critic Methods
Wei Zhou
Yiying Li
Yongxin Yang
Huaimin Wang
Timothy M. Hospedales
OffRL
30
46
0
11 Mar 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
371
11,700
0
09 Mar 2017
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