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Using Machine Teaching to Investigate Human Assumptions when Teaching
  Reinforcement Learners

Using Machine Teaching to Investigate Human Assumptions when Teaching Reinforcement Learners

5 September 2020
Yun-Shiuan Chuang
Xuezhou Zhang
Yuzhe Ma
Mark K. Ho
Joseph L. Austerweil
Xiaojin Zhu
    OffRL
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Papers citing "Using Machine Teaching to Investigate Human Assumptions when Teaching Reinforcement Learners"

19 / 19 papers shown
Title
Policy Teaching via Environment Poisoning: Training-time Adversarial
  Attacks against Reinforcement Learning
Policy Teaching via Environment Poisoning: Training-time Adversarial Attacks against Reinforcement Learning
Amin Rakhsha
Goran Radanović
R. Devidze
Xiaojin Zhu
Adish Singla
AAML
OffRL
50
121
0
28 Mar 2020
Adaptive Reward-Poisoning Attacks against Reinforcement Learning
Adaptive Reward-Poisoning Attacks against Reinforcement Learning
Xuezhou Zhang
Yuzhe Ma
Adish Singla
Xiaojin Zhu
AAML
44
124
0
27 Mar 2020
Preference-Based Batch and Sequential Teaching: Towards a Unified View
  of Models
Preference-Based Batch and Sequential Teaching: Towards a Unified View of Models
Farnam Mansouri
Yuxin Chen
Ara Vartanian
Xiaojin Zhu
Adish Singla
113
33
0
24 Oct 2019
Policy Poisoning in Batch Reinforcement Learning and Control
Policy Poisoning in Batch Reinforcement Learning and Control
Yuzhe Ma
Xuezhou Zhang
Wen Sun
Xiaojin Zhu
AAML
OffRL
41
109
0
13 Oct 2019
Learner-aware Teaching: Inverse Reinforcement Learning with Preferences
  and Constraints
Learner-aware Teaching: Inverse Reinforcement Learning with Preferences and Constraints
Sebastian Tschiatschek
Ahana Ghosh
Luis Haug
R. Devidze
Adish Singla
52
43
0
02 Jun 2019
Interactive Teaching Algorithms for Inverse Reinforcement Learning
Interactive Teaching Algorithms for Inverse Reinforcement Learning
Parameswaran Kamalaruban
R. Devidze
Volkan Cevher
Adish Singla
87
64
0
28 May 2019
Online Data Poisoning Attack
Online Data Poisoning Attack
Xuezhou Zhang
Xiaojin Zhu
Laurent Lessard
AAML
15
28
0
05 Mar 2019
Adversarial Attacks on Stochastic Bandits
Adversarial Attacks on Stochastic Bandits
Kwang-Sung Jun
Lihong Li
Yuzhe Ma
Xiaojin Zhu
AAML
186
124
0
29 Oct 2018
Teaching Inverse Reinforcement Learners via Features and Demonstrations
Teaching Inverse Reinforcement Learners via Features and Demonstrations
Luis Haug
Sebastian Tschiatschek
Adish Singla
61
51
0
21 Oct 2018
An Optimal Control Approach to Sequential Machine Teaching
An Optimal Control Approach to Sequential Machine Teaching
Laurent Lessard
Xuezhou Zhang
Xiaojin Zhu
103
35
0
15 Oct 2018
Machine Teaching of Active Sequential Learners
Machine Teaching of Active Sequential Learners
Tomi Peltola
M. Çelikok
Pedram Daee
Samuel Kaski
41
25
0
08 Sep 2018
Data Poisoning Attacks against Online Learning
Data Poisoning Attacks against Online Learning
Yizhen Wang
Kamalika Chaudhuri
AAML
45
92
0
27 Aug 2018
Data Poisoning Attacks in Contextual Bandits
Data Poisoning Attacks in Contextual Bandits
Yuzhe Ma
Kwang-Sung Jun
Lihong Li
Xiaojin Zhu
AAML
33
67
0
17 Aug 2018
Teaching Multiple Concepts to a Forgetful Learner
Teaching Multiple Concepts to a Forgetful Learner
Anette Hunziker
Yuxin Chen
Oisin Mac Aodha
Manuel Gomez Rodriguez
Andreas Krause
Pietro Perona
Yisong Yue
Adish Singla
CLL
92
39
0
21 May 2018
Machine Teaching for Inverse Reinforcement Learning: Algorithms and
  Applications
Machine Teaching for Inverse Reinforcement Learning: Algorithms and Applications
Daniel S. Brown
S. Niekum
OffRL
40
82
0
20 May 2018
Addressing Function Approximation Error in Actor-Critic Methods
Addressing Function Approximation Error in Actor-Critic Methods
Scott Fujimoto
H. V. Hoof
David Meger
OffRL
157
5,121
0
26 Feb 2018
An Overview of Machine Teaching
An Overview of Machine Teaching
Xiaojin Zhu
Adish Singla
Sandra Zilles
Anna N. Rafferty
47
177
0
18 Jan 2018
Iterative Machine Teaching
Iterative Machine Teaching
Weiyang Liu
Bo Dai
Ahmad Humayun
C. Tay
Chen Yu
Linda B. Smith
James M. Rehg
Le Song
86
142
0
30 May 2017
Interactive Learning from Policy-Dependent Human Feedback
Interactive Learning from Policy-Dependent Human Feedback
J. MacGlashan
Mark K. Ho
R. Loftin
Bei Peng
Guan Wang
David L. Roberts
Matthew E. Taylor
Michael L. Littman
56
296
0
21 Jan 2017
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