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1705.05427
Cited By
Repeated Inverse Reinforcement Learning
15 May 2017
Kareem Amin
Nan Jiang
Satinder Singh
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Papers citing
"Repeated Inverse Reinforcement Learning"
18 / 18 papers shown
Title
Agency Is Frame-Dependent
David Abel
André Barreto
Michael Bowling
Will Dabney
Shi Dong
...
Doina Precup
Jonathan Richens
Mark Rowland
Tom Schaul
Satinder Singh
93
1
0
06 Feb 2025
Towards the Transferability of Rewards Recovered via Regularized Inverse Reinforcement Learning
Andreas Schlaginhaufen
Maryam Kamgarpour
OffRL
25
1
0
03 Jun 2024
Inverse Decision Modeling: Learning Interpretable Representations of Behavior
Daniel Jarrett
Alihan Huyuk
M. Schaar
AI4CE
27
27
0
28 Oct 2023
Environment Design for Inverse Reinforcement Learning
Thomas Kleine Buening
Victor Villin
Christos Dimitrakakis
37
1
0
26 Oct 2022
How to talk so AI will learn: Instructions, descriptions, and autonomy
T. Sumers
Robert D. Hawkins
Mark K. Ho
Thomas Griffiths
Dylan Hadfield-Menell
LM&Ro
43
20
0
16 Jun 2022
A Primer on Maximum Causal Entropy Inverse Reinforcement Learning
Adam Gleave
Sam Toyer
29
13
0
22 Mar 2022
On the Expressivity of Markov Reward
David Abel
Will Dabney
Anna Harutyunyan
Mark K. Ho
Michael L. Littman
Doina Precup
Satinder Singh
29
82
0
01 Nov 2021
Learning from an Exploring Demonstrator: Optimal Reward Estimation for Bandits
Wenshuo Guo
Kumar Krishna Agrawal
Aditya Grover
Vidya Muthukumar
A. Pananjady
18
8
0
28 Jun 2021
Contextual Inverse Optimization: Offline and Online Learning
Omar Besbes
Yuri R. Fonseca
Ilan Lobel
OffRL
22
15
0
26 Jun 2021
Open Problems in Cooperative AI
Allan Dafoe
Edward Hughes
Yoram Bachrach
Tantum Collins
Kevin R. McKee
Joel Z. Leibo
Kate Larson
T. Graepel
42
200
0
15 Dec 2020
Efficient Exploration of Reward Functions in Inverse Reinforcement Learning via Bayesian Optimization
Sreejith Balakrishnan
Q. Nguyen
Bryan Kian Hsiang Low
Harold Soh
22
26
0
17 Nov 2020
Joint Goal and Strategy Inference across Heterogeneous Demonstrators via Reward Network Distillation
Letian Chen
Rohan R. Paleja
Muyleng Ghuy
Matthew C. Gombolay
30
38
0
02 Jan 2020
Interactive Teaching Algorithms for Inverse Reinforcement Learning
Parameswaran Kamalaruban
R. Devidze
V. Cevher
Adish Singla
27
64
0
28 May 2019
Learning Constraints from Demonstrations
Glen Chou
Dmitry Berenson
N. Ozay
28
21
0
17 Dec 2018
Scalable agent alignment via reward modeling: a research direction
Jan Leike
David M. Krueger
Tom Everitt
Miljan Martic
Vishal Maini
Shane Legg
34
397
0
19 Nov 2018
Multi-task Maximum Entropy Inverse Reinforcement Learning
Adam Gleave
Oliver Habryka
32
39
0
22 May 2018
Learning Robust Rewards with Adversarial Inverse Reinforcement Learning
Justin Fu
Katie Z Luo
Sergey Levine
53
740
0
30 Oct 2017
Deep Reinforcement Learning: An Overview
Yuxi Li
OffRL
VLM
106
1,505
0
25 Jan 2017
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