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Repeated Inverse Reinforcement Learning

Repeated Inverse Reinforcement Learning

15 May 2017
Kareem Amin
Nan Jiang
Satinder Singh
ArXivPDFHTML

Papers citing "Repeated Inverse Reinforcement Learning"

18 / 18 papers shown
Title
Agency Is Frame-Dependent
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Deep Reinforcement Learning: An Overview
Yuxi Li
OffRL
VLM
106
1,505
0
25 Jan 2017
1