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1809.06404
Cited By
Adversarial Imitation via Variational Inverse Reinforcement Learning
17 September 2018
A. H. Qureshi
Byron Boots
Michael C. Yip
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Papers citing
"Adversarial Imitation via Variational Inverse Reinforcement Learning"
13 / 13 papers shown
Title
Learning Transparent Reward Models via Unsupervised Feature Selection
Daulet Baimukashev
G. Alcan
K. Luck
Ville Kyrki
SSL
OffRL
41
0
0
24 Oct 2024
IBCB: Efficient Inverse Batched Contextual Bandit for Behavioral Evolution History
Yi Xu
Weiran Shen
Xiao Zhang
Jun Xu
OffRL
44
0
0
24 Mar 2024
Inverse Decision Modeling: Learning Interpretable Representations of Behavior
Daniel Jarrett
Alihan Huyuk
M. Schaar
AI4CE
22
27
0
28 Oct 2023
Learning Reward for Physical Skills using Large Language Model
Yuwei Zeng
Yiqing Xu
36
6
0
21 Oct 2023
CLARE: Conservative Model-Based Reward Learning for Offline Inverse Reinforcement Learning
Sheng Yue
Guan-Bo Wang
Wei Shao
Zhaofeng Zhang
Sen Lin
Junkai Ren
Junshan Zhang
OffRL
31
20
0
09 Feb 2023
Auto-Encoding Adversarial Imitation Learning
Kaifeng Zhang
Rui Zhao
Ziming Zhang
Yang Gao
19
1
0
22 Jun 2022
Receding Horizon Inverse Reinforcement Learning
Yiqing Xu
Wei Gao
David Hsu
24
14
0
09 Jun 2022
Towards Interpretable Deep Reinforcement Learning Models via Inverse Reinforcement Learning
Yuansheng Xie
Soroush Vosoughi
Saeed Hassanpour
26
2
0
30 Mar 2022
Off-Dynamics Inverse Reinforcement Learning from Hetero-Domain
Yachen Kang
Jinxin Liu
Xin Cao
Donglin Wang
21
3
0
21 Oct 2021
Recent Advances in Leveraging Human Guidance for Sequential Decision-Making Tasks
Ruohan Zhang
F. Torabi
Garrett A. Warnell
Peter Stone
81
28
0
13 Jul 2021
f-IRL: Inverse Reinforcement Learning via State Marginal Matching
Tianwei Ni
Harshit S. Sikchi
Yufei Wang
Tejus Gupta
Lisa Lee
Benjamin Eysenbach
13
72
0
09 Nov 2020
A Unified Bellman Optimality Principle Combining Reward Maximization and Empowerment
Felix Leibfried
Sergio Pascual-Diaz
Jordi Grau-Moya
25
27
0
26 Jul 2019
Motion Planning Networks: Bridging the Gap Between Learning-based and Classical Motion Planners
A. H. Qureshi
Yinglong Miao
Anthony Simeonov
Michael C. Yip
PINN
3DV
34
212
0
13 Jul 2019
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