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2208.06276
Cited By
Sequential Causal Imitation Learning with Unobserved Confounders
12 August 2022
D. Kumor
Junzhe Zhang
Elias Bareinboim
CML
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Papers citing
"Sequential Causal Imitation Learning with Unobserved Confounders"
20 / 20 papers shown
Title
Automatic Reward Shaping from Confounded Offline Data
Mingxuan Li
Junzhe Zhang
Elias Bareinboim
OffRL
OnRL
33
1
0
16 May 2025
A Unifying Framework for Causal Imitation Learning with Hidden Confounders
Daqian Shao
Thomas Kleine Buening
Marta Z. Kwiatkowska
CML
71
1
0
11 Feb 2025
Using Deep Autoregressive Models as Causal Inference Engines
Daniel Jiwoong Im
Kevin Zhang
Nakul Verma
Kyunghyun Cho
CML
19
1
0
27 Sep 2024
Exploring and Addressing Reward Confusion in Offline Preference Learning
Xin Chen
Sam Toyer
Florian Shkurti
OffRL
21
0
0
22 Jul 2024
Disentangled Representations for Causal Cognition
Filippo Torresan
Manuel Baltieri
CML
39
1
0
30 Jun 2024
Fine-Grained Causal Dynamics Learning with Quantization for Improving Robustness in Reinforcement Learning
Inwoo Hwang
Yunhyeok Kwak
Suhyung Choi
Byoung-Tak Zhang
Sanghack Lee
40
1
0
05 Jun 2024
DIGIC: Domain Generalizable Imitation Learning by Causal Discovery
Yang Chen
Yitao Liang
Zhouchen Lin
OOD
CML
36
0
0
29 Feb 2024
Neural Causal Abstractions
K. Xia
Elias Bareinboim
CML
NAI
44
5
0
05 Jan 2024
A Conflict Resolution Dataset Derived from Argoverse-2: Analysis of the Safety and Efficiency Impacts of Autonomous Vehicles at Intersections
Guopeng Li
Yiru Jiao
Simeon C. Calvert
J.W.C. van Lint
14
1
0
26 Aug 2023
Initial State Interventions for Deconfounded Imitation Learning
Samuel Pfrommer
Yatong Bai
Hyunin Lee
Somayeh Sojoudi
CML
30
2
0
29 Jul 2023
TGRL: An Algorithm for Teacher Guided Reinforcement Learning
Idan Shenfeld
Zhang-Wei Hong
Aviv Tamar
Pulkit Agrawal
27
12
0
06 Jul 2023
Causal Reinforcement Learning: A Survey
Zhi-Hong Deng
Jing Jiang
Guodong Long
Chen Zhang
CML
LRM
50
13
0
04 Jul 2023
Delphic Offline Reinforcement Learning under Nonidentifiable Hidden Confounding
Alizée Pace
Hugo Yèche
Bernhard Schölkopf
Gunnar Rätsch
Guy Tennenholtz
OffRL
16
6
0
01 Jun 2023
A Survey on Causal Reinforcement Learning
Yan Zeng
Ruichu Cai
Gang Hua
Libo Huang
Zhifeng Hao
CML
26
27
0
10 Feb 2023
Instrumental Variables in Causal Inference and Machine Learning: A Survey
Anpeng Wu
Kun Kuang
Ruoxuan Xiong
Fei Wu
SyDa
CML
25
6
0
12 Dec 2022
Causal Imitation Learning with Unobserved Confounders
Junzhe Zhang
D. Kumor
Elias Bareinboim
CML
37
72
0
12 Aug 2022
Sequence Model Imitation Learning with Unobserved Contexts
Gokul Swamy
Sanjiban Choudhury
J. Andrew Bagnell
Zhiwei Steven Wu
OffRL
31
25
0
03 Aug 2022
A Relational Intervention Approach for Unsupervised Dynamics Generalization in Model-Based Reinforcement Learning
J. Guo
Biwei Huang
Dacheng Tao
15
20
0
09 Jun 2022
Causal Imitation Learning under Temporally Correlated Noise
Gokul Swamy
Sanjiban Choudhury
J. Andrew Bagnell
Zhiwei Steven Wu
CML
24
29
0
02 Feb 2022
Direct Advantage Estimation
Hsiao-Ru Pan
Nico Gürtler
Alexander Neitz
Bernhard Schölkopf
OffRL
CML
14
11
0
13 Sep 2021
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