ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2208.06276
  4. Cited By
Sequential Causal Imitation Learning with Unobserved Confounders

Sequential Causal Imitation Learning with Unobserved Confounders

12 August 2022
D. Kumor
Junzhe Zhang
Elias Bareinboim
    CML
ArXivPDFHTML

Papers citing "Sequential Causal Imitation Learning with Unobserved Confounders"

20 / 20 papers shown
Title
Automatic Reward Shaping from Confounded Offline Data
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Direct Advantage Estimation
Hsiao-Ru Pan
Nico Gürtler
Alexander Neitz
Bernhard Schölkopf
OffRL
CML
14
11
0
13 Sep 2021
1