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2012.09092
Cited By
Sample-Efficient Reinforcement Learning via Counterfactual-Based Data Augmentation
16 December 2020
Chaochao Lu
Erdun Gao
Ke Wang
José Miguel Hernández-Lobato
Kun Zhang
Bernhard Schölkopf
CML
OOD
OffRL
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Papers citing
"Sample-Efficient Reinforcement Learning via Counterfactual-Based Data Augmentation"
41 / 41 papers shown
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Partially Functional Dynamic Backdoor Diffusion-based Causal Model
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203
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Causality-aligned Prompt Learning via Diffusion-based Counterfactual Generation
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Ruoyu Wang
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Mingming Gong
Lina Yao
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208
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0
26 Jul 2025
Counterfactual reasoning: an analysis of in-context emergence
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Bernhard Schölkopf
Siyuan Guo
ReLM
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470
2
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05 Jun 2025
Generative Framework for Personalized Persuasion: Inferring Causal, Counterfactual, and Latent Knowledge
User Modeling, Adaptation, and Personalization (UMAP), 2025
Donghuo Zeng
Roberto Legaspi
Yuewen Sun
Xinshuai Dong
Kazushi Ikeda
Peter Spirtes
Kun Zhang
CML
379
2
0
08 Apr 2025
Towards Better Sample Efficiency in Multi-Agent Reinforcement Learning via Exploration
Amir Baghi
Jens Sjölund
Joakim Bergdahl
Linus Gisslén
Alessandro Sestini
414
1
0
17 Mar 2025
Learning Counterfactual Outcomes Under Rank Preservation
Peng Wu
Haoxuan Li
Chunyuan Zheng
Yan Zeng
Jiawei Chen
Yang Liu
Ruocheng Guo
Jianchao Tan
352
4
0
10 Feb 2025
Skills Regularized Task Decomposition for Multi-task Offline Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2024
Minjong Yoo
Sangwoo Cho
Honguk Woo
OffRL
315
11
0
28 Aug 2024
OASIS: Conditional Distribution Shaping for Offline Safe Reinforcement Learning
Yi-Fan Yao
Zhepeng Cen
Wenhao Ding
Hao-ming Lin
Shiqi Liu
Tingnan Zhang
Wenhao Yu
Ding Zhao
OffRL
OnRL
297
12
0
19 Jul 2024
Fine-Grained Causal Dynamics Learning with Quantization for Improving Robustness in Reinforcement Learning
Inwoo Hwang
Yunhyeok Kwak
Jaein Kim
Byoung-Tak Zhang
Sanghack Lee
358
7
0
05 Jun 2024
Causal Action Influence Aware Counterfactual Data Augmentation
Núria Armengol Urpí
Marco Bagatella
Marin Vlastelica
Georg Martius
CML
234
11
0
29 May 2024
Counterfactual Reasoning Using Predicted Latent Personality Dimensions for Optimizing Persuasion Outcome
Donghuo Zeng
Roberto Legaspi
Yuewen Sun
Xinshuai Dong
Kazushi Ikeda
Peter Spirtes
Kun Zhang
266
4
0
21 Apr 2024
Why Online Reinforcement Learning is Causal
Oliver Schulte
Pascal Poupart
CML
OffRL
348
2
0
07 Mar 2024
Counterfactual Influence in Markov Decision Processes
Milad Kazemi
Jessica Lally
Ekaterina Tishchenko
Hana Chockler
Nicola Paoletti
364
2
0
13 Feb 2024
Causal Bayesian Optimization via Exogenous Distribution Learning
Shaogang Ren
Xiaoning Qian
620
2
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03 Feb 2024
Natural Counterfactuals With Necessary Backtracking
Guang-Yuan Hao
Jiji Zhang
Erdun Gao
Hao Wang
Kun Zhang
246
1
0
02 Feb 2024
Closing the Gap between TD Learning and Supervised Learning -- A Generalisation Point of View
International Conference on Learning Representations (ICLR), 2024
Raj Ghugare
Matthieu Geist
Glen Berseth
Benjamin Eysenbach
OffRL
366
27
0
20 Jan 2024
Guided Data Augmentation for Offline Reinforcement Learning and Imitation Learning
Nicholas Corrado
Yu-Tao Qu
John U. Balis
Adam Labiosa
Josiah P. Hanna
OffRL
369
10
0
27 Oct 2023
Agent-Specific Effects: A Causal Effect Propagation Analysis in Multi-Agent MDPs
International Conference on Machine Learning (ICML), 2023
Stelios Triantafyllou
A. Sukovic
Debmalya Mandal
Goran Radanović
520
0
0
17 Oct 2023
Offline Imitation Learning with Variational Counterfactual Reasoning
Neural Information Processing Systems (NeurIPS), 2023
Bowei He
Zexu Sun
Jinxin Liu
Shuai Zhang
Xu Chen
Chen Ma
OffRL
328
10
0
07 Oct 2023
Seeing is not Believing: Robust Reinforcement Learning against Spurious Correlation
Neural Information Processing Systems (NeurIPS), 2023
Wenhao Ding
Laixi Shi
Yuejie Chi
Ding Zhao
OOD
398
38
0
15 Jul 2023
Causal Reinforcement Learning: A Survey
Zhi-Hong Deng
Jing Jiang
Guodong Long
Chen Zhang
CML
LRM
376
36
0
04 Jul 2023
Reinforcement Learning with Temporal-Logic-Based Causal Diagrams
International Cross-Domain Conference on Machine Learning and Knowledge Extraction (CD-MAKE), 2023
Yashi Paliwal
Rajarshi Roy
Jean-Raphael Gaglione
Nasim Baharisangari
Daniel Neider
Xiaoming Duan
Ufuk Topcu
Zhe Xu
202
5
0
23 Jun 2023
VIBR: Learning View-Invariant Value Functions for Robust Visual Control
Tom Dupuis
Jaonary Rabarisoa
Q. C. Pham
David Filliat
319
0
0
14 Jun 2023
Finding Counterfactually Optimal Action Sequences in Continuous State Spaces
Neural Information Processing Systems (NeurIPS), 2023
Stratis Tsirtsis
Manuel Gomez Rodriguez
CML
OffRL
404
14
0
06 Jun 2023
Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity Model
Neural Information Processing Systems (NeurIPS), 2023
Valentyn Melnychuk
Dennis Frauen
Stefan Feuerriegel
710
14
0
02 Jun 2023
Simple Noisy Environment Augmentation for Reinforcement Learning
Raad Khraishi
Ramin Okhrati
OffRL
181
2
0
04 May 2023
Q-Cogni: An Integrated Causal Reinforcement Learning Framework
IEEE Transactions on Artificial Intelligence (IEEE TAI), 2023
C. Cunha
Wen Liu
T. French
Lin Wang
187
3
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26 Feb 2023
A Survey on Causal Reinforcement Learning
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
Yan Zeng
Ruichu Cai
Gang Hua
Libo Huang
Zijian Li
CML
513
66
0
10 Feb 2023
Counterfactual Identifiability of Bijective Causal Models
International Conference on Machine Learning (ICML), 2023
Arash Nasr-Esfahany
MohammadIman Alizadeh
Devavrat Shah
CML
BDL
504
39
0
04 Feb 2023
Counterfactual (Non-)identifiability of Learned Structural Causal Models
Arash Nasr-Esfahany
Emre Kıcıman
226
16
0
22 Jan 2023
MoCoDA: Model-based Counterfactual Data Augmentation
Neural Information Processing Systems (NeurIPS), 2022
Silviu Pitis
Elliot Creager
Ajay Mandlekar
Animesh Garg
OffRL
216
52
0
20 Oct 2022
Causal Dynamics Learning for Task-Independent State Abstraction
International Conference on Machine Learning (ICML), 2022
Zizhao Wang
Xuesu Xiao
Zifan Xu
Yuke Zhu
Peter Stone
CML
298
75
0
27 Jun 2022
Bootstrapped Transformer for Offline Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2022
Kerong Wang
Hanye Zhao
Xufang Luo
Kan Ren
Weinan Zhang
Dongsheng Li
OffRL
334
52
0
17 Jun 2022
A Relational Intervention Approach for Unsupervised Dynamics Generalization in Model-Based Reinforcement Learning
International Conference on Learning Representations (ICLR), 2022
Jinpei Guo
Biwei Huang
Dacheng Tao
232
21
0
09 Jun 2022
Diffusion Causal Models for Counterfactual Estimation
CLEaR (CLEaR), 2022
Pedro Sanchez
Sotirios A. Tsaftaris
DiffM
BDL
361
104
0
21 Feb 2022
Learning Generalized Gumbel-max Causal Mechanisms
Neural Information Processing Systems (NeurIPS), 2021
Guy Lorberbom
Daniel D. Johnson
Chris J. Maddison
Daniel Tarlow
Tamir Hazan
CML
209
21
0
11 Nov 2021
Accelerating the Learning of TAMER with Counterfactual Explanations
Jakob Karalus
F. Lindner
OffRL
233
7
0
03 Aug 2021
Independent mechanism analysis, a new concept?
Neural Information Processing Systems (NeurIPS), 2021
Luigi Gresele
Julius von Kügelgen
Vincent Stimper
Bernhard Schölkopf
M. Besserve
CML
422
119
0
09 Jun 2021
Causal Learning for Socially Responsible AI
International Joint Conference on Artificial Intelligence (IJCAI), 2021
Lu Cheng
Ahmadreza Mosallanezhad
Paras Sheth
Huan Liu
371
15
0
25 Apr 2021
Towards Causal Representation Learning
Bernhard Schölkopf
Francesco Locatello
Stefan Bauer
Nan Rosemary Ke
Nal Kalchbrenner
Anirudh Goyal
Yoshua Bengio
OOD
CML
AI4CE
421
350
0
22 Feb 2021
1
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