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1606.03203
Cited By
Causal Bandits: Learning Good Interventions via Causal Inference
10 June 2016
Finnian Lattimore
Tor Lattimore
Mark D. Reid
CML
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Papers citing
"Causal Bandits: Learning Good Interventions via Causal Inference"
50 / 52 papers shown
Title
Estimating Causal Effects in Networks with Cluster-Based Bandits
Ahmed Sayeed Faruk
Jason Sulskis
Elena Zheleva
CML
73
0
0
07 May 2025
Graph-Dependent Regret Bounds in Multi-Armed Bandits with Interference
Fateme Jamshidi
Mohammad Shahverdikondori
Negar Kiyavash
68
1
0
10 Mar 2025
Asymmetric Graph Error Control with Low Complexity in Causal Bandits
Chen Peng
Di Zhang
Urbashi Mitra
CML
84
4
0
20 Aug 2024
Causally Abstracted Multi-armed Bandits
Fabio Massimo Zennaro
Nicholas Bishop
Joel Dyer
Yorgos Felekis
Anisoara Calinescu
Michael Wooldridge
Theodoros Damoulas
80
3
0
26 Apr 2024
Counterfactual Influence in Markov Decision Processes
Milad Kazemi
Jessica Lally
Ekaterina Tishchenko
Hana Chockler
Nicola Paoletti
96
1
0
13 Feb 2024
Robust Causal Bandits for Linear Models
Zirui Yan
Arpan Mukherjee
Burak Varici
A. Tajer
CML
77
4
0
30 Oct 2023
Optimal Observation-Intervention Trade-Off in Optimisation Problems with Causal Structure
K. Hammar
Neil Dhir
CML
64
0
0
05 Sep 2023
Additive Causal Bandits with Unknown Graph
Alan Malek
Virginia Aglietti
Silvia Chiappa
CML
59
9
0
13 Jun 2023
Functional Causal Bayesian Optimization
Limor Gultchin
Virginia Aglietti
Alexis Bellot
Silvia Chiappa
CML
66
4
0
10 Jun 2023
Learning Good Interventions in Causal Graphs via Covering
Ayush Sawarni
Rahul Madhavan
Gaurav Sinha
Siddharth Barman
CML
41
4
0
08 May 2023
Causal Bandits without Graph Learning
Mikhail Konobeev
Jalal Etesami
Negar Kiyavash
CML
58
8
0
26 Jan 2023
Linear Combinatorial Semi-Bandit with Causally Related Rewards
Behzad Nourani-Koliji
Saeed Ghoorchian
S. Maghsudi
CML
69
4
0
25 Dec 2022
Causal Deep Reinforcement Learning Using Observational Data
Wenxuan Zhu
Chao Yu
Qiaosheng Zhang
CML
OffRL
73
5
0
28 Nov 2022
Model-based Causal Bayesian Optimization
Scott Sussex
A. Makarova
Andreas Krause
CML
92
25
0
18 Nov 2022
Active Learning for Optimal Intervention Design in Causal Models
Jiaqi Zhang
Louis V. Cammarata
C. Squires
T. Sapsis
Caroline Uhler
CML
109
30
0
10 Sep 2022
Hindsight Learning for MDPs with Exogenous Inputs
Sean R. Sinclair
Felipe Vieira Frujeri
Ching-An Cheng
Luke Marshall
Hugo Barbalho
Jingling Li
Jennifer Neville
Ishai Menache
Adith Swaminathan
69
23
0
13 Jul 2022
Combinatorial Pure Exploration of Causal Bandits
Nuoya Xiong
Wei Chen
CML
126
9
0
16 Jun 2022
A Relational Intervention Approach for Unsupervised Dynamics Generalization in Model-Based Reinforcement Learning
Jinpei Guo
Biwei Huang
Dacheng Tao
66
20
0
09 Jun 2022
Uplifting Bandits
Yu-Guan Hsieh
S. Kasiviswanathan
Branislav Kveton
40
1
0
08 Jun 2022
Combinatorial Causal Bandits
Shi Feng
Wei Chen
CML
92
13
0
04 Jun 2022
Causal Structure Learning: a Combinatorial Perspective
C. Squires
Caroline Uhler
CML
126
47
0
02 Jun 2022
Survey on Fair Reinforcement Learning: Theory and Practice
Pratik Gajane
A. Saxena
M. Tavakol
George Fletcher
Mykola Pechenizkiy
FaML
OffRL
101
15
0
20 May 2022
Evaluation Methods and Measures for Causal Learning Algorithms
Lu Cheng
Ruocheng Guo
Raha Moraffah
Paras Sheth
K. S. Candan
Huan Liu
CML
ELM
112
54
0
07 Feb 2022
Chronological Causal Bandits
Neil Dhir
27
0
0
03 Dec 2021
Intervention Efficient Algorithm for Two-Stage Causal MDPs
Rahul Madhavan
Aurghya Maiti
Gaurav Sinha
Siddharth Barman
46
1
0
01 Nov 2021
On Covariate Shift of Latent Confounders in Imitation and Reinforcement Learning
Guy Tennenholtz
Assaf Hallak
Gal Dalal
Shie Mannor
Gal Chechik
Uri Shalit
OOD
OffRL
123
16
0
13 Oct 2021
Achieving Counterfactual Fairness for Causal Bandit
Wen Huang
Lu Zhang
Xintao Wu
CML
159
22
0
21 Sep 2021
Bandit Algorithms for Precision Medicine
Yangyi Lu
Ziping Xu
Ambuj Tewari
113
14
0
10 Aug 2021
A Causal Bandit Approach to Learning Good Atomic Interventions in Presence of Unobserved Confounders
Aurghya Maiti
V. Nair
Gaurav Sinha
CML
48
16
0
06 Jul 2021
Matching a Desired Causal State via Shift Interventions
Jiaqi Zhang
C. Squires
Caroline Uhler
95
16
0
05 Jul 2021
Causal Bandits with Unknown Graph Structure
Yangyi Lu
A. Meisami
Ambuj Tewari
CML
86
45
0
05 Jun 2021
Invariant Policy Learning: A Causal Perspective
Sorawit Saengkyongam
Nikolaj Thams
J. Peters
Niklas Pfister
CML
OffRL
87
15
0
01 Jun 2021
Causal Markov Decision Processes: Learning Good Interventions Efficiently
Yangyi Lu
A. Meisami
Ambuj Tewari
57
10
0
15 Feb 2021
The Causal Learning of Retail Delinquency
Yiyan Huang
Cheuk Hang Leung
Xing Yan
Qi Wu
Nanbo Peng
DongDong Wang
Zhixiang Huang
CML
68
8
0
17 Dec 2020
Budgeted and Non-budgeted Causal Bandits
V. Nair
Vishakha Patil
Gaurav Sinha
83
41
0
13 Dec 2020
Split-Treatment Analysis to Rank Heterogeneous Causal Effects for Prospective Interventions
Yanbo Xu
Divyat Mahajan
Liz Manrao
Amit Sharma
Emre Kıcıman
CML
48
2
0
11 Nov 2020
Algorithms for Causal Reasoning in Probability Trees
Tim Genewein
Tom McGrath
Grégoire Delétang
Vladimir Mikulik
Miljan Martic
Shane Legg
Pedro A. Ortega
TPM
CML
55
16
0
23 Oct 2020
Causal Structure Learning: a Bayesian approach based on random graphs
Mauricio Gonzalez-Soto
Ivan Feliciano-Avelino
L. Sucar
Hugo Jair Escalante
CML
14
0
0
13 Oct 2020
Multi-task Causal Learning with Gaussian Processes
Virginia Aglietti
Theodoros Damoulas
Mauricio A. Alvarez
Javier I. González
CML
76
18
0
27 Sep 2020
Provably Efficient Causal Reinforcement Learning with Confounded Observational Data
Lingxiao Wang
Zhuoran Yang
Zhaoran Wang
OffRL
86
48
0
22 Jun 2020
Bandits with Partially Observable Confounded Data
Guy Tennenholtz
Uri Shalit
Shie Mannor
Yonathan Efroni
OffRL
69
24
0
11 Jun 2020
Causality and Batch Reinforcement Learning: Complementary Approaches To Planning In Unknown Domains
James Bannon
Bradford T. Windsor
Wenbo Song
Tao Li
CML
OOD
OffRL
73
20
0
03 Jun 2020
Combining Offline Causal Inference and Online Bandit Learning for Data Driven Decision
Li Ye
Yishi Lin
Hong Xie
John C. S. Lui
CML
92
11
0
16 Jan 2020
Towards Optimal and Efficient Best Arm Identification in Linear Bandits
Mohammadi Zaki
Avinash Mohan
Aditya Gopalan
86
12
0
05 Nov 2019
Rarely-switching linear bandits: optimization of causal effects for the real world
B. Lansdell
Sofia Triantafillou
Konrad Paul Kording
55
4
0
30 May 2019
Causal Reasoning from Meta-reinforcement Learning
Ishita Dasgupta
Jane X. Wang
Silvia Chiappa
Jovana Mitrović
Pedro A. Ortega
David Raposo
Edward Hughes
Peter W. Battaglia
M. Botvinick
Z. Kurth-Nelson
CML
LRM
71
122
0
23 Jan 2019
Deep Reinforcement Learning
Yuxi Li
VLM
OffRL
194
144
0
15 Oct 2018
A Survey of Learning Causality with Data: Problems and Methods
Ruocheng Guo
Lu Cheng
Jundong Li
P. R. Hahn
Huan Liu
CML
88
168
0
25 Sep 2018
Playing against Nature: causal discovery for decision making under uncertainty
Mauricio Gonzalez-Soto
L. Sucar
Hugo Jair Escalante
CML
27
9
0
03 Jul 2018
Causal Bandits with Propagating Inference
Akihiro Yabe
Daisuke Hatano
Hanna Sumita
Shinji Ito
Naonori Kakimura
Takuro Fukunaga
Ken-ichi Kawarabayashi
CML
62
33
0
06 Jun 2018
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