Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2106.14421
Cited By
Causal Reinforcement Learning using Observational and Interventional Data
28 June 2021
Maxime Gasse
Damien Grasset
Guillaume Gaudron
Pierre-Yves Oudeyer
CML
OffRL
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Causal Reinforcement Learning using Observational and Interventional Data"
31 / 31 papers shown
Parameter Estimation using Reinforcement Learning Causal Curiosity: Limits and Challenges
Miguel Arana-Catania
Weisi Guo
CML
332
0
0
13 May 2025
Generating Causal Explanations of Vehicular Agent Behavioural Interactions with Learnt Reward Profiles
IEEE International Conference on Robotics and Automation (ICRA), 2025
Rhys Howard
Nick Hawes
Lars Kunze
CML
308
1
0
18 Mar 2025
Causality-Based Reinforcement Learning Method for Multi-Stage Robotic Tasks
Jiechao Deng
Ning Tan
289
0
0
05 Mar 2025
Reinforcement Learning for Sociohydrology
T. Roy
Shivendra Srivastava
Beichen Zhang
AI4CE
76
0
0
31 May 2024
Out-of-Distribution Adaptation in Offline RL: Counterfactual Reasoning via Causal Normalizing Flows
Minjae Cho
Jonathan P. How
Chuangchuang Sun
OODD
OffRL
221
1
0
06 May 2024
Why Online Reinforcement Learning is Causal
Oliver Schulte
Pascal Poupart
CML
OffRL
333
2
0
07 Mar 2024
The Essential Role of Causality in Foundation World Models for Embodied AI
Tarun Gupta
Wenbo Gong
Chao Ma
Nick Pawlowski
Agrin Hilmkil
...
Jianfeng Gao
Stefan Bauer
Danica Kragic
Bernhard Schölkopf
Cheng Zhang
311
28
0
06 Feb 2024
Exploiting Causal Graph Priors with Posterior Sampling for Reinforcement Learning
International Conference on Learning Representations (ICLR), 2023
Mirco Mutti
Ric De Santi
Marcello Restelli
Alexander Marx
Giorgia Ramponi
CML
351
6
0
11 Oct 2023
Offline Recommender System Evaluation under Unobserved Confounding
Olivier Jeunen
Ben London
OffRL
216
6
0
08 Sep 2023
Towards Probabilistic Causal Discovery, Inference & Explanations for Autonomous Drones in Mine Surveying Tasks
Ricardo Cannizzaro
Rhys Howard
P. Lewińska
Lars Kunze
272
3
0
19 Aug 2023
Dynamic Deep-Reinforcement-Learning Algorithm in Partially Observable Markov Decision Processes
Saki Omi
Hyo-Sang Shin
Namhoon Cho
Antonios Tsourdos
161
4
0
29 Jul 2023
Causal Reinforcement Learning: A Survey
Zhi-Hong Deng
Jing Jiang
Guodong Long
Chen Zhang
CML
LRM
363
36
0
04 Jul 2023
Functional Causal Bayesian Optimization
Conference on Uncertainty in Artificial Intelligence (UAI), 2023
Limor Gultchin
Virginia Aglietti
Alexis Bellot
Silvia Chiappa
CML
207
10
0
10 Jun 2023
Shift-Robust Molecular Relational Learning with Causal Substructure
Knowledge Discovery and Data Mining (KDD), 2023
Namkyeong Lee
Kanghoon Yoon
Gyoung S. Na
Sein Kim
Chanyoung Park
424
25
0
29 May 2023
CAR-DESPOT: Causally-Informed Online POMDP Planning for Robots in Confounded Environments
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2023
Ricardo Cannizzaro
Lars Kunze
441
16
0
13 Apr 2023
Automated Cyber Defence: A Review
Sanyam Vyas
J. Hannay
A. Bolton
Pete Burnap
345
40
0
08 Mar 2023
Causal Deep Learning
Jeroen Berrevoets
Krzysztof Kacprzyk
Zhaozhi Qian
M. Schaar
CML
AI4CE
320
27
0
03 Mar 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
181
3
0
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
498
65
0
10 Feb 2023
Risk Sensitive Dead-end Identification in Safety-Critical Offline Reinforcement Learning
Taylor W. Killian
S. Parbhoo
Marzyeh Ghassemi
OffRL
281
8
0
13 Jan 2023
Causal Deep Reinforcement Learning Using Observational Data
International Joint Conference on Artificial Intelligence (IJCAI), 2022
Wenxuan Zhu
Chao Yu
Qiaosheng Zhang
CML
OffRL
230
8
0
28 Nov 2022
Causal Discovery of Dynamic Models for Predicting Human Spatial Interactions
International Conference on Software Reuse (ICSR), 2022
Luca Castri
Sariah Mghames
Marc Hanheide
Nicola Bellotto
411
20
0
29 Oct 2022
Using Contrastive Samples for Identifying and Leveraging Possible Causal Relationships in Reinforcement Learning
H. Khadilkar
Hardik Meisheri
OffRL
230
1
0
28 Oct 2022
Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal Reasoning
Neural Information Processing Systems (NeurIPS), 2022
Wenhao Ding
Haohong Lin
Yue Liu
Ding Zhao
LRM
609
51
0
19 Jul 2022
A Meta-Reinforcement Learning Algorithm for Causal Discovery
CLEaR (CLEaR), 2022
Andreas Sauter
Erman Acar
Vincent François-Lavet
CML
293
21
0
18 Jul 2022
On the link between conscious function and general intelligence in humans and machines
Arthur Juliani
Kai Arulkumaran
Shuntaro Sasai
Ryota Kanai
317
28
0
24 Mar 2022
Should I send this notification? Optimizing push notifications decision making by modeling the future
Conor O'Brien
Huasen Wu
Shaodan Zhai
Dalin Guo
Wenzhe Shi
Jonathan J. Hunt
222
7
0
17 Feb 2022
Provably Efficient Causal Model-Based Reinforcement Learning for Systematic Generalization
AAAI Conference on Artificial Intelligence (AAAI), 2022
Mirco Mutti
Ric De Santi
Emanuele Rossi
J. Calderón
Michael M. Bronstein
Marcello Restelli
394
16
0
14 Feb 2022
Causal Multi-Agent Reinforcement Learning: Review and Open Problems
St John Grimbly
Jonathan P. Shock
Arnu Pretorius
241
24
0
12 Nov 2021
Proximal Reinforcement Learning: Efficient Off-Policy Evaluation in Partially Observed Markov Decision Processes
Operational Research (OR), 2021
Andrew Bennett
Nathan Kallus
OffRL
242
57
0
28 Oct 2021
A Survey of Deep Reinforcement Learning in Recommender Systems: A Systematic Review and Future Directions
Xiaocong Chen
Weitong Chen
Julian McAuley
Guanglin Zhou
Xianzhi Wang
AI4TS
275
72
0
08 Sep 2021
1
Page 1 of 1
