Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning

2 July 2021

Stefan Bauer

Danilo Jimenez Rezende

Papers citing "Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning"

45 / 45 papers shown

Title
Parameter Estimation using Reinforcement Learning Causal Curiosity: Limits and Challenges Miguel Arana-Catania Weisi Guo CML 18 0 0 13 May 2025
Towards Empowerment Gain through Causal Structure Learning in Model-Based RL Hongye Cao Fan Feng Meng Fang Shaokang Dong Tianpei Yang Jing Huo Yang Gao 56 1 0 14 Feb 2025
Dynamical-VAE-based Hindsight to Learn the Causal Dynamics of Factored-POMDPs Chao Han Debabrota Basu M. Mangan Eleni Vasilaki Aditya Gilra 32 0 0 12 Nov 2024
Object-Centric Temporal Consistency via Conditional Autoregressive Inductive Biases Cristian Meo Akihiro Nakano Mircea Lica Aniket Didolkar Masahiro Suzuki Anirudh Goyal Mengmi Zhang Justin Dauwels Y. Matsuo Yoshua Bengio OCL 33 2 0 21 Oct 2024
Zero-Shot Object-Centric Representation Learning Aniket Didolkar Andrii Zadaianchuk Anirudh Goyal Mike Mozer Yoshua Bengio Georg Martius Maximilian Seitzer VLM OCL 37 4 0 17 Aug 2024
Boosting Efficiency in Task-Agnostic Exploration through Causal Knowledge Yupei Yang Biwei Huang Shikui Tu Lei Xu CML 23 1 0 30 Jul 2024
Disentangled Representations for Causal Cognition Filippo Torresan Manuel Baltieri CML 27 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 27 1 0 05 Jun 2024
Learning Causal Dynamics Models in Object-Oriented Environments Zhongwei Yu Jingqing Ruan Dengpeng Xing 33 1 0 21 May 2024
Identifiable Latent Neural Causal Models Yuhang Liu Zhen Zhang Dong Gong Mingming Gong Biwei Huang A. Hengel Kun Zhang Javen Qinfeng Shi CML OOD 27 7 0 23 Mar 2024
Imagine the Unseen World: A Benchmark for Systematic Generalization in Visual World Models Yeongbin Kim Gautam Singh Junyeong Park Çağlar Gülçehre Sungjin Ahn OCL VLM 37 1 0 15 Nov 2023
Identifiable Latent Polynomial Causal Models Through the Lens of Change Yuhang Liu Zhen Zhang Dong Gong Mingming Gong Biwei Huang A. Hengel Kun Zhang Javen Qinfeng Shi 15 13 0 24 Oct 2023
Neurosymbolic Grounding for Compositional World Models Atharva Sehgal Arya Grayeli Jennifer J. Sun Swarat Chaudhuri 25 5 0 19 Oct 2023
Causal Reinforcement Learning: A Survey Zhi-Hong Deng Jing Jiang Guodong Long Chen Zhang CML LRM 40 13 0 04 Jul 2023
Cycle Consistency Driven Object Discovery Aniket Didolkar Anirudh Goyal Yoshua Bengio OCL 19 8 0 03 Jun 2023
Explainable Reinforcement Learning via a Causal World Model Zhongwei Yu Jingqing Ruan Dengpeng Xing CML 9 15 0 04 May 2023
Masked Images Are Counterfactual Samples for Robust Fine-tuning Yao Xiao Ziyi Tang Pengxu Wei Cong Liu Liang Lin 49 16 0 06 Mar 2023
Intrinsic Physical Concepts Discovery with Object-Centric Predictive Models Qu Tang Xiangyu Zhu Zhen Lei Zhaoxiang Zhang OCL 50 8 0 03 Mar 2023
Modular Deep Learning Jonas Pfeiffer Sebastian Ruder Ivan Vulić E. Ponti MoMe OOD 19 73 0 22 Feb 2023
Reusable Slotwise Mechanisms Trang Nguyen Amin Mansouri Kanika Madan Khuong N. Nguyen Kartik Ahuja Dianbo Liu Yoshua Bengio OCL 20 4 0 21 Feb 2023
A Review of the Role of Causality in Developing Trustworthy AI Systems Niloy Ganguly Dren Fazlija Maryam Badar M. Fisichella Sandipan Sikdar ... Koustav Rudra Manolis Koubarakis Gourab K. Patro W. Z. E. Amri Wolfgang Nejdl CML 26 23 0 14 Feb 2023
An Investigation into Pre-Training Object-Centric Representations for Reinforcement Learning Jaesik Yoon Yi-Fu Wu Heechul Bae Sungjin Ahn OCL 17 39 0 09 Feb 2023
Unlocking Slot Attention by Changing Optimal Transport Costs Yan Zhang David W. Zhang Simon Lacoste-Julien Gertjan J. Burghouts Cees G. M. Snoek OCL 24 11 0 30 Jan 2023
A Short Survey of Systematic Generalization Yuanpeng Li AI4CE 22 1 0 22 Nov 2022
Learning Latent Structural Causal Models Jithendaraa Subramanian Yashas Annadani Ivaxi Sheth Nan Rosemary Ke T. Deleu Stefan Bauer Derek Nowrouzezahrai Samira Ebrahimi Kahou CML 22 7 0 24 Oct 2022
Discrete Key-Value Bottleneck Frederik Trauble Anirudh Goyal Nasim Rahaman Michael C. Mozer Kenji Kawaguchi Yoshua Bengio Bernhard Schölkopf CLL 13 22 0 22 Jul 2022
Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal Reasoning Wenhao Ding Haohong Lin Bo-wen Li Ding Zhao LRM 16 37 0 19 Jul 2022
Causal Dynamics Learning for Task-Independent State Abstraction Zizhao Wang Xuesu Xiao Zifan Xu Yuke Zhu Peter Stone CML 11 52 0 27 Jun 2022
Towards Understanding How Machines Can Learn Causal Overhypotheses Eliza Kosoy David M. Chan Adrian Liu Jasmine Collins Bryanna Kaufmann Sandy Han Huang Jessica B. Hamrick John F. Canny Nan Rosemary Ke Alison Gopnik CML AI4CE 21 18 0 16 Jun 2022
On the Generalization and Adaption Performance of Causal Models Nino Scherrer Anirudh Goyal Stefan Bauer Yoshua Bengio Nan Rosemary Ke CML OOD BDL TTA 20 8 0 09 Jun 2022
On Neural Architecture Inductive Biases for Relational Tasks Giancarlo Kerg Sarthak Mittal David Rolnick Yoshua Bengio Blake A. Richards Guillaume Lajoie OOD 14 24 0 09 Jun 2022
Is a Modular Architecture Enough? Sarthak Mittal Yoshua Bengio Guillaume Lajoie 11 47 0 06 Jun 2022
Test-time Adaptation with Slot-Centric Models Mihir Prabhudesai Anirudh Goyal S. Paul Sjoerd van Steenkiste Mehdi S. M. Sajjadi Gaurav Aggarwal Thomas Kipf Deepak Pathak Katerina Fragkiadaki TTA 11 8 0 21 Mar 2022
The Sandbox Environment for Generalizable Agent Research (SEGAR) R. Devon Hjelm Bogdan Mazoure Florian Golemo Felipe Vieira Frujeri Mihai Jalobeanu Andrey Kolobov LLMAG LRM 11 1 0 19 Mar 2022
Learning Causal Overhypotheses through Exploration in Children and Computational Models Eliza Kosoy Adrian Liu Jasmine Collins David M. Chan Jessica B. Hamrick Nan Rosemary Ke Sandy H Huang Bryanna Kaufmann John F. Canny Alison Gopnik CML 4 9 0 21 Feb 2022
Compositional Attention: Disentangling Search and Retrieval Sarthak Mittal Sharath Chandra Raparthy Irina Rish Yoshua Bengio Guillaume Lajoie 22 20 0 18 Oct 2021
Disentanglement via Mechanism Sparsity Regularization: A New Principle for Nonlinear ICA Sébastien Lachapelle Pau Rodríguez López Yash Sharma Katie Everett Rémi Le Priol Alexandre Lacoste Simon Lacoste-Julien CML OOD 20 133 0 21 Jul 2021
The Role of Pretrained Representations for the OOD Generalization of Reinforcement Learning Agents Andrea Dittadi Frederik Trauble M. Wuthrich Felix Widmaier Peter V. Gehler Ole Winther Francesco Locatello Olivier Bachem Bernhard Schölkopf Stefan Bauer OOD 30 16 0 12 Jul 2021
Dynamics of specialization in neural modules under resource constraints Gabriel Béna Dan F. M. Goodman 8 0 0 04 Jun 2021
Did I do that? Blame as a means to identify controlled effects in reinforcement learning Oriol Corcoll Youssef Mohamed Raul Vicente 16 3 0 01 Jun 2021
D'ya like DAGs? A Survey on Structure Learning and Causal Discovery M. Vowels Necati Cihan Camgöz Richard Bowden CML 18 294 0 03 Mar 2021
Neural Production Systems: Learning Rule-Governed Visual Dynamics Anirudh Goyal Aniket Didolkar Nan Rosemary Ke Charles Blundell Philippe Beaudoin N. Heess Michael C. Mozer Yoshua Bengio OCL 28 82 0 02 Mar 2021
Inductive Biases for Deep Learning of Higher-Level Cognition Anirudh Goyal Yoshua Bengio AI4CE 13 343 0 30 Nov 2020
Learning Object-Centric Video Models by Contrasting Sets Sindy Lowe Klaus Greff Rico Jonschkowski Alexey Dosovitskiy Thomas Kipf SSL OCL 9 24 0 20 Nov 2020
Interaction Networks for Learning about Objects, Relations and Physics Peter W. Battaglia Razvan Pascanu Matthew Lai Danilo Jimenez Rezende Koray Kavukcuoglu AI4CE OCL PINN GNN 258 1,398 0 01 Dec 2016