Causal Curiosity: RL Agents Discovering Self-supervised Experiments for Causal Representation Learning

7 October 2020

Sumedh Anand Sontakke

Papers citing "Causal Curiosity: RL Agents Discovering Self-supervised Experiments for Causal Representation Learning"

46 / 46 papers shown

Title
Knowledge capture, adaptation and composition (KCAC): A framework for cross-task curriculum learning in robotic manipulation Xinrui Wang Yan Jin 29 0 0 15 May 2025
Parameter Estimation using Reinforcement Learning Causal Curiosity: Limits and Challenges Miguel Arana-Catania Weisi Guo CML 30 0 0 13 May 2025
Towards Causal Model-Based Policy Optimization Alberto Caron V. Mavroudis Chris Hicks 58 0 0 12 Mar 2025
CAIMAN: Causal Action Influence Detection for Sample-efficient Loco-manipulation Yuanchen Yuan Jin Cheng Núria Armengol Urpí Stelian Coros 74 1 0 02 Feb 2025
Active Causal Structure Learning with Latent Variables: Towards Learning to Detour in Autonomous Robots Pablo de los Riscos Fernando Corbacho CML 28 0 0 28 Oct 2024
Causal Reinforcement Learning for Optimisation of Robot Dynamics in Unknown Environments Julian Gerald Dcruz Sam Mahoney Jia Yun Chua Adoundeth Soukhabandith John Mugabe Weisi Guo Miguel Arana-Catania 24 0 0 20 Sep 2024
Spacecraft inertial parameters estimation using time series clustering and reinforcement learning Konstantinos Platanitis M. Arana-Catania Leonardo Capicchiano Saurabh Upadhyay Leonard Felicetti 16 0 0 06 Aug 2024
Wind Estimation in Unmanned Aerial Vehicles with Causal Machine Learning Abdulaziz Alwalan Miguel Arana-Catania 29 0 0 01 Jul 2024
Disentangled Representations for Causal Cognition Filippo Torresan Manuel Baltieri CML 49 1 0 30 Jun 2024
REVEAL-IT: REinforcement learning with Visibility of Evolving Agent poLicy for InTerpretability Shuang Ao Simon Khan Haris Aziz Flora D. Salim 37 0 0 20 Jun 2024
Open Problem: Active Representation Learning Nikola Milosevic Gesine Müller Jan Huisken Nico Scherf 31 1 0 06 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 45 1 0 05 Jun 2024
Exploring CausalWorld: Enhancing robotic manipulation via knowledge transfer and curriculum learning Xinrui Wang Yan Jin 40 1 0 25 Mar 2024
Causality from Bottom to Top: A Survey Abraham Itzhak Weinberg Cristiano Premebida Diego Resende Faria CML 42 1 0 17 Mar 2024
Autonomous Robotic Arm Manipulation for Planetary Missions using Causal Machine Learning C. McDonnell M. Arana-Catania S. Upadhyay CML 11 2 0 01 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 34 15 0 06 Feb 2024
CLIP-Motion: Learning Reward Functions for Robotic Actions Using Consecutive Observations Xuzhe Dang Stefan Edelkamp 37 4 0 06 Nov 2023
A Review and Roadmap of Deep Causal Model from Different Causal Structures and Representations Hang Chen Keqing Du Chenguang Li Xinyu Yang 49 2 0 02 Nov 2023
Specify Robust Causal Representation from Mixed Observations Girish A. Koushik Xin-Qiang Cai Furui Liu Weinan Zhang Jun Wang CML OOD 23 7 0 21 Oct 2023
ELDEN: Exploration via Local Dependencies Jiaheng Hu Zizhao Wang Peter Stone Roberto Martin-Martin 43 8 0 12 Oct 2023
Invariant Learning via Probability of Sufficient and Necessary Causes Girish A. Koushik Zhen Fang Yonggang Zhang Yali Du Furui Liu Jean-François Ton Jianhong Wang Jun Wang OODD 43 13 0 22 Sep 2023
Causal Reinforcement Learning: A Survey Zhi-Hong Deng Jing Jiang Guodong Long Chen Zhang CML LRM 50 13 0 04 Jul 2023
Bad Habits: Policy Confounding and Out-of-Trajectory Generalization in RL Miguel Suau M. Spaan F. Oliehoek CML 27 4 0 04 Jun 2023
Conditional Mutual Information for Disentangled Representations in Reinforcement Learning Mhairi Dunion Trevor A. McInroe K. Luck Josiah P. Hanna Stefano V. Albrecht OOD DRL 22 17 0 23 May 2023
A Survey on Causal Reinforcement Learning Yan Zeng Ruichu Cai Gang Hua Libo Huang Zhifeng Hao CML 31 27 0 10 Feb 2023
Causal Counterfactuals for Improving the Robustness of Reinforcement Learning Tom He Jasmina Gajcin Ivana Dusparic CML 13 5 0 02 Nov 2022
Causality-driven Hierarchical Structure Discovery for Reinforcement Learning Shaohui Peng Xin Hu Rui Zhang Ke Tang Jiaming Guo ... Xishan Zhang Zidong Du Ling Li Qi Guo Yunji Chen 21 22 0 13 Oct 2022
Intrinsically Motivated Learning of Causal World Models Louis Annabi CLL CML DRL LRM 26 1 0 09 Aug 2022
Homomorphism Autoencoder -- Learning Group Structured Representations from Observed Transitions Hamza Keurti Hsiao-Ru Pan M. Besserve Benjamin Grewe Bernhard Schölkopf AI4CE 29 13 0 25 Jul 2022
Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal Reasoning Wenhao Ding Haohong Lin Bo-wen Li Ding Zhao LRM 25 37 0 19 Jul 2022
Causal Dynamics Learning for Task-Independent State Abstraction Zizhao Wang Xuesu Xiao Zifan Xu Yuke Zhu Peter Stone CML 32 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 28 18 0 16 Jun 2022
BYOL-Explore: Exploration by Bootstrapped Prediction Z. Guo S. Thakoor Miruna Pislar Bernardo Avila-Pires Florent Altché ... Yunhao Tang Michal Valko Rémi Munos M. G. Azar Bilal Piot 22 68 0 16 Jun 2022
Towards a Solution to Bongard Problems: A Causal Approach Salahedine Youssef Matej Zečević Devendra Singh Dhami Kristian Kersting 29 5 0 14 Jun 2022
Adversarial Counterfactual Environment Model Learning Xiong-Hui Chen Yang Yu Zhenghong Zhu Zhihua Yu Zhen-Yu Chen ... Yinan Wu Hongqiu Wu Rongjun Qin Rui Ding Fangsheng Huang CML OffRL 29 12 0 10 Jun 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 22 9 0 21 Feb 2022
Generalizable Information Theoretic Causal Representation Girish A. Koushik Xin-Qiang Cai Furui Liu Xu Chen Zhitang Chen Jianye Hao Jun Wang OOD CML 32 1 0 17 Feb 2022
Physical Derivatives: Computing policy gradients by physical forward-propagation Arash Mehrjou Ashkan Soleymani Stefan Bauer Bernhard Schölkopf 38 0 0 15 Jan 2022
GalilAI: Out-of-Task Distribution Detection using Causal Active Experimentation for Safe Transfer RL Sumedh Anand Sontakke Stephen Iota Zizhao Hu Arash Mehrjou Laurent Itti Bernhard Schölkopf OODD 12 2 0 29 Oct 2021
Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning Nan Rosemary Ke Aniket Didolkar Sarthak Mittal Anirudh Goyal Guillaume Lajoie Stefan Bauer Danilo Jimenez Rezende Yoshua Bengio Michael C. Mozer C. Pal CML 29 54 0 02 Jul 2021
Causal Influence Detection for Improving Efficiency in Reinforcement Learning Maximilian Seitzer Bernhard Schölkopf Georg Martius CML 23 75 0 07 Jun 2021
Towards Deeper Deep Reinforcement Learning with Spectral Normalization Johan Bjorck Carla P. Gomes Kilian Q. Weinberger 19 23 0 02 Jun 2021
Causal Reasoning in Simulation for Structure and Transfer Learning of Robot Manipulation Policies Timothy E. Lee Jialiang Zhao A. Sawhney Siddharth Girdhar Oliver Kroemer CML 21 32 0 31 Mar 2021
D'ya like DAGs? A Survey on Structure Learning and Causal Discovery M. Vowels Necati Cihan Camgöz Richard Bowden CML 39 297 0 03 Mar 2021
Weakly-Supervised Disentanglement Without Compromises Francesco Locatello Ben Poole Gunnar Rätsch Bernhard Schölkopf Olivier Bachem Michael Tschannen CoGe OOD DRL 184 313 0 07 Feb 2020
Soft-DTW: a Differentiable Loss Function for Time-Series Marco Cuturi Mathieu Blondel AI4TS 141 611 0 05 Mar 2017