Learning Causal Structure Distributions for Robust Planning | Paper Citation Record

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This paper cites Causality.

Learning Causal Structure Distributions for Robust Planning Causality

Reference 1

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This paper cites Toward causal representation learning.

Learning Causal Structure Distributions for Robust Planning Toward causal representation learning

Reference 2

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Observation f0a979a9-434b-4399-8244-0f4c2c8c8dd4 · outbound

This paper cites The cross-entropy method for optimization.

Learning Causal Structure Distributions for Robust Planning The cross-entropy method for optimization

Reference 3

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Observation 069b71c9-5d8f-4202-8309-a786a8d6d5b8 · outbound

This paper cites Robust model predictive path integral control: Analysis and performance guarantees.

Learning Causal Structure Distributions for Robust Planning Robust model predictive path integral control: Analysis and performance guarantees

Reference 4

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This paper cites Counting unlabeled acyclic digraphs.

Learning Causal Structure Distributions for Robust Planning Counting unlabeled acyclic digraphs

Reference 5

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Observation b1ff0ecd-fa25-44d8-a195-7ea8cdcafffc · outbound

This paper cites Car-despot: Causally-informed online pomdp planning for robots in confounded environments.

Learning Causal Structure Distributions for Robust Planning Car-despot: Causally-informed online pomdp planning for robots in confounded environments

Reference 6

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Observation 07b831a6-ef93-4922-a2ad-ef6856fdd396 · outbound

This paper cites Causalaf: Causal autoregressive flow for safety-critical driving scenario generation.

Learning Causal Structure Distributions for Robust Planning Causalaf: Causal autoregressive flow for safety-critical driving scenario generation

Reference 7

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Observation 92f88b83-53c8-4c0a-b220-72155a2cc305 · outbound

This paper cites Causal Dynamics Learning for Task-Independent State Abstraction.

Learning Causal Structure Distributions for Robust Planning Causal Dynamics Learning for Task-Independent State Abstraction

Reference 8

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This paper cites Axiomatic attribution for deep networks.

Learning Causal Structure Distributions for Robust Planning Axiomatic attribution for deep networks

Reference 9

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Observation cf2c6f30-43a0-4f75-a9c1-fb727e450be0 · outbound

This paper cites Causal diagrams for empirical research.

Learning Causal Structure Distributions for Robust Planning Causal diagrams for empirical research

Reference 10

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This paper cites Adarl: What, where, and how to adapt in transfer reinforcement learning.

Learning Causal Structure Distributions for Robust Planning Adarl: What, where, and how to adapt in transfer reinforcement learning

Reference 11

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Observation bee31a21-abdb-43b3-8071-0595301ebfa4 · outbound

This paper cites Learning dynamic attribute-factored world models for efficient multi-object reinforcement learning.

Learning Causal Structure Distributions for Robust Planning Learning dynamic attribute-factored world models for efficient multi-object reinforcement learning

Reference 12

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Observation 1c7818b7-0569-439c-b5f7-6fc93108f7cd · outbound

This paper cites Causal structure discovery from distributions arising from mixture dag.

Learning Causal Structure Distributions for Robust Planning Causal structure discovery from distributions arising from mixture dag

Reference 13

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Observation 391791e9-041e-4f56-8d33-6decc2feda63 · outbound

This paper cites An algorithm for fast recovery of sparse causal graphs.

Learning Causal Structure Distributions for Robust Planning An algorithm for fast recovery of sparse causal graphs

Reference 14

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Observation d04fac4a-1a5c-4c09-8e16-10647351a246 · outbound

This paper cites Amortized Inference for Causal Structure Learning.

Learning Causal Structure Distributions for Robust Planning Amortized Inference for Causal Structure Learning

Reference 15

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This paper cites Dagma: Learning dags via m-matrices and a log-determinant acyclicity characterization.

Learning Causal Structure Distributions for Robust Planning Dagma: Learning dags via m-matrices and a log-determinant acyclicity characterization

Reference 16

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Observation 8e499072-42c4-411c-aa8f-57de1e7a507e · outbound

This paper cites Nonlinear learning method for local causal structures.

Learning Causal Structure Distributions for Robust Planning Nonlinear learning method for local causal structures

Reference 17

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Observation a975e478-ea51-48b4-b176-a241ee682c0e · outbound

This paper cites Learning causal semantic representation for out-of-distribution prediction.

Learning Causal Structure Distributions for Robust Planning Learning causal semantic representation for out-of-distribution prediction

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:41:22.606354Z

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Observation 544f6ce4-26e2-4a31-ad32-3d9b8ec2e60d · outbound

This paper cites Invariant causal representation learning for out-of- distribution generalization.

Learning Causal Structure Distributions for Robust Planning Invariant causal representation learning for out-of- distribution generalization

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:41:22.593202Z

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Observation 7aed0b7c-e086-4a37-b1a4-6d94ca41ffdf · outbound

This paper cites Causpref: Causal preference learning for out-of-distribution recommendation.

Learning Causal Structure Distributions for Robust Planning Causpref: Causal preference learning for out-of-distribution recommendation

Reference 20

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Observation 7841679c-dc68-4c0b-aa30-abcc53f29df5 · outbound

This paper cites Counterfactual data augmentation using locally factored dynamics.

Learning Causal Structure Distributions for Robust Planning Counterfactual data augmentation using locally factored dynamics

Reference 21

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Observation 62204761-fa23-4ae5-8bbc-8f350835cb6c · outbound

This paper cites Seeing is not believing: Robust reinforcement learning against spurious correlation.

Learning Causal Structure Distributions for Robust Planning Seeing is not believing: Robust reinforcement learning against spurious correlation

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:41:22.540494Z

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Observation 4ace1e7e-e6b5-4d04-b5ce-94c10afe6daa · outbound

This paper cites Mocoda: Model-based counterfactual data augmentation.

Learning Causal Structure Distributions for Robust Planning Mocoda: Model-based counterfactual data augmentation

Reference 23

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Observation d35f1832-127e-493e-bd26-ac9b54681e31 · outbound

This paper cites Online dynamics learning for predictive control with an application to aerial robots.

Learning Causal Structure Distributions for Robust Planning Online dynamics learning for predictive control with an application to aerial robots

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:41:22.514514Z

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Observation 7d50ec26-c1a6-4bd1-b0e0-dbeb80891aef · outbound

This paper cites Dynamic learning from adaptive neural control of robot manipulators with prescribed performance.

Learning Causal Structure Distributions for Robust Planning Dynamic learning from adaptive neural control of robot manipulators with prescribed performance

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:41:22.579468Z

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Observation 62e7d04b-6fe1-494b-aabc-7237701d7cc9 · outbound

This paper cites Dynamics learning with object-centric interaction networks for robot manipulation.

Learning Causal Structure Distributions for Robust Planning Dynamics learning with object-centric interaction networks for robot manipulation

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:41:22.501392Z

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Observation b29afa8f-b986-4602-a82f-ffdb6314f9d8 · outbound

This paper cites Real-time inverse dynamics learning for mus- culoskeletal robots based on echo state gaussian process regression.

Learning Causal Structure Distributions for Robust Planning Real-time inverse dynamics learning for mus- culoskeletal robots based on echo state gaussian process regression

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:41:22.487403Z

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Observation a99a8ecb-a42f-4bf1-a3a8-46cb5a824f99 · outbound

This paper cites Cascaded gaus- sian processes for data-efficient robot dynamics learning.

Learning Causal Structure Distributions for Robust Planning Cascaded gaus- sian processes for data-efficient robot dynamics learning

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:41:22.474135Z

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Observation 58c1f61c-8930-44a0-84ff-bc1feadac041 · outbound

This paper cites Introduction to dynamic systems: theory, models, and applications, volume 1.

Learning Causal Structure Distributions for Robust Planning Introduction to dynamic systems: theory, models, and applications, volume 1

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:41:22.460134Z

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Observation 3b9039af-6692-473b-bb17-bc249b6ffdf7 · outbound

This paper cites Parameter identification of robot dynamics.

Learning Causal Structure Distributions for Robust Planning Parameter identification of robot dynamics

Reference 30

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This paper cites Differential equations, dynamical systems, and linear algebra.

Learning Causal Structure Distributions for Robust Planning Differential equations, dynamical systems, and linear algebra

Reference 31

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Observation a11ee9eb-1e02-407e-bb84-b9d8dcfc3f42 · outbound

This paper cites Bayesian structure learning with generative flow networks.

Learning Causal Structure Distributions for Robust Planning Bayesian structure learning with generative flow networks

Reference 32

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Observation f04bc921-9d5d-4cea-b8e3-04535cc589a3 · outbound

This paper cites Bayesian learning of Causal Structure and Mechanisms with GFlowNets and Variational Bayes.

Learning Causal Structure Distributions for Robust Planning Bayesian learning of Causal Structure and Mechanisms with GFlowNets and Variational Bayes

Reference 33

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Observation 4fd86c06-6138-4005-83d5-f1767706970b · outbound

This paper cites Why did i fail? a causal- based method to find explanations for robot failures.

Learning Causal Structure Distributions for Robust Planning Why did i fail? a causal- based method to find explanations for robot failures

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:41:22.406960Z

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Observation 84fd8bb6-09d9-4d4b-b5cb-9b91d65dd6d8 · outbound

This paper cites Do feature attribution methods correctly attribute features? In Proceedings of the AAAI Conference on Artificial Intelligence , 2022.

Learning Causal Structure Distributions for Robust Planning Do feature attribution methods correctly attribute features? In Proceedings of the AAAI Conference on Artificial Intelligence , 2022

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:41:22.393915Z

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This paper cites The effectiveness of feature attribution methods and its correlation with automatic evaluation scores.

Learning Causal Structure Distributions for Robust Planning The effectiveness of feature attribution methods and its correlation with automatic evaluation scores

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:41:22.380426Z

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Observation 7a89dd66-5654-4d26-98f7-cc3f36a2b145 · outbound

This paper cites Causal Inference for De-biasing Motion Estimation from Robotic Observational Data.

Learning Causal Structure Distributions for Robust Planning Causal Inference for De-biasing Motion Estimation from Robotic Observational Data

Reference 37

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This paper cites Review of causal discovery methods based on graphical models.

Learning Causal Structure Distributions for Robust Planning Review of causal discovery methods based on graphical models

Reference 38

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This paper cites Causal imitation learning with unobserved confounders.

Learning Causal Structure Distributions for Robust Planning Causal imitation learning with unobserved confounders

Reference 39

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This paper cites an unresolved cited work.

Learning Causal Structure Distributions for Robust Planning Unresolved cited work

Reference 40

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This paper cites Deep reinforcement learning in a handful of trials using probabilistic dynamics models.

Learning Causal Structure Distributions for Robust Planning Deep reinforcement learning in a handful of trials using probabilistic dynamics models

Reference 41

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This paper cites An approximate epistemic uncertainty analysis approach in the presence of epistemic and aleatory uncertainties.

Learning Causal Structure Distributions for Robust Planning An approximate epistemic uncertainty analysis approach in the presence of epistemic and aleatory uncertainties

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:41:22.315691Z

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Observation 256a7fe0-297f-4450-baa7-185c67794cba · outbound

This paper cites Task independent causal state abstraction.

Learning Causal Structure Distributions for Robust Planning Task independent causal state abstraction

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:41:22.302278Z

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Observation 77135586-b7c4-4213-9175-c8707bc451a9 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Learning Causal Structure Distributions for Robust Planning Proximal Policy Optimization Algorithms

Reference 44

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Observation ea03b11a-5ff4-4261-b0fc-d9772661ba9c · outbound

This paper cites Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor.

Learning Causal Structure Distributions for Robust Planning Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:41:22.286401Z

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Observation 3fb9bbeb-0c66-4e44-ba22-c6b97ca531d7 · outbound

This paper cites Addressing function approximation error in actor-critic methods.

Learning Causal Structure Distributions for Robust Planning Addressing function approximation error in actor-critic methods

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:41:22.271315Z

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Observation fcda38e4-081b-4f21-90cb-82e58b484563 · outbound

This paper cites Stable-baselines3: Reliable reinforcement learning implementations.

Learning Causal Structure Distributions for Robust Planning Stable-baselines3: Reliable reinforcement learning implementations

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:41:22.256230Z

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Observation e7b5862d-d08c-43ab-937d-ff4394c44e05 · outbound

This paper cites Lambert, and Roberto Calandra.

Learning Causal Structure Distributions for Robust Planning Lambert, and Roberto Calandra

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:41:22.241825Z

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This paper cites Clearpath additional simulation worlds.

Learning Causal Structure Distributions for Robust Planning Clearpath additional simulation worlds

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:41:22.227978Z

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This paper cites Neural compression.

Learning Causal Structure Distributions for Robust Planning Neural compression

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:41:22.214242Z

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