Graph-attention-based Casual Discovery with Trust Region-navigated Clipping Policy Optimization | Paper Citation Record

Observation 3a3a2549-fe46-41d2-a711-f113477c7620 · outbound

This paper cites ’virus and epidemic’: Causal knowledge activates prediction error circuitry,.

Graph-attention-based Casual Discovery with Trust Region-navigated Clipping Policy Optimization ’virus and epidemic’: Causal knowledge activates prediction error circuitry,

Reference 1

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Observation ff955741-3309-44b1-b9e1-f731c2592a0e · outbound

This paper cites Causality for Machine Learning.

Graph-attention-based Casual Discovery with Trust Region-navigated Clipping Policy Optimization Causality for Machine Learning

Reference 2

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Observation c8541e12-0dbc-4d63-866b-0ed72ad9b053 · outbound

This paper cites From correlation to causation networks: a simple approximate learning algorithm and its application to high-dimensional plant gene expression data,.

Graph-attention-based Casual Discovery with Trust Region-navigated Clipping Policy Optimization From correlation to causation networks: a simple approximate learning algorithm and its application to high-dimensional plant gene expression data,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:16:24.709101Z

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This paper cites Learning bayesian networks is np-complete,.

Graph-attention-based Casual Discovery with Trust Region-navigated Clipping Policy Optimization Learning bayesian networks is np-complete,

Reference 5

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This paper cites Causal discovery with reinforcement learning,.

Graph-attention-based Casual Discovery with Trust Region-navigated Clipping Policy Optimization Causal discovery with reinforcement learning,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:16:24.665410Z

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This paper cites Estimating the Dimension of a Model,.

Graph-attention-based Casual Discovery with Trust Region-navigated Clipping Policy Optimization Estimating the Dimension of a Model,

Reference 7

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This paper cites Simple statistical gradient-following algorithms for connectionist reinforcement learning,.

Graph-attention-based Casual Discovery with Trust Region-navigated Clipping Policy Optimization Simple statistical gradient-following algorithms for connectionist reinforcement learning,

Reference 8

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This paper cites Policy gradient methods for reinforcement learning with function approxima- tion,.

Graph-attention-based Casual Discovery with Trust Region-navigated Clipping Policy Optimization Policy gradient methods for reinforcement learning with function approxima- tion,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:16:24.623325Z

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Observation 45ad2c72-b893-4585-8bdc-0b7879068ebd · outbound

This paper cites Trust region policy optimization,.

Graph-attention-based Casual Discovery with Trust Region-navigated Clipping Policy Optimization Trust region policy optimization,

Reference 10

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Observation 8c17b5e1-f94a-4102-b573-00f3be016a21 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Graph-attention-based Casual Discovery with Trust Region-navigated Clipping Policy Optimization Proximal Policy Optimization Algorithms

Reference 11

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This paper cites Graph Attention Networks.

Graph-attention-based Casual Discovery with Trust Region-navigated Clipping Policy Optimization Graph Attention Networks

Reference 12

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This paper cites Approximating discrete probability distri- butions with dependence trees,.

Graph-attention-based Casual Discovery with Trust Region-navigated Clipping Policy Optimization Approximating discrete probability distri- butions with dependence trees,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:16:24.592433Z

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This paper cites The max-min hill- climbing bayesian network structure learning algorithm,.

Graph-attention-based Casual Discovery with Trust Region-navigated Clipping Policy Optimization The max-min hill- climbing bayesian network structure learning algorithm,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:16:24.577328Z

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This paper cites Dags with NO TEARS: continuous optimization for structure learning,.

Graph-attention-based Casual Discovery with Trust Region-navigated Clipping Policy Optimization Dags with NO TEARS: continuous optimization for structure learning,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:16:24.561268Z

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This paper cites Generalized score functions for causal discovery,.

Graph-attention-based Casual Discovery with Trust Region-navigated Clipping Policy Optimization Generalized score functions for causal discovery,

Reference 16

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This paper cites Causal discovery with continuous additive noise models,.

Graph-attention-based Casual Discovery with Trust Region-navigated Clipping Policy Optimization Causal discovery with continuous additive noise models,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:16:24.531048Z

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This paper cites A machine learning approach to classify pedestrians’ event based on imu and gps,.

Graph-attention-based Casual Discovery with Trust Region-navigated Clipping Policy Optimization A machine learning approach to classify pedestrians’ event based on imu and gps,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:16:24.515118Z

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Observation 59d5b341-eccd-428b-b1a4-bedb5059e479 · outbound

This paper cites Deep learning versus traditional solutions for group trajectory outliers,.

Graph-attention-based Casual Discovery with Trust Region-navigated Clipping Policy Optimization Deep learning versus traditional solutions for group trajectory outliers,

Reference 19

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This paper cites Iterative feedback and learning control. servo systems applications,.

Graph-attention-based Casual Discovery with Trust Region-navigated Clipping Policy Optimization Iterative feedback and learning control. servo systems applications,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:16:24.485467Z

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Observation e9db1719-3ca3-495b-a130-1d0e5326fa47 · outbound

This paper cites Adaptive ekf-based vehicle state estimation with online assessment of local observability,.

Graph-attention-based Casual Discovery with Trust Region-navigated Clipping Policy Optimization Adaptive ekf-based vehicle state estimation with online assessment of local observability,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:16:24.470724Z

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Observation e89725c7-e918-4c75-a222-980e875ec994 · outbound

This paper cites Learning functional causal models with generative neural networks,.

Graph-attention-based Casual Discovery with Trust Region-navigated Clipping Policy Optimization Learning functional causal models with generative neural networks,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:16:24.454424Z

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Observation 1c418afc-5b1b-461c-9e96-ac40a2a536df · outbound

This paper cites Structural Agnostic Modeling: Adversarial Learning of Causal Graphs,.

Graph-attention-based Casual Discovery with Trust Region-navigated Clipping Policy Optimization Structural Agnostic Modeling: Adversarial Learning of Causal Graphs,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:16:24.438071Z

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Observation e9b72fbe-e06e-449c-8128-b9d876458032 · outbound

This paper cites DAG-GNN: DAG structure learning with graph neural networks,.

Graph-attention-based Casual Discovery with Trust Region-navigated Clipping Policy Optimization DAG-GNN: DAG structure learning with graph neural networks,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:16:24.422505Z

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This paper cites A new model for learning in graph domains,.

Graph-attention-based Casual Discovery with Trust Region-navigated Clipping Policy Optimization A new model for learning in graph domains,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:16:24.406715Z

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Observation 609e598e-6526-44aa-aff5-e6f6b2b2edb2 · outbound

This paper cites The graph neural network model,.

Graph-attention-based Casual Discovery with Trust Region-navigated Clipping Policy Optimization The graph neural network model,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:16:24.391107Z

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This paper cites ChebNet: Efficient and Stable Constructions of Deep Neural Networks with Rectified Power Units via Chebyshev Approximations.

Graph-attention-based Casual Discovery with Trust Region-navigated Clipping Policy Optimization ChebNet: Efficient and Stable Constructions of Deep Neural Networks with Rectified Power Units via Chebyshev Approximations

Reference 27

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Observation ea85c78e-b1f0-48e1-a9fc-850a0fb285df · outbound

This paper cites Inductive Representation Learning on Large Graphs.

Graph-attention-based Casual Discovery with Trust Region-navigated Clipping Policy Optimization Inductive Representation Learning on Large Graphs

Reference 28

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Observation f56e34bf-35e4-4d1b-abc5-b1e6c98e4e45 · outbound

This paper cites Deep reinforcement learning for multiagent systems: A review of challenges, solutions, and applications,.

Graph-attention-based Casual Discovery with Trust Region-navigated Clipping Policy Optimization Deep reinforcement learning for multiagent systems: A review of challenges, solutions, and applications,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-11T00:16:23.880027Z

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Observation 8b7a1b97-585c-4403-a955-c9ca5c932d3d · outbound

This paper cites Survey of model-based reinforce- ment learning: Applications on robotics,.

Graph-attention-based Casual Discovery with Trust Region-navigated Clipping Policy Optimization Survey of model-based reinforce- ment learning: Applications on robotics,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:16:24.364116Z

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This paper cites Online rein- forcement learning control for the personalization of a robotic knee prosthesis,.

Graph-attention-based Casual Discovery with Trust Region-navigated Clipping Policy Optimization Online rein- forcement learning control for the personalization of a robotic knee prosthesis,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:16:24.348606Z

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This paper cites Multitask learning for object localization with deep reinforcement learning,.

Graph-attention-based Casual Discovery with Trust Region-navigated Clipping Policy Optimization Multitask learning for object localization with deep reinforcement learning,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:16:24.333879Z

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This paper cites Nonzero-sum game rein- forcement learning for performance optimization in large-scale industrial processes,.

Graph-attention-based Casual Discovery with Trust Region-navigated Clipping Policy Optimization Nonzero-sum game rein- forcement learning for performance optimization in large-scale industrial processes,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:16:24.319281Z

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This paper cites Neural Architecture Search with Reinforcement Learning,.

Graph-attention-based Casual Discovery with Trust Region-navigated Clipping Policy Optimization Neural Architecture Search with Reinforcement Learning,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:16:24.305262Z

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This paper cites an unresolved cited work.

Graph-attention-based Casual Discovery with Trust Region-navigated Clipping Policy Optimization Unresolved cited work

Reference 35

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Observation a76beb80-dfa6-4983-8d2f-702bdaa43b3d · outbound

This paper cites Spirtes, C.

Graph-attention-based Casual Discovery with Trust Region-navigated Clipping Policy Optimization Spirtes, C

Reference 36

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Observation 13e7c7cf-7f9d-41bd-b1b5-e513c31f0021 · outbound

This paper cites A linear non-gaussian acyclic model for causal discovery,.

Graph-attention-based Casual Discovery with Trust Region-navigated Clipping Policy Optimization A linear non-gaussian acyclic model for causal discovery,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:16:24.276812Z

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Observation 5d600eda-9ff7-4f28-b96d-24d767b2cd0e · outbound

This paper cites On the Prop- erties of Neural Machine Translation: Encoder-Decoder Approaches,.

Graph-attention-based Casual Discovery with Trust Region-navigated Clipping Policy Optimization On the Prop- erties of Neural Machine Translation: Encoder-Decoder Approaches,

Reference 38

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This paper cites Abstractive Text Summarization Using Sequence-to-Sequence RNNs and Beyond,.

Graph-attention-based Casual Discovery with Trust Region-navigated Clipping Policy Optimization Abstractive Text Summarization Using Sequence-to-Sequence RNNs and Beyond,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:16:24.248028Z

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Observation de8ac5a4-6dd7-4a42-b845-f7f3a4f9eb4f · outbound

This paper cites Function optimization using connectionist reinforcement learning algorithms,.

Graph-attention-based Casual Discovery with Trust Region-navigated Clipping Policy Optimization Function optimization using connectionist reinforcement learning algorithms,

Reference 40

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Observation d7a64fa6-b5cb-4c63-8a72-3d9c215496fd · outbound

This paper cites Prioritized Experience Replay,.

Graph-attention-based Casual Discovery with Trust Region-navigated Clipping Policy Optimization Prioritized Experience Replay,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:16:24.217630Z

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Observation 02c310d8-ef51-42ea-8c21-7bb9d3055930 · outbound

This paper cites A Closer Look at Deep Policy Gradients.

Graph-attention-based Casual Discovery with Trust Region-navigated Clipping Policy Optimization A Closer Look at Deep Policy Gradients

Reference 42

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Observation b2eb6b1b-3ba7-47a6-9d6d-2b4ae0450792 · outbound

This paper cites Ramsey, M.

Graph-attention-based Casual Discovery with Trust Region-navigated Clipping Policy Optimization Ramsey, M

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:16:24.200418Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5ebf8539-b350-4a29-965e-01deff009540 · outbound

This paper cites CAM: Causal additive models, high-dimensional order search and penalized regression.

Graph-attention-based Casual Discovery with Trust Region-navigated Clipping Policy Optimization CAM: Causal additive models, high-dimensional order search and penalized regression

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-11T00:16:23.949439Z

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Observation 97fad022-e43c-4b5c-8b24-1cbe66d64b81 · outbound

This paper cites Gradient-Based Neural DAG Learning.

Graph-attention-based Casual Discovery with Trust Region-navigated Clipping Policy Optimization Gradient-Based Neural DAG Learning

Reference 45

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Observation 8b2f416f-b4b3-42a9-861f-8425f32f40f5 · outbound

This paper cites Causal Protein-Signaling Networks Derived from Multiparam- eter Single-Cell Data,.

Graph-attention-based Casual Discovery with Trust Region-navigated Clipping Policy Optimization Causal Protein-Signaling Networks Derived from Multiparam- eter Single-Cell Data,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:16:24.184311Z

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Observation 0f88161c-039b-4e44-aea1-4696ba564556 · outbound

This paper cites Syntren: a generator of synthetic gene expression data for design and analysis of structure learning algorithms,.

Graph-attention-based Casual Discovery with Trust Region-navigated Clipping Policy Optimization Syntren: a generator of synthetic gene expression data for design and analysis of structure learning algorithms,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:16:24.168558Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 24123bbd-aeaa-45af-9ae8-15a5b36f1df0 · outbound

This paper cites Truly proximal policy optimization,.

Graph-attention-based Casual Discovery with Trust Region-navigated Clipping Policy Optimization Truly proximal policy optimization,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:16:24.153034Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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This paper cites A hybrid method for nonlinear equations,.

Graph-attention-based Casual Discovery with Trust Region-navigated Clipping Policy Optimization A hybrid method for nonlinear equations,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:16:24.136319Z

Source-reported events for the cited work

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