MatRL: Provably Generalizable Iterative Algorithm Discovery via Monte-Carlo Tree Search | Paper Citation Record

Observation 1c2e8aea-06d0-471f-8759-b0b0f7c45ab3 · outbound

This paper cites Dion: A communication-efficient optimizer for large models.

MatRL: Provably Generalizable Iterative Algorithm Discovery via Monte-Carlo Tree Search Dion: A communication-efficient optimizer for large models

Reference 1

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Observation 0f505b2e-ee50-4e98-a2d6-33fed1814219 · outbound

This paper cites independent components.

MatRL: Provably Generalizable Iterative Algorithm Discovery via Monte-Carlo Tree Search independent components

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:11:26.386906Z

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This paper cites A survey of monte carlo tree search methods.IEEE Transactions on Computational Intelligence and AI in games, 4(1):1–43, 2012.

MatRL: Provably Generalizable Iterative Algorithm Discovery via Monte-Carlo Tree Search A survey of monte carlo tree search methods.IEEE Transactions on Computational Intelligence and AI in games, 4(1):1–43, 2012

Reference 3

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Observation cc441e43-5737-481b-8ab1-c8955e03f07a · outbound

This paper cites Solving the algebraic riccati equation with the matrix sign function.Linear Algebra and its Applications, 85:267–279, 1987.

MatRL: Provably Generalizable Iterative Algorithm Discovery via Monte-Carlo Tree Search Solving the algebraic riccati equation with the matrix sign function.Linear Algebra and its Applications, 85:267–279, 1987

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:11:26.370384Z

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Observation be860898-26a9-4813-9266-d12d3677dd4b · outbound

This paper cites A new scaling for newton’s iteration for the polar decomposition and its backward stability.SIAM Journal on Matrix Analysis and Applications, 30(2):822–843, 2008.

MatRL: Provably Generalizable Iterative Algorithm Discovery via Monte-Carlo Tree Search A new scaling for newton’s iteration for the polar decomposition and its backward stability.SIAM Journal on Matrix Analysis and Applications, 30(2):822–843, 2008

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:11:26.360131Z

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Observation b8391065-b802-4bf1-9471-00edf2325c6a · outbound

This paper cites Monte-carlo tree search in production management problems.

MatRL: Provably Generalizable Iterative Algorithm Discovery via Monte-Carlo Tree Search Monte-carlo tree search in production management problems

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:11:26.349919Z

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Observation a358c2cc-3352-4f5c-b388-e90c54c08641 · outbound

This paper cites Progressive strategies for monte-carlo tree search.New Mathematics and Natural Computation, 4(03):343–357, 2008.

MatRL: Provably Generalizable Iterative Algorithm Discovery via Monte-Carlo Tree Search Progressive strategies for monte-carlo tree search.New Mathematics and Natural Computation, 4(03):343–357, 2008

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:11:26.340449Z

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Observation 075f72ba-4975-43bb-8905-9fcf9cdd79d0 · outbound

This paper cites an unresolved cited work.

MatRL: Provably Generalizable Iterative Algorithm Discovery via Monte-Carlo Tree Search Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-06T20:11:26.330872Z

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Observation f64f4076-aa80-4a4c-8f6c-0db32fe90443 · outbound

This paper cites Continuous upper confidence trees.

MatRL: Provably Generalizable Iterative Algorithm Discovery via Monte-Carlo Tree Search Continuous upper confidence trees

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:11:26.320411Z

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Observation d62080ac-e55a-43b8-8951-3f5339f033af · outbound

This paper cites Convolutional neural networks on graphs with fast localized spectral filtering.Advances in neural information processing systems, 29, 2016.

MatRL: Provably Generalizable Iterative Algorithm Discovery via Monte-Carlo Tree Search Convolutional neural networks on graphs with fast localized spectral filtering.Advances in neural information processing systems, 29, 2016

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T20:11:18.796837Z

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Observation 63e617c0-1b90-44bb-bcfc-1df5f6d49dd7 · outbound

This paper cites The matrix sign function and computations in systems.Applied mathematics and Computation, 2(1):63–94, 1976.

MatRL: Provably Generalizable Iterative Algorithm Discovery via Monte-Carlo Tree Search The matrix sign function and computations in systems.Applied mathematics and Computation, 2(1):63–94, 1976

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:11:26.301338Z

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Observation 1e519235-6676-4e00-a9c1-788407edce33 · outbound

This paper cites An introduction to mathematical optimal control theory version 0.2.Lecture notes available at http://math.

MatRL: Provably Generalizable Iterative Algorithm Discovery via Monte-Carlo Tree Search An introduction to mathematical optimal control theory version 0.2.Lecture notes available at http://math

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:11:26.289473Z

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Observation ef12841c-b196-42ed-92ae-ee2fd002bd59 · outbound

This paper cites Discovering faster matrix multiplication algorithms with reinforcement learning.Nature, 610(7930):47–53, 2022.

MatRL: Provably Generalizable Iterative Algorithm Discovery via Monte-Carlo Tree Search Discovering faster matrix multiplication algorithms with reinforcement learning.Nature, 610(7930):47–53, 2022

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:11:26.278960Z

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Observation fd390be0-85d1-4f78-bf2b-564c282d88c9 · outbound

This paper cites Zolotarev iterations for the matrix square root.SIAM journal on matrix analysis and applications, 40(2):696–719, 2019.

MatRL: Provably Generalizable Iterative Algorithm Discovery via Monte-Carlo Tree Search Zolotarev iterations for the matrix square root.SIAM journal on matrix analysis and applications, 40(2):696–719, 2019

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:11:26.266407Z

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Observation ea04f6e7-e169-4a61-b069-73570a28cb00 · outbound

This paper cites On newton’s method and halley’s method for the principal pth root of a matrix.

MatRL: Provably Generalizable Iterative Algorithm Discovery via Monte-Carlo Tree Search On newton’s method and halley’s method for the principal pth root of a matrix

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:11:26.256695Z

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Observation 1d100ca7-c826-4f2c-8e2f-5cf48e12ea48 · outbound

This paper cites Shampoo: Preconditioned stochastic tensor optimization.

MatRL: Provably Generalizable Iterative Algorithm Discovery via Monte-Carlo Tree Search Shampoo: Preconditioned stochastic tensor optimization

Reference 16

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Observation 739d1d22-89f1-4c08-bcd1-8eff82a45ed9 · outbound

This paper cites Stable iterations for the matrix square root.Numerical Algorithms, 15:227–242, 1997.

MatRL: Provably Generalizable Iterative Algorithm Discovery via Monte-Carlo Tree Search Stable iterations for the matrix square root.Numerical Algorithms, 15:227–242, 1997

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:11:26.238600Z

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Observation 10c921f8-843b-42c0-9c87-b51814ba1f55 · outbound

This paper cites SIAM, 2008.

MatRL: Provably Generalizable Iterative Algorithm Discovery via Monte-Carlo Tree Search SIAM, 2008

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:11:26.228367Z

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Observation 234024a7-92d2-4aee-8e0b-f4c9369abb5d · outbound

This paper cites Fast polar decomposition of an arbitrary matrix.

MatRL: Provably Generalizable Iterative Algorithm Discovery via Monte-Carlo Tree Search Fast polar decomposition of an arbitrary matrix

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:11:26.218531Z

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Observation 16e0b4e2-0610-4ae1-b702-28be4545f476 · outbound

This paper cites Intelligent agents for the game of go.IEEE Computational Intelligence Magazine, 5(4):28–42, 2010.

MatRL: Provably Generalizable Iterative Algorithm Discovery via Monte-Carlo Tree Search Intelligent agents for the game of go.IEEE Computational Intelligence Magazine, 5(4):28–42, 2010

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:11:26.208936Z

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Observation a9624877-d0df-4213-877d-aaf6901072e6 · outbound

This paper cites A faster, more stable method for computing the pth roots of positive definite matrices.Linear Algebra and Its Applications, 26:139–163, 1979.

MatRL: Provably Generalizable Iterative Algorithm Discovery via Monte-Carlo Tree Search A faster, more stable method for computing the pth roots of positive definite matrices.Linear Algebra and Its Applications, 26:139–163, 1979

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:11:26.200608Z

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Observation e9c1c795-778a-4f90-b4c4-999b832cb409 · outbound

This paper cites A note on computing the matrix square root.Calcolo, 40(4):273–283, 2003.

MatRL: Provably Generalizable Iterative Algorithm Discovery via Monte-Carlo Tree Search A note on computing the matrix square root.Calcolo, 40(4):273–283, 2003

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:11:26.191130Z

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Observation 889f5c68-f8d2-4166-ae0d-3d931a01c75c · outbound

This paper cites On the newton method for the matrix p th root.SIAM journal on matrix analysis and applications, 28(2):503–523, 2006.

MatRL: Provably Generalizable Iterative Algorithm Discovery via Monte-Carlo Tree Search On the newton method for the matrix p th root.SIAM journal on matrix analysis and applications, 28(2):503–523, 2006

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:11:26.182152Z

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Observation 97ea60b0-a643-434f-a86d-ec3d43490b42 · outbound

This paper cites Muon: An optimizer for hidden layers in neural networks, 2024.

MatRL: Provably Generalizable Iterative Algorithm Discovery via Monte-Carlo Tree Search Muon: An optimizer for hidden layers in neural networks, 2024

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T20:11:20.090925Z

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Observation dd8d9487-4f4c-441f-97cb-531c21cb1742 · outbound

This paper cites Deep generative symbolic regression with monte-carlo-tree-search.

MatRL: Provably Generalizable Iterative Algorithm Discovery via Monte-Carlo Tree Search Deep generative symbolic regression with monte-carlo-tree-search

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:11:26.168334Z

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Observation 8382d941-9fe3-4d89-8a9a-0242edff145d · outbound

This paper cites Learning to relax: Setting solver parameters across a sequence of linear system instances.

MatRL: Provably Generalizable Iterative Algorithm Discovery via Monte-Carlo Tree Search Learning to relax: Setting solver parameters across a sequence of linear system instances

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:11:26.158894Z

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Observation 4c196d68-b869-4da2-aa38-f85b5630febc · outbound

This paper cites Bandit based monte-carlo planning.

MatRL: Provably Generalizable Iterative Algorithm Discovery via Monte-Carlo Tree Search Bandit based monte-carlo planning

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T20:11:20.393163Z

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Observation df824ee2-b82c-4e63-b526-cf024e18ad4e · outbound

This paper cites Learning multiple layers of features from tiny images.

MatRL: Provably Generalizable Iterative Algorithm Discovery via Monte-Carlo Tree Search Learning multiple layers of features from tiny images

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T20:11:20.472509Z

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Observation 947e7c66-0ba5-45e1-8aa6-17dcf8afc696 · outbound

This paper cites Chebyshev- type methods and preconditioning techniques.Applied Mathematics and Computation, 218(2):260–270, 2011.

MatRL: Provably Generalizable Iterative Algorithm Discovery via Monte-Carlo Tree Search Chebyshev- type methods and preconditioning techniques.Applied Mathematics and Computation, 218(2):260–270, 2011

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:11:26.136763Z

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Observation 557f8ec7-1fcf-4ff1-9eed-50071332bd96 · outbound

This paper cites Learning to Optimize Neural Nets.

MatRL: Provably Generalizable Iterative Algorithm Discovery via Monte-Carlo Tree Search Learning to Optimize Neural Nets

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T20:11:20.638117Z

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Observation 724ed62f-5157-43db-be6e-8bf26f9d3456 · outbound

This paper cites An effec- tive mcts-based algorithm for minimizing makespan in dynamic flexible job shop scheduling problem.Computers & Industrial Engineering, 155:107211, 2021.

MatRL: Provably Generalizable Iterative Algorithm Discovery via Monte-Carlo Tree Search An effec- tive mcts-based algorithm for minimizing makespan in dynamic flexible job shop scheduling problem.Computers & Industrial Engineering, 155:107211, 2021

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:11:26.128140Z

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Observation 8377fdb4-9962-47f5-9487-7aa6dd50d0c4 · outbound

This paper cites Towards faster training of global covariance pooling networks by iterative matrix square root normalization.

MatRL: Provably Generalizable Iterative Algorithm Discovery via Monte-Carlo Tree Search Towards faster training of global covariance pooling networks by iterative matrix square root normalization

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:11:26.119906Z

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Observation 8a2fdd30-9c54-4cff-83a2-6bec20afcafd · outbound

This paper cites Fast algorithm for extracting the diagonal of the inverse matrix with application to the electronic structure analysis of metallic systems.

MatRL: Provably Generalizable Iterative Algorithm Discovery via Monte-Carlo Tree Search Fast algorithm for extracting the diagonal of the inverse matrix with application to the electronic structure analysis of metallic systems

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:11:26.111444Z

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Observation e0fd5a81-dce5-483e-a0e7-02eaa7f64bbb · outbound

This paper cites Faster sorting algorithms discovered using deep reinforcement learning.Nature, 618(7964):257–263, 2023.

MatRL: Provably Generalizable Iterative Algorithm Discovery via Monte-Carlo Tree Search Faster sorting algorithms discovered using deep reinforcement learning.Nature, 618(7964):257–263, 2023

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:11:26.101680Z

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Observation 1f295623-5acd-4ea7-acf5-c45c8bbd135f · outbound

This paper cites A fractional graph laplacian approach to oversmoothing.Advances in Neural Information Processing Systems, 36:13022– 13063, 2023.

MatRL: Provably Generalizable Iterative Algorithm Discovery via Monte-Carlo Tree Search A fractional graph laplacian approach to oversmoothing.Advances in Neural Information Processing Systems, 36:13022– 13063, 2023

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:11:26.092926Z

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Observation ebb2646d-8a00-4d34-b430-eb8c37b99cfb · outbound

This paper cites Evaluation of simulation strategy on single-player monte-carlo tree search and its discussion for a practical scheduling problem.

MatRL: Provably Generalizable Iterative Algorithm Discovery via Monte-Carlo Tree Search Evaluation of simulation strategy on single-player monte-carlo tree search and its discussion for a practical scheduling problem

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:11:26.084211Z

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Observation fe6651d3-1aaa-42fa-ae14-8f6b2e3d725e · outbound

This paper cites Optimizing halley’s iteration for computing the matrix polar decomposition.SIAM Journal on Matrix Analysis and Applications, 31(5):2700– 2720, 2010.

MatRL: Provably Generalizable Iterative Algorithm Discovery via Monte-Carlo Tree Search Optimizing halley’s iteration for computing the matrix polar decomposition.SIAM Journal on Matrix Analysis and Applications, 31(5):2700– 2720, 2010

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:11:26.075946Z

Source-reported events for the cited work

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Observation 640dccdd-fd94-4e84-978e-243d7a04dbfc · outbound

This paper cites Computing fundamental matrix decompositions accurately via the matrix sign function in two iterations: The power of zolotarev’s functions.

MatRL: Provably Generalizable Iterative Algorithm Discovery via Monte-Carlo Tree Search Computing fundamental matrix decompositions accurately via the matrix sign function in two iterations: The power of zolotarev’s functions

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:11:26.066221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b45a8a91-634a-4321-9662-fdfb3ab8856c · outbound

This paper cites An improved newton iteration for the generalized inverse of a matrix, with applications.SIAM Journal on Scientific and Statistical Computing, 12(5):1109– 1130, 1991.

MatRL: Provably Generalizable Iterative Algorithm Discovery via Monte-Carlo Tree Search An improved newton iteration for the generalized inverse of a matrix, with applications.SIAM Journal on Scientific and Statistical Computing, 12(5):1109– 1130, 1991

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-06T20:11:21.703269Z

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Observation 5415683a-3877-4800-89d3-a255d8223cdb · outbound

This paper cites The edge of orthogonality: A simple view of what makes byol tick.

MatRL: Provably Generalizable Iterative Algorithm Discovery via Monte-Carlo Tree Search The edge of orthogonality: A simple view of what makes byol tick

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:11:25.930744Z

Source-reported events for the cited work

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Observation a2c6431d-d61b-41b0-9ddc-73a24155fa8e · outbound

This paper cites Optimization of the nested monte-carlo algorithm on the traveling salesman problem with time windows.

MatRL: Provably Generalizable Iterative Algorithm Discovery via Monte-Carlo Tree Search Optimization of the nested monte-carlo algorithm on the traveling salesman problem with time windows

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:11:25.684756Z

Source-reported events for the cited work

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Observation 54fb816f-b021-4274-9e58-fd7d9c8ddc00 · outbound

This paper cites Guiding combinatorial optimization with uct.

MatRL: Provably Generalizable Iterative Algorithm Discovery via Monte-Carlo Tree Search Guiding combinatorial optimization with uct

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:11:25.471731Z

Source-reported events for the cited work

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Observation f33bf291-75ab-4ed8-884a-b2caae098fea · outbound

This paper cites Iterative berechung der reziproken matrix.ZAMM-Journal of Applied Math- ematics and Mechanics/Zeitschrift für Angewandte Mathematik und Mechanik, 13(1):57–59, 1933.

MatRL: Provably Generalizable Iterative Algorithm Discovery via Monte-Carlo Tree Search Iterative berechung der reziproken matrix.ZAMM-Journal of Applied Math- ematics and Mechanics/Zeitschrift für Angewandte Mathematik und Mechanik, 13(1):57–59, 1933

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-06T20:11:22.366749Z

Source-reported events for the cited work

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Observation 832f07e6-62bd-4398-b082-156cbc318b9a · outbound

This paper cites Mastering the game of go without human knowledge.nature, 550(7676):354–359, 2017.

MatRL: Provably Generalizable Iterative Algorithm Discovery via Monte-Carlo Tree Search Mastering the game of go without human knowledge.nature, 550(7676):354–359, 2017

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-06T20:11:22.517041Z

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Unavailable: canonical work link unavailable.

Observation 0734f011-471b-493d-bee5-f5852a5f86ee · outbound

This paper cites Tactical planning using mcts in the game of starcraft.Master’s thesis, Maastricht University, 2014.

MatRL: Provably Generalizable Iterative Algorithm Discovery via Monte-Carlo Tree Search Tactical planning using mcts in the game of starcraft.Master’s thesis, Maastricht University, 2014

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:11:25.189840Z

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Observation c4815267-6c33-4b07-9564-56c725cb20c8 · outbound

This paper cites an unresolved cited work.

MatRL: Provably Generalizable Iterative Algorithm Discovery via Monte-Carlo Tree Search Unresolved cited work

Reference 46

Resolution: unresolved; raw_fallback, observed 2026-08-06T20:11:24.932466Z

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Observation 917df4e1-722d-4d2c-829b-e226260eb918 · outbound

This paper cites Fast Differentiable Matrix Square Root.

MatRL: Provably Generalizable Iterative Algorithm Discovery via Monte-Carlo Tree Search Fast Differentiable Matrix Square Root

Reference 47

Resolution: verified exact; local_arxiv, observed 2026-08-06T20:11:23.631095Z

Source-reported events for the cited work

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Observation ba05b774-6b3e-4a39-a3a9-89352016a3a8 · outbound

This paper cites A monte-carlo aixi approximation.Journal of Artificial Intelligence Research, 40:95–142, 2011.

MatRL: Provably Generalizable Iterative Algorithm Discovery via Monte-Carlo Tree Search A monte-carlo aixi approximation.Journal of Artificial Intelligence Research, 40:95–142, 2011

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:11:24.603480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5f42e04f-80c5-4afa-8c5d-aeac8af9840c · outbound

This paper cites Deep cnns meet global covariance pooling: Better representation and generalization.IEEE transactions on pattern analysis and machine intelligence, 43(8):2582–2597, 2020.

MatRL: Provably Generalizable Iterative Algorithm Discovery via Monte-Carlo Tree Search Deep cnns meet global covariance pooling: Better representation and generalization.IEEE transactions on pattern analysis and machine intelligence, 43(8):2582–2597, 2020

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:11:24.381074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 67654f21-2f66-4129-b38f-7521b8def571 · outbound

This paper cites On fractional powers of a matrix.Journal of the American Statistical Association, 62(319):1018–1021, 1967.

MatRL: Provably Generalizable Iterative Algorithm Discovery via Monte-Carlo Tree Search On fractional powers of a matrix.Journal of the American Statistical Association, 62(319):1018–1021, 1967

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:11:24.089971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation dd67f59b-fc11-4909-9eb4-0fd3da476b99 · outbound

This paper cites difference.

MatRL: Provably Generalizable Iterative Algorithm Discovery via Monte-Carlo Tree Search difference

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:11:23.962213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers