Paper Citation Record · LEDGER

Distributionally Robust Deep Q-Learning

As of 8 August 2026, this Paper Citation Record lists 66 of 66 outbound references and 2 inbound Pith citation observations for arXiv:2505.19058.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2505.19058 v1

Coverage vector

measured 66 of 66 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:26:53.058645Z

measured 68 of 68 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-10T09:56:20.351339Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-07-10T09:57:00.793817Z

Reference resolution

66 of 66 outbound references displayed

verified exact5
verified fuzzy43
unresolved18
parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d56f98fb-9fae-4388-a4fb-338b43c8f91d · outbound

This paper cites Investigating the parameters of the beta distribution.

Distributionally Robust Deep Q-Learning Investigating the parameters of the beta distribution

Reference 1

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Observation 9ac03d49-301b-462e-aa0e-f29bd48cd45e · outbound

This paper cites Infinite dimensional analysis: a hitchhiker’s guide.

Distributionally Robust Deep Q-Learning Infinite dimensional analysis: a hitchhiker’s guide

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:26:59.810211Z

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Observation b7f522da-e813-468e-a6b7-fbdbc4005c9e · outbound

This paper cites Computational aspects of robust optimized certainty equiv- alents and option pricing.

Distributionally Robust Deep Q-Learning Computational aspects of robust optimized certainty equiv- alents and option pricing

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:26:59.797222Z

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Observation c17de44c-bf89-4428-b2f5-f41e89f22035 · outbound

This paper cites On the theory of dynamic programming.

Distributionally Robust Deep Q-Learning On the theory of dynamic programming

Reference 4

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Observation ae0c3ccc-57a8-4ac0-b321-2fa2e0c1c04d · outbound

This paper cites Dota 2 with Large Scale Deep Reinforcement Learning.

Distributionally Robust Deep Q-Learning Dota 2 with Large Scale Deep Reinforcement Learning

Reference 5

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Observation fc8655b3-0994-46f6-b078-75faa5cf58a5 · outbound

This paper cites Convex optimization.

Distributionally Robust Deep Q-Learning Convex optimization

Reference 6

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Observation 335e8b6a-d2cc-430c-a794-e6c70c8e712c · outbound

This paper cites Distributionally robust Markov decision processes and their connection to risk measures.

Distributionally Robust Deep Q-Learning Distributionally robust Markov decision processes and their connection to risk measures

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:26:59.756832Z

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Observation 1461b9f8-e872-4b1c-8a58-f98767d84ecf · outbound

This paper cites an unresolved cited work.

Distributionally Robust Deep Q-Learning Unresolved cited work

Reference 8

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Observation c8bb8b23-9445-48d0-bd0c-0f859f07c0a6 · outbound

This paper cites Sinkhorn distances: Lightspeed computation of optimal transport, 2013.

Distributionally Robust Deep Q-Learning Sinkhorn distances: Lightspeed computation of optimal transport, 2013

Reference 9

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Observation 836e6293-d9a6-4848-a7b4-c4090a822da9 · outbound

This paper cites Robust Q-learning for finite ambiguity sets.

Distributionally Robust Deep Q-Learning Robust Q-learning for finite ambiguity sets

Reference 10

Resolution: verified exact; raw_fallback, observed 2026-08-07T14:26:54.193985Z

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Observation 757a9a1a-eb1b-4fc5-b04e-5637ca04f287 · outbound

This paper cites Twice Regularized Markov Decision Processes: The Equivalence between Robustness and Regularization.

Distributionally Robust Deep Q-Learning Twice Regularized Markov Decision Processes: The Equivalence between Robustness and Regularization

Reference 11

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Observation 016885b5-6336-4a61-83bc-6130eab112a1 · outbound

This paper cites Maximum Entropy RL (Provably) Solves Some Robust RL Problems.

Distributionally Robust Deep Q-Learning Maximum Entropy RL (Provably) Solves Some Robust RL Problems

Reference 12

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Observation 6ebf42a6-9e34-4417-be0d-d482898157cd · outbound

This paper cites A theoretical analysis of deep Q-learning.

Distributionally Robust Deep Q-Learning A theoretical analysis of deep Q-learning

Reference 13

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Observation 383dc3d1-25d8-4bb0-b7dc-22b3084143b2 · outbound

This paper cites In- terpolating between optimal transport and mmd using Sinkhorn divergences.

Distributionally Robust Deep Q-Learning In- terpolating between optimal transport and mmd using Sinkhorn divergences

Reference 14

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Observation 742e4c8e-f8e8-491c-8a58-6d57f19be4c7 · outbound

This paper cites Sample complexity of Sinkhorn divergences.

Distributionally Robust Deep Q-Learning Sample complexity of Sinkhorn divergences

Reference 15

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Observation 61f552e5-ee19-46ee-931f-1072e7e14675 · outbound

This paper cites Stability of entropic optimal transport and Schr¨ odinger bridges.

Distributionally Robust Deep Q-Learning Stability of entropic optimal transport and Schr¨ odinger bridges

Reference 16

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Observation 80cc6a39-69e5-4015-b210-74594bae82a9 · outbound

This paper cites Robust Markov decision processes: Beyond rectangularity.Mathematics of Operations Research, 48(1):203–226, 2023.

Distributionally Robust Deep Q-Learning Robust Markov decision processes: Beyond rectangularity.Mathematics of Operations Research, 48(1):203–226, 2023

Reference 17

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Observation f6bfc4ed-785b-4e05-9a94-c43e1aedc790 · outbound

This paper cites Double Q-learning.

Distributionally Robust Deep Q-Learning Double Q-learning

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:26:59.650585Z

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Observation 14cce011-4b45-4032-9112-e2dbd88ecc1b · outbound

This paper cites Universal approximation of an unknown mapping and its derivatives using multilayer feedforward networks.

Distributionally Robust Deep Q-Learning Universal approximation of an unknown mapping and its derivatives using multilayer feedforward networks

Reference 19

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This paper cites Learning to utilize shaping rewards: A new approach of reward shaping.

Distributionally Robust Deep Q-Learning Learning to utilize shaping rewards: A new approach of reward shaping

Reference 20

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This paper cites Robust dynamic programming.

Distributionally Robust Deep Q-Learning Robust dynamic programming

Reference 21

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Observation 54768045-e007-48f4-b640-1e1cf17b974a · outbound

This paper cites Probability essentials.

Distributionally Robust Deep Q-Learning Probability essentials

Reference 22

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This paper cites Universal approximation with deep narrow networks.

Distributionally Robust Deep Q-Learning Universal approximation with deep narrow networks

Reference 23

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This paper cites Probability theory: a comprehensive course.

Distributionally Robust Deep Q-Learning Probability theory: a comprehensive course

Reference 24

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Observation 2196972d-d2b4-4108-97d5-1b9403556f1d · outbound

This paper cites An Efficient Solution to s-Rectangular Robust Markov Decision Processes.

Distributionally Robust Deep Q-Learning An Efficient Solution to s-Rectangular Robust Markov Decision Processes

Reference 25

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Observation 7514de8d-3eea-48f6-971f-ef12ca6fd1ec · outbound

This paper cites Playing fps games with deep reinforcement learning.

Distributionally Robust Deep Q-Learning Playing fps games with deep reinforcement learning

Reference 26

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Observation eb124f69-56be-46e8-bf84-c9cdfc65cddb · outbound

This paper cites Policy gradient algorithms for robust MDPs with non-rectangular uncertainty sets.

Distributionally Robust Deep Q-Learning Policy gradient algorithms for robust MDPs with non-rectangular uncertainty sets

Reference 27

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Observation cc11521d-e1d2-4be7-b7f0-b84df17fb853 · outbound

This paper cites On the efficiency of entropic regularized algorithms for optimal transport.

Distributionally Robust Deep Q-Learning On the efficiency of entropic regularized algorithms for optimal transport

Reference 28

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Observation c7092ac4-6b7b-4725-93a5-afb950f7fa7c · outbound

This paper cites Distri- butionally robust Q-learning.

Distributionally Robust Deep Q-Learning Distri- butionally robust Q-learning

Reference 29

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Observation 2e2e4b44-ad3f-4779-b02b-8752d1864697 · outbound

This paper cites Generative model for financial time series trained with MMD using a signature kernel.

Distributionally Robust Deep Q-Learning Generative model for financial time series trained with MMD using a signature kernel

Reference 30

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Observation e7ebd7b1-035f-4e75-9410-b57014f7b327 · outbound

This paper cites Robust MDPs with k-rectangular uncertainty.Mathematics of Operations Research, 41(4):1484–1509, 2016.

Distributionally Robust Deep Q-Learning Robust MDPs with k-rectangular uncertainty.Mathematics of Operations Research, 41(4):1484–1509, 2016

Reference 31

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This paper cites Rusu, Joel Veness, Marc G.

Distributionally Robust Deep Q-Learning Rusu, Joel Veness, Marc G

Reference 32

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Observation d33f3249-3bb9-4739-af78-1e972bea358f · outbound

This paper cites Robust SGLD algorithm for solving non-convex distributionally robust optimisation problems.

Distributionally Robust Deep Q-Learning Robust SGLD algorithm for solving non-convex distributionally robust optimisation problems

Reference 33

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This paper cites Universal approximation results for neural networks with non-polynomial activation function over non-compact domains.

Distributionally Robust Deep Q-Learning Universal approximation results for neural networks with non-polynomial activation function over non-compact domains

Reference 34

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This paper cites Neural networks can detect model-free static arbitrage strategies.

Distributionally Robust Deep Q-Learning Neural networks can detect model-free static arbitrage strategies

Reference 35

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Observation 8042d1d6-830d-4a55-9209-fbb9db4e4e27 · outbound

This paper cites Robust Q-learning algorithm for markov decision processes under Wasserstein uncertainty.

Distributionally Robust Deep Q-Learning Robust Q-learning algorithm for markov decision processes under Wasserstein uncertainty

Reference 36

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Observation a298fc5b-8367-49f9-a359-13bf6d74ecac · outbound

This paper cites Non-concave stochastic optimal control in finite discrete time under model uncertainty.

Distributionally Robust Deep Q-Learning Non-concave stochastic optimal control in finite discrete time under model uncertainty

Reference 37

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Observation d9cd9e9c-8e3a-42e0-a377-cd107430d60b · outbound

This paper cites Markov decision processes under model uncertainty.Mathematical Finance, 33(3):618–665, 2023.

Distributionally Robust Deep Q-Learning Markov decision processes under model uncertainty.Mathematical Finance, 33(3):618–665, 2023

Reference 38

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This paper cites Robust control of Markov decision processes with uncertain transition matrices.

Distributionally Robust Deep Q-Learning Robust control of Markov decision processes with uncertain transition matrices

Reference 39

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This paper cites Introduction to entropic optimal transport.

Distributionally Robust Deep Q-Learning Introduction to entropic optimal transport

Reference 40

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This paper cites Robust reinforcement learning using offline data.

Distributionally Robust Deep Q-Learning Robust reinforcement learning using offline data

Reference 41

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Observation eea69139-5433-4db7-a707-11bffd83a295 · outbound

This paper cites Approximation theory of the MLP model in neural networks.

Distributionally Robust Deep Q-Learning Approximation theory of the MLP model in neural networks

Reference 42

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Observation ddba481d-1872-4c3d-8d0d-08a0d80b2ec0 · outbound

This paper cites Distributionally Robust Optimization: A Review.

Distributionally Robust Deep Q-Learning Distributionally Robust Optimization: A Review

Reference 43

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This paper cites Distributionally robust model-based reinforcement learning with large state spaces.

Distributionally Robust Deep Q-Learning Distributionally robust model-based reinforcement learning with large state spaces

Reference 44

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This paper cites Principles of mathematical analysis , volume 3.

Distributionally Robust Deep Q-Learning Principles of mathematical analysis , volume 3

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:26:56.883665Z

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This paper cites Structural estimation of Markov decision processes.

Distributionally Robust Deep Q-Learning Structural estimation of Markov decision processes

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:26:56.753591Z

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This paper cites Universal approximation using feedforward neural networks: A survey of some existing methods, and some new results.

Distributionally Robust Deep Q-Learning Universal approximation using feedforward neural networks: A survey of some existing methods, and some new results

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:26:56.643022Z

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Observation e5d9e8fa-928a-4bf0-bce8-48391be90837 · outbound

This paper cites A relationship between arbitrary positive matrices and doubly stochastic matrices.

Distributionally Robust Deep Q-Learning A relationship between arbitrary positive matrices and doubly stochastic matrices

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:26:56.488784Z

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Observation 66540415-4f95-4bf3-ab46-6545ddfb849a · outbound

This paper cites Distributionally Robust Reinforcement Learning.

Distributionally Robust Deep Q-Learning Distributionally Robust Reinforcement Learning

Reference 49

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This paper cites Reinforcement learning: An introduction.

Distributionally Robust Deep Q-Learning Reinforcement learning: An introduction

Reference 50

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Observation daddacaa-5731-4c90-af39-38eaa04cb3cb · outbound

This paper cites Sinkhorn Divergences for Unbalanced Optimal Transport.

Distributionally Robust Deep Q-Learning Sinkhorn Divergences for Unbalanced Optimal Transport

Reference 51

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This paper cites Deep reinforcement learning: From Q-learning to deep Q-learning.

Distributionally Robust Deep Q-Learning Deep reinforcement learning: From Q-learning to deep Q-learning

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:26:56.330805Z

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Observation 9eb8acb0-7ace-4c7a-a575-38fa53266750 · outbound

This paper cites Deep reinforcement learning with double Q-learning.

Distributionally Robust Deep Q-Learning Deep reinforcement learning with double Q-learning

Reference 53

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Observation c2722181-b1d1-4d24-a021-bab0144a683b · outbound

This paper cites Springer, 2009.

Distributionally Robust Deep Q-Learning Springer, 2009

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:26:55.978372Z

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Observation 8a7301d0-28a0-4060-9ebc-8fe544c6c5b7 · outbound

This paper cites Sinkhorn Distributionally Robust Optimization.

Distributionally Robust Deep Q-Learning Sinkhorn Distributionally Robust Optimization

Reference 55

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Observation d1c9673b-498d-493f-aa91-e2d8a0a25d65 · outbound

This paper cites Policy gradient in robust MDPs with global convergence guarantee, 2023.

Distributionally Robust Deep Q-Learning Policy gradient in robust MDPs with global convergence guarantee, 2023

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:26:55.774906Z

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Observation 5a9ea900-7541-46ae-8ad3-2da91d988d08 · outbound

This paper cites A finite sample complexity bound for distribu- tionally robust Q-learning.

Distributionally Robust Deep Q-Learning A finite sample complexity bound for distribu- tionally robust Q-learning

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:26:55.587589Z

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Observation 1fdd2e0b-7b1d-4ce1-9e14-8bbca4e226fd · outbound

This paper cites Sample complexity of variance-reduced distribu- tionally robust Q-learning.

Distributionally Robust Deep Q-Learning Sample complexity of variance-reduced distribu- tionally robust Q-learning

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:26:55.405979Z

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Observation e46641e0-b583-4a1a-a953-2f322065ca27 · outbound

This paper cites Online robust reinforcement learning with model uncertainty.

Distributionally Robust Deep Q-Learning Online robust reinforcement learning with model uncertainty

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-07T14:26:52.508548Z

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Observation a4a41a19-4422-4fd5-ae3a-fdaa96631e48 · outbound

This paper cites Policy gradient method for robust reinforcement learning, 2022.

Distributionally Robust Deep Q-Learning Policy gradient method for robust reinforcement learning, 2022

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:26:55.215824Z

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Observation 0848a997-d20d-44f5-984c-55c6e2a6e9e0 · outbound

This paper cites an unresolved cited work.

Distributionally Robust Deep Q-Learning Unresolved cited work

Reference 61

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Observation 33fe3bf7-a23e-473b-bd21-36faa5913b7a · outbound

This paper cites Robust Markov decision processes.

Distributionally Robust Deep Q-Learning Robust Markov decision processes

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:26:55.057577Z

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Observation 1b3e7aef-70fb-45c3-88bd-798f2076fa29 · outbound

This paper cites Distributionally robust Markov decision processes.

Distributionally Robust Deep Q-Learning Distributionally robust Markov decision processes

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:26:54.909557Z

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Observation fc240353-9188-43fd-8ea5-ac5677b2b03d · outbound

This paper cites A convex optimization approach to distributionally robust Markov decision processes with Wasser- stein distance.

Distributionally Robust Deep Q-Learning A convex optimization approach to distributionally robust Markov decision processes with Wasser- stein distance

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:26:54.728296Z

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Observation 8158a332-f577-4700-bfb1-88cf205a7ebc · outbound

This paper cites Wasserstein distributionally robust stochastic control: A data-driven approach.

Distributionally Robust Deep Q-Learning Wasserstein distributionally robust stochastic control: A data-driven approach

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:26:54.550806Z

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Observation 1e5f6c2c-bf72-44e7-87f3-7a550d9b32ce · outbound

This paper cites On linear optimization over Wasserstein balls.

Distributionally Robust Deep Q-Learning On linear optimization over Wasserstein balls

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:26:54.369542Z

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Pith citing papers

Observation 1aaa4507-cffe-4cfc-8c0a-8764e250a890 · inbound

Robust $Q$-learning for mean-field control under Wasserstein uncertainty in common noise cites this paper.

Robust $Q$-learning for mean-field control under Wasserstein uncertainty in common noise Distributionally Robust Deep Q-Learning

Reference 61

Resolution: verified exact; arxiv_id, observed 2026-07-04T05:29:35.432393Z

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Observation 8e06f30b-2c3b-48d9-8ffd-d411166a95ae · inbound

Robustness in Sequential Decision Making under Evolving Uncertainty: Evidence from High-Frequency Market Making cites this paper.

Robustness in Sequential Decision Making under Evolving Uncertainty: Evidence from High-Frequency Market Making Distributionally Robust Deep Q-Learning

Reference 105

Resolution: verified exact; local_arxiv, observed 2026-07-10T09:57:00.795026Z

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