Auditing the Risk Claims of Distributional Reinforcement Learning | Paper Citation Record

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This paper cites and Dabney, Will and Munos, R.

Auditing the Risk Claims of Distributional Reinforcement Learning and Dabney, Will and Munos, R

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Auditing the Risk Claims of Distributional Reinforcement Learning and Munos, R

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This paper cites Implicit Quantile Networks for Distributional Reinforcement Learning , booktitle =.

Auditing the Risk Claims of Distributional Reinforcement Learning Implicit Quantile Networks for Distributional Reinforcement Learning , booktitle =

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Auditing the Risk Claims of Distributional Reinforcement Learning Advances in Neural Information Processing Systems 32 , year =

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Auditing the Risk Claims of Distributional Reinforcement Learning Proceedings of the 26th Conference on Uncertainty in Artificial Intelligence , year =

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Auditing the Risk Claims of Distributional Reinforcement Learning Proceedings of the 32nd AAAI Conference on Artificial Intelligence , year =

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This paper cites and Dabney, Will and Rowland, Mark , title =.

Auditing the Risk Claims of Distributional Reinforcement Learning and Dabney, Will and Rowland, Mark , title =

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This paper cites and Dabney, Will and Munos, R.

Auditing the Risk Claims of Distributional Reinforcement Learning and Dabney, Will and Munos, R

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This paper cites Statistics and Samples in Distributional Reinforcement Learning , booktitle =.

Auditing the Risk Claims of Distributional Reinforcement Learning Statistics and Samples in Distributional Reinforcement Learning , booktitle =

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This paper cites An Analysis of Quantile Temporal-Difference Learning , journal =.

Auditing the Risk Claims of Distributional Reinforcement Learning An Analysis of Quantile Temporal-Difference Learning , journal =

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This paper cites The Statistical Benefits of Quantile Temporal-Difference Learning for Value Estimation , booktitle =.

Auditing the Risk Claims of Distributional Reinforcement Learning The Statistical Benefits of Quantile Temporal-Difference Learning for Value Estimation , booktitle =

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Auditing the Risk Claims of Distributional Reinforcement Learning and Castro, Pablo Samuel , title =

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Auditing the Risk Claims of Distributional Reinforcement Learning Proceedings of the 35th AAAI Conference on Artificial Intelligence , year =

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Auditing the Risk Claims of Distributional Reinforcement Learning Proceedings of the 36th International Conference on Machine Learning , year =

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This paper cites A Distributional Code for Value in Dopamine-Based Reinforcement Learning , journal =.

Auditing the Risk Claims of Distributional Reinforcement Learning A Distributional Code for Value in Dopamine-Based Reinforcement Learning , journal =

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Auditing the Risk Claims of Distributional Reinforcement Learning The Cramer Distance as a Solution to Biased Wasserstein Gradients

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Auditing the Risk Claims of Distributional Reinforcement Learning , title =

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Auditing the Risk Claims of Distributional Reinforcement Learning Mathematical Finance , volume =

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Auditing the Risk Claims of Distributional Reinforcement Learning Tyrrell and Uryasev, Stanislav , title =

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Auditing the Risk Claims of Distributional Reinforcement Learning Proceedings of the 29th AAAI Conference on Artificial Intelligence , year =

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Auditing the Risk Claims of Distributional Reinforcement Learning Advances in Neural Information Processing Systems 28 , year =

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Auditing the Risk Claims of Distributional Reinforcement Learning Proceedings of the 34th AAAI Conference on Artificial Intelligence , year =

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Auditing the Risk Claims of Distributional Reinforcement Learning Proceedings of the 3rd Conference on Robot Learning , year =

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Auditing the Risk Claims of Distributional Reinforcement Learning Advances in Neural Information Processing Systems 35 , year =

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Auditing the Risk Claims of Distributional Reinforcement Learning Advances in Neural Information Processing Systems 35 , year =

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Auditing the Risk Claims of Distributional Reinforcement Learning and Van Delft, Bastien and Robaglia, Beno

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Auditing the Risk Claims of Distributional Reinforcement Learning Disentangling Epistemic and Aleatoric Uncertainty in Reinforcement Learning , journal =

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Auditing the Risk Claims of Distributional Reinforcement Learning Unresolved cited work

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Auditing the Risk Claims of Distributional Reinforcement Learning Advances in Neural Information Processing Systems 38 , year =

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Auditing the Risk Claims of Distributional Reinforcement Learning Proceedings of the 38th Conference on Uncertainty in Artificial Intelligence , year =

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Auditing the Risk Claims of Distributional Reinforcement Learning Advances in Neural Information Processing Systems 29 , year =

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Auditing the Risk Claims of Distributional Reinforcement Learning Proceedings of the 33rd International Conference on Machine Learning , year =

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Auditing the Risk Claims of Distributional Reinforcement Learning Advances in Neural Information Processing Systems 30 , year =

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Auditing the Risk Claims of Distributional Reinforcement Learning Advances in Neural Information Processing Systems 30 , year =

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Auditing the Risk Claims of Distributional Reinforcement Learning Decomposition of Uncertainty in Bayesian Deep Learning for Efficient and Risk-Sensitive Learning , booktitle =

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Auditing the Risk Claims of Distributional Reinforcement Learning , title =

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Auditing the Risk Claims of Distributional Reinforcement Learning Proceedings of the 40th International Conference on Machine Learning , year =

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Auditing the Risk Claims of Distributional Reinforcement Learning arXiv preprint arXiv:2309.17262 , year =

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Auditing the Risk Claims of Distributional Reinforcement Learning and Abate, Alessandro and Johansson, Karl Henrik , title =

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Auditing the Risk Claims of Distributional Reinforcement Learning and Bellemare, Marc G

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Auditing the Risk Claims of Distributional Reinforcement Learning Proceedings of the 32nd AAAI Conference on Artificial Intelligence , year =

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Auditing the Risk Claims of Distributional Reinforcement Learning How Many Random Seeds? Statistical Power Analysis in Deep Reinforcement Learning Experiments , journal =

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Auditing the Risk Claims of Distributional Reinforcement Learning Journal of the Royal Statistical Society: Series B , volume =

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Auditing the Risk Claims of Distributional Reinforcement Learning , title =

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Auditing the Risk Claims of Distributional Reinforcement Learning Probability Theory and Related Fields , volume =

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Auditing the Risk Claims of Distributional Reinforcement Learning Bernoulli , volume =

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Auditing the Risk Claims of Distributional Reinforcement Learning On Wasserstein Two-Sample Testing and Related Families of Nonparametric Tests , journal =

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Auditing the Risk Claims of Distributional Reinforcement Learning Optimal Transport: Old and New , publisher =

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Auditing the Risk Claims of Distributional Reinforcement Learning Proceedings of the 35th International Conference on Machine Learning , year =

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Auditing the Risk Claims of Distributional Reinforcement Learning Proceedings of the 8th International Conference on Learning Representations , year =

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Auditing the Risk Claims of Distributional Reinforcement Learning Concrete Problems in AI Safety

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Auditing the Risk Claims of Distributional Reinforcement Learning A Comprehensive Survey on Safe Reinforcement Learning , journal =

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Auditing the Risk Claims of Distributional Reinforcement Learning S.; Courville, A

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Auditing the Risk Claims of Distributional Reinforcement Learning G.; Dabney, W.; and Munos, R

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Auditing the Risk Claims of Distributional Reinforcement Learning G.; Dabney, W.; and Rowland, M

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Auditing the Risk Claims of Distributional Reinforcement Learning Disentangling Epistemic and Aleatoric Uncertainty in Reinforcement Learning

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Auditing the Risk Claims of Distributional Reinforcement Learning Estimating Risk and Uncertainty in Deep Reinforcement Learning

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Observation 2ec6bdb7-7b47-4124-a132-1490326ac2b9 · outbound

This paper cites G.; and Munos, R.

Auditing the Risk Claims of Distributional Reinforcement Learning G.; and Munos, R

Reference 68

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Observation 3885af49-f821-402f-b59c-2d9e11246036 · outbound

This paper cites an unresolved cited work.

Auditing the Risk Claims of Distributional Reinforcement Learning Unresolved cited work

Reference 69

Resolution: unresolved; no resolver link, observed 2026-07-14T04:26:46.686445Z

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Observation 5c673460-6e4e-4926-8e9d-6aedbe6b8d3a · outbound

This paper cites an unresolved cited work.

Auditing the Risk Claims of Distributional Reinforcement Learning Unresolved cited work

Reference 70

Resolution: unresolved; no resolver link, observed 2026-07-14T04:26:46.686445Z

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Observation 887296c3-c056-42cf-af5b-fea4ed513b5e · outbound

This paper cites an unresolved cited work.

Auditing the Risk Claims of Distributional Reinforcement Learning Unresolved cited work

Reference 71

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Observation f2863f82-8553-4c28-9809-1351e4dabdcd · outbound

This paper cites an unresolved cited work.

Auditing the Risk Claims of Distributional Reinforcement Learning Unresolved cited work

Reference 72

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Observation f4e69bbe-3b2d-4697-8240-85e5cb0f0a65 · outbound

This paper cites an unresolved cited work.

Auditing the Risk Claims of Distributional Reinforcement Learning Unresolved cited work

Reference 73

Resolution: unresolved; no resolver link, observed 2026-07-14T04:26:46.686445Z

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Observation 3a028f49-88e1-42f2-ac9a-28e10ae1065c · outbound

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Auditing the Risk Claims of Distributional Reinforcement Learning Ensemble Quantile Networks: Uncertainty-Aware Reinforcement Learning with Applications in Autonomous Driving

Reference 74

Resolution: unresolved; no resolver link, observed 2026-07-14T04:26:46.686445Z

Source-reported events for the cited work

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Observation bf726e02-8563-4d85-a3e1-0e4662588c18 · outbound

This paper cites an unresolved cited work.

Auditing the Risk Claims of Distributional Reinforcement Learning Unresolved cited work

Reference 75

Resolution: unresolved; no resolver link, observed 2026-07-14T04:26:46.686445Z

Source-reported events for the cited work

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Observation a9b42d7a-50ef-4696-bde0-3f4dec8d1a95 · outbound

This paper cites H.; and Malik, I.

Auditing the Risk Claims of Distributional Reinforcement Learning H.; and Malik, I

Reference 76

Resolution: unresolved; no resolver link, observed 2026-07-14T04:26:46.686445Z

Source-reported events for the cited work

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Observation f89e98c1-0b50-449f-b2ab-b19e90921d9e · outbound

This paper cites G.; and Castro, P.

Auditing the Risk Claims of Distributional Reinforcement Learning G.; and Castro, P

Reference 77

Resolution: unresolved; no resolver link, observed 2026-07-14T04:26:46.686445Z

Source-reported events for the cited work

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Observation cdf5b794-6eda-42b8-980c-1e56d9b55d74 · outbound

This paper cites C.; Bellemare, M.

Auditing the Risk Claims of Distributional Reinforcement Learning C.; Bellemare, M

Reference 78

Resolution: unresolved; no resolver link, observed 2026-07-14T04:26:46.686445Z

Source-reported events for the cited work

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Observation 5fcc8d3e-3f62-494f-9422-11b8043a0c97 · outbound

This paper cites T.; and Uryasev, S.

Auditing the Risk Claims of Distributional Reinforcement Learning T.; and Uryasev, S

Reference 79

Resolution: unresolved; no resolver link, observed 2026-07-14T04:26:46.686445Z

Source-reported events for the cited work

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Observation e81bd0c3-29e4-4b66-a998-f4abc2d3b633 · outbound

This paper cites G.; Dabney, W.; Munos, R.; and Teh, Y.

Auditing the Risk Claims of Distributional Reinforcement Learning G.; Dabney, W.; Munos, R.; and Teh, Y

Reference 80

Resolution: unresolved; no resolver link, observed 2026-07-14T04:26:46.686445Z

Source-reported events for the cited work

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Observation 3880b616-7378-4dc6-a65a-d7965efe4d90 · outbound

This paper cites An Analysis of Quantile Temporal-Difference Learning.

Auditing the Risk Claims of Distributional Reinforcement Learning An Analysis of Quantile Temporal-Difference Learning

Reference 81

Resolution: unresolved; no resolver link, observed 2026-07-14T04:26:46.686445Z

Source-reported events for the cited work

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Observation e4ee6e8a-aed0-4cbd-b591-d5093c420a94 · outbound

This paper cites G.; and Dabney, W.

Auditing the Risk Claims of Distributional Reinforcement Learning G.; and Dabney, W

Reference 82

Resolution: unresolved; no resolver link, observed 2026-07-14T04:26:46.686445Z

Source-reported events for the cited work

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Observation b5efa899-9017-44c7-b8c6-2b07bc661970 · outbound

This paper cites Echoes of Socratic Doubt: Embracing Uncertainty in Calibrated Evidential Reinforcement Learning.

Auditing the Risk Claims of Distributional Reinforcement Learning Echoes of Socratic Doubt: Embracing Uncertainty in Calibrated Evidential Reinforcement Learning

Reference 83

Resolution: unresolved; no resolver link, observed 2026-07-14T04:26:46.686445Z

Source-reported events for the cited work

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Observation eabe90ef-2c07-49fb-aa22-c7a8a8db1ac9 · outbound

This paper cites an unresolved cited work.

Auditing the Risk Claims of Distributional Reinforcement Learning Unresolved cited work

Reference 84

Resolution: unresolved; no resolver link, observed 2026-07-14T04:26:46.686445Z

Source-reported events for the cited work

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Observation c07d10c2-0144-4396-be68-27b763aa4fb6 · outbound

This paper cites an unresolved cited work.

Auditing the Risk Claims of Distributional Reinforcement Learning Unresolved cited work

Reference 85

Resolution: unresolved; no resolver link, observed 2026-07-14T04:26:46.686445Z

Source-reported events for the cited work

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Observation f4c43d8d-61d7-4da8-acf0-13d5560d9f91 · outbound

This paper cites MinAtar: An Atari-Inspired Testbed for Thorough and Reproducible Reinforcement Learning Experiments.

Auditing the Risk Claims of Distributional Reinforcement Learning MinAtar: An Atari-Inspired Testbed for Thorough and Reproducible Reinforcement Learning Experiments

Reference 86

Resolution: unresolved; no resolver link, observed 2026-07-14T04:26:46.686445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e1f13d5-db31-4be3-aa16-108b803334f7 · outbound

This paper cites A.; B \"o hmer, W.; and Spaan, M.

Auditing the Risk Claims of Distributional Reinforcement Learning A.; B \"o hmer, W.; and Spaan, M

Reference 87

Resolution: unresolved; no resolver link, observed 2026-07-14T04:26:46.686445Z

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Outbound references

Pith citing papers