Robust General Utility for Reinforcement Learning | Paper Citation Record

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This paper cites International Conference on Machine Learning , pages=.

Robust General Utility for Reinforcement Learning International Conference on Machine Learning , pages=

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Robust General Utility for Reinforcement Learning Advances in Neural Information Processing Systems , volume=

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Robust General Utility for Reinforcement Learning Advances in Neural Information Processing Systems , volume=

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Robust General Utility for Reinforcement Learning Advances in Neural Information Processing Systems , volume=

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This paper cites Policy Gradient for Reinforcement Learning with General Utilities.

Robust General Utility for Reinforcement Learning Policy Gradient for Reinforcement Learning with General Utilities

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Robust General Utility for Reinforcement Learning Proceedings of the AAAI Conference on Artificial Intelligence , volume=

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Robust General Utility for Reinforcement Learning IEEE Transactions on Pattern Analysis and Machine Intelligence , year=

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Robust General Utility for Reinforcement Learning 2021 , publisher=

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Robust General Utility for Reinforcement Learning Advances in neural information processing systems , volume=

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Robust General Utility for Reinforcement Learning 2008 , publisher=

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This paper cites International conference on machine learning , pages=.

Robust General Utility for Reinforcement Learning International conference on machine learning , pages=

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Robust General Utility for Reinforcement Learning Proceedings of the AAAI Conference on Artificial Intelligence , volume=

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Robust General Utility for Reinforcement Learning 2021 , publisher=

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Robust General Utility for Reinforcement Learning International Conference on Artificial Intelligence and Statistics , pages=

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Robust General Utility for Reinforcement Learning International conference on machine learning , pages=

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Robust General Utility for Reinforcement Learning SIAM Journal on Applied Mathematics , volume=

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Robust General Utility for Reinforcement Learning Operations Research Letters , volume=

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Robust General Utility for Reinforcement Learning Lecture notes

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Robust General Utility for Reinforcement Learning International Conference on Machine Learning , pages=

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This paper cites Large-Scale Markov Decision Problems via the Linear Programming Dual.

Robust General Utility for Reinforcement Learning Large-Scale Markov Decision Problems via the Linear Programming Dual

Reference 21

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Robust General Utility for Reinforcement Learning 2004 , publisher=

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Robust General Utility for Reinforcement Learning SIAM Journal on Optimization , volume=

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Robust General Utility for Reinforcement Learning Advances in Neural Information Processing Systems , volume=

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Robust General Utility for Reinforcement Learning Proceedings of Thirty Third Conference on Learning Theory , pages =

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Robust General Utility for Reinforcement Learning Management Science , volume=

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Robust General Utility for Reinforcement Learning Proceedings of the AAAI Conference on Artificial Intelligence , volume=

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Robust General Utility for Reinforcement Learning International conference on machine learning , pages=

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This paper cites Concave Utility Reinforcement Learning: the Mean-Field Game Viewpoint.

Robust General Utility for Reinforcement Learning Concave Utility Reinforcement Learning: the Mean-Field Game Viewpoint

Reference 29

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Robust General Utility for Reinforcement Learning Advances in neural information processing systems , volume=

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Robust General Utility for Reinforcement Learning Part I: Theory , author=

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Robust General Utility for Reinforcement Learning Mathematics of Operations Research , volume=

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Robust General Utility for Reinforcement Learning IEEE Journal on Selected Areas in Information Theory , volume=

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Robust General Utility for Reinforcement Learning Journal of Machine Learning Research , volume=

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Robust General Utility for Reinforcement Learning 2018 IEEE international conference on robotics and automation (ICRA) , pages=

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Robust General Utility for Reinforcement Learning Management Science , volume=

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Robust General Utility for Reinforcement Learning Advances in Neural Information Processing Systems , year=

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Robust General Utility for Reinforcement Learning Risk-Sensitive Soft Actor-Critic for Robust Deep Reinforcement Learning under Distribution Shifts

Reference 38

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Robust General Utility for Reinforcement Learning Neural computation , volume=

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Robust General Utility for Reinforcement Learning Advances in Neural Information Processing Systems , volume=

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Robust General Utility for Reinforcement Learning International conference on machine learning , pages=

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Robust General Utility for Reinforcement Learning 2025 , url=

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Robust General Utility for Reinforcement Learning arXiv preprint arXiv:2410.04108 , year=

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Robust General Utility for Reinforcement Learning Advances in Neural Information Processing Systems , volume=

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Robust General Utility for Reinforcement Learning Risk-sensitive Markov Decision Process and Learning under General Utility Functions

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Robust General Utility for Reinforcement Learning 2018 IEEE International Conference on Robotics and Automation (ICRA) , pages=

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Robust General Utility for Reinforcement Learning Safe, Multi-Agent, Reinforcement Learning for Autonomous Driving

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Robust General Utility for Reinforcement Learning 2020 IEEE International conference on healthcare informatics (ICHI) , pages=

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Robust General Utility for Reinforcement Learning Mathematical finance , volume=

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Robust General Utility for Reinforcement Learning 2024 , publisher=

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Robust General Utility for Reinforcement Learning Grimmer et al

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Robust General Utility for Reinforcement Learning INFORMS Journal on Optimization , volume=

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Robust General Utility for Reinforcement Learning Matecon , volume=

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Robust General Utility for Reinforcement Learning Mathematics of Operations Research , volume=

Reference 54

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Robust General Utility for Reinforcement Learning Mathematics of Operations Research , volume=

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Robust General Utility for Reinforcement Learning Lightning Does Not Strike Twice: Robust MDPs with Coupled Uncertainty

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Robust General Utility for Reinforcement Learning Reward-Robust RLHF in LLMs

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Robust General Utility for Reinforcement Learning Proceedings of the AAAI conference on artificial intelligence , volume=

Reference 58

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Robust General Utility for Reinforcement Learning IEEE Transactions on Artificial Intelligence , volume=

Reference 59

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Robust General Utility for Reinforcement Learning International Conference on Machine Learning , pages=

Reference 60

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Robust General Utility for Reinforcement Learning Mathematics of Operations Research , volume=

Reference 61

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Robust General Utility for Reinforcement Learning Mathematics of Operations Research , volume=

Reference 62

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Robust General Utility for Reinforcement Learning Advances in Neural Information Processing Systems , volume=

Reference 63

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Robust General Utility for Reinforcement Learning Journal of Machine Learning Research , volume=

Reference 64

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Robust General Utility for Reinforcement Learning 2001 , publisher=

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:55:09.220311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e9b2c572-9e8b-4e6b-8f94-375c322e160b · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.

Robust General Utility for Reinforcement Learning Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:55:09.207867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e2956207-a52c-4bb9-964e-2499182d6341 · outbound

This paper cites Risk-aware Direct Preference Optimization under Nested Risk Measure.

Robust General Utility for Reinforcement Learning Risk-aware Direct Preference Optimization under Nested Risk Measure

Reference 67

Resolution: metadata mismatch; local_arxiv, observed 2026-08-15T14:55:08.738163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e1bd5064-5889-4650-82b4-0f34205b91c9 · outbound

This paper cites arXiv preprint arXiv:2511.20726 , year=.

Robust General Utility for Reinforcement Learning arXiv preprint arXiv:2511.20726 , year=

Reference 68

Resolution: verified exact; raw_fallback, observed 2026-08-15T14:55:08.715866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation bcc31a39-b225-43ab-95cc-5880f4c09989 · outbound

This paper cites Policy Gradients with Variance Related Risk Criteria.

Robust General Utility for Reinforcement Learning Policy Gradients with Variance Related Risk Criteria

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-15T14:55:08.400325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7dcdd42-5db6-4661-809c-63a97812504d · outbound

This paper cites Journal of risk , volume=.

Robust General Utility for Reinforcement Learning Journal of risk , volume=

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-15T14:55:08.404889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb155e9b-8345-45c5-adc4-59de326365a3 · outbound

This paper cites Advances in neural information processing systems , volume=.

Robust General Utility for Reinforcement Learning Advances in neural information processing systems , volume=

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:55:09.187132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5e44678c-9994-4774-90ae-f0837ff3c72e · outbound

This paper cites International conference on machine learning , pages=.

Robust General Utility for Reinforcement Learning International conference on machine learning , pages=

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:55:09.175148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 1fe60b06-9501-4777-84ff-0180826db80d · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Robust General Utility for Reinforcement Learning Advances in Neural Information Processing Systems , volume=

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-15T14:55:08.416900Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3554b77a-790a-40c7-9691-a58cda2a5d29 · outbound

This paper cites Journal of Machine Learning Research , volume=.

Robust General Utility for Reinforcement Learning Journal of Machine Learning Research , volume=

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:55:09.151767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e248cd1c-0504-4680-8554-4213a891d297 · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.

Robust General Utility for Reinforcement Learning Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:55:09.136626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 19ef29d5-c961-4ee2-9fd7-a9f21d2ef46c · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Robust General Utility for Reinforcement Learning Advances in Neural Information Processing Systems , volume=

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:55:09.123395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 20aeb236-e07e-434e-a83a-1eb20485db9e · outbound

This paper cites Safe RLHF: Safe Reinforcement Learning from Human Feedback.

Robust General Utility for Reinforcement Learning Safe RLHF: Safe Reinforcement Learning from Human Feedback

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-15T14:55:08.434791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74f1b72d-9626-4aa2-a0ff-2cb106c813c6 · outbound

This paper cites International Conference on Machine Learning , pages=.

Robust General Utility for Reinforcement Learning International Conference on Machine Learning , pages=

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-15T14:55:08.439592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 519141a6-e25f-486f-bd85-fa702c457c1c · outbound

This paper cites 1997 , publisher=.

Robust General Utility for Reinforcement Learning 1997 , publisher=

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:55:09.102833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c248e089-96c9-4f2c-a525-9d2aa528ca4a · outbound

This paper cites Proximal Policy Optimization Algorithms.

Robust General Utility for Reinforcement Learning Proximal Policy Optimization Algorithms

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-15T14:55:08.447778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4eefc245-5408-4c5d-824c-b50b015b0262 · outbound

This paper cites Advances in neural information processing systems , volume=.

Robust General Utility for Reinforcement Learning Advances in neural information processing systems , volume=

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-15T14:55:08.452271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bffb2d5c-7713-47b1-9b26-681cf2ee0087 · outbound

This paper cites International Conference on Learning Representations , year=.

Robust General Utility for Reinforcement Learning International Conference on Learning Representations , year=

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:55:09.082066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 69f76097-e903-4b08-8807-8c64910ad389 · outbound

This paper cites International Conference on Learning Representations , year=.

Robust General Utility for Reinforcement Learning International Conference on Learning Representations , year=

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-15T14:55:08.460863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63a9ef1a-325a-4a92-ad7f-2a8c21d77b3d · outbound

This paper cites an unresolved cited work.

Robust General Utility for Reinforcement Learning Unresolved cited work

Reference 84

Resolution: unresolved; raw_fallback, observed 2026-08-15T14:55:09.060129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 893badf8-8cda-4294-a474-d1edce9b8135 · outbound

This paper cites Machine learning , volume=.

Robust General Utility for Reinforcement Learning Machine learning , volume=

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-15T14:55:08.469615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 443f86df-948e-45c0-96e7-6c2c87f8a65c · outbound

This paper cites Advances in neural information processing systems , volume=.

Robust General Utility for Reinforcement Learning Advances in neural information processing systems , volume=

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:55:09.039510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9b37d7c5-e21d-4920-9392-6e3d089bac70 · outbound

This paper cites Sbornik: Mathematics , volume=.

Robust General Utility for Reinforcement Learning Sbornik: Mathematics , volume=

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:55:09.027022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation be66bef6-014b-4e6f-b38b-98741ef8c7cd · outbound

This paper cites Journal of Mathematical Analysis and Applications , volume=.

Robust General Utility for Reinforcement Learning Journal of Mathematical Analysis and Applications , volume=

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:55:09.013508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 621a96a8-4d22-4b86-9691-d8601861da66 · outbound

This paper cites Journal of banking & finance , volume=.

Robust General Utility for Reinforcement Learning Journal of banking & finance , volume=

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:55:08.999415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 0eed2b43-75f0-4175-8012-afa3c0d5c2c2 · outbound

This paper cites arXiv preprint arXiv:2503.03064 , year=.

Robust General Utility for Reinforcement Learning arXiv preprint arXiv:2503.03064 , year=

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-15T14:55:08.489093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9eb6ba9c-91d6-4160-974b-d311f783afe7 · outbound

This paper cites Accelerated Single-Call Methods for Constrained Min-Max Optimization.

Robust General Utility for Reinforcement Learning Accelerated Single-Call Methods for Constrained Min-Max Optimization

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-15T14:55:08.492703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eedf9b09-1b65-4e73-afaf-e132cc0fb12f · outbound

This paper cites International Conference on Artificial Intelligence and Statistics , pages=.

Robust General Utility for Reinforcement Learning International Conference on Artificial Intelligence and Statistics , pages=

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-15T14:55:08.496358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82fd8b11-0b6c-45cf-a06d-46fcb44b5797 · outbound

This paper cites Journal of Machine Learning Research , volume=.

Robust General Utility for Reinforcement Learning Journal of Machine Learning Research , volume=

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-15T14:55:08.499668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2cd7c48-6661-4441-984b-2e3e1f73ae39 · outbound

This paper cites Stochastic Systems , volume=.

Robust General Utility for Reinforcement Learning Stochastic Systems , volume=

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-15T14:55:08.503405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 353ec410-a9d3-40ea-a9d8-f49842cfdca2 · outbound

This paper cites Mathematical programming , volume=.

Robust General Utility for Reinforcement Learning Mathematical programming , volume=

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:55:08.960064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 8e7566b4-b970-465e-9163-b87d27afdbda · outbound

This paper cites Mathematical Programming , volume=.

Robust General Utility for Reinforcement Learning Mathematical Programming , volume=

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:55:08.944964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation cc07fb94-fec1-49e9-9bf1-b62b52d29b07 · outbound

This paper cites Convex analysis and monotone operator theory in Hilbert spaces , pages=.

Robust General Utility for Reinforcement Learning Convex analysis and monotone operator theory in Hilbert spaces , pages=

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-15T14:55:08.514467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

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Outbound references

Pith citing papers