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Paper Citation Record · LEDGER

Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity

As of 19 August 2026, this Paper Citation Record lists 99 of 99 outbound references and 0 inbound Pith citation observations for arXiv:2607.28849.

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

pith.paper-citation-record.v1
2607.28849 v1

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measured 99 of 99 reference resolution

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measured 99 of 99 standing notices

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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Source: cited_works

Reference resolution

99 of 99 outbound references displayed

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External citation measurements

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Outbound references

Observation c28f9b18-bbc3-4277-ad60-06600159a845 · outbound

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

Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity International conference on machine learning , pages=

Reference 1

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

Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity Advances in neural information processing systems , volume=

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

Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity International conference on machine learning , pages=

Reference 3

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This paper cites Transactions of the American Mathematical Society , volume=.

Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity Transactions of the American Mathematical Society , volume=

Reference 4

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

Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity Advances in neural information processing systems , volume=

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This paper cites ACM Computing Surveys , volume=.

Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity ACM Computing Surveys , volume=

Reference 6

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

Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity International conference on machine learning , pages=

Reference 7

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This paper cites Discrete event dynamic systems , volume=.

Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity Discrete event dynamic systems , volume=

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

Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity Proceedings of the AAAI Conference on Artificial Intelligence , author=

Reference 9

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This paper cites Proceedings of The 25th International Conference on Artificial Intelligence and Statistics , pages =.

Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity Proceedings of The 25th International Conference on Artificial Intelligence and Statistics , pages =

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Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity The Annals of Statistics , volume=

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Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity Unresolved cited work

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Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity Journal of Machine Learning Research , volume=

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Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity SIAM Journal on Optimization , volume=

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Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity The Thirty-ninth Annual Conference on Neural Information Processing Systems , year=

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Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity Advances in Neural Information Processing Systems , volume=

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Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity International Conference on Artificial Intelligence and Statistics , pages=

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Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity Unresolved cited work

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Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity Achieving

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Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity The Thirty Seventh Annual Conference on Learning Theory , pages=

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Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity International conference on machine learning , pages=

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Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity The Twelfth International Conference on Learning Representations , year=

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Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity International Conference on Artificial Intelligence and Statistics , pages=

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Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity Advances in Neural Information Processing Systems , volume=

Reference 24

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Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity Advances in Neural Information Processing Systems , volume=

Reference 26

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Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity Advances in neural information processing systems , volume=

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Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity Proceedings of the AAAI Conference on Artificial Intelligence , volume=

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Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity Advances in Neural Information Processing Systems , volume=

Reference 29

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Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity International Conference on Machine Learning , pages=

Reference 30

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Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity Advances in neural information processing systems , volume=

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Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity International conference on machine learning , pages=

Reference 32

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Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 33

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Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity International Conference on Machine Learning , pages=

Reference 34

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Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity A Primal-Dual Approach to Bilevel Optimization with Multiple Inner Minima

Reference 35

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Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity Advances in Neural Information Processing Systems , volume=

Reference 36

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Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity Constrained Bi-Level Optimization: Proximal Lagrangian Value function Approach and Hessian-free Algorithm

Reference 37

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Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity International Conference on Artificial Intelligence and Statistics , pages=

Reference 38

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Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity A Primal-Dual-Assisted Penalty Approach to Bilevel Optimization with Coupled Constraints

Reference 39

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Observation 60dbdb57-9856-44df-9558-af99d04b24e2 · outbound

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Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity Overcoming Lower-Level Constraints in Bilevel Optimization: A Novel Approach with Regularized Gap Functions

Reference 40

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Observation 741bff12-a885-441b-8db1-eba0c5ca921a · outbound

This paper cites ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , pages=.

Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , pages=

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source=arxiv_source observed=2026-08-03T01:38:11.159317Z digest=sha256:0a1a93f54385ca307bbb022737e95d886a6d195ebcd7aa7f4cce5b2ed6d3297a

Observation 6ffa621c-4e94-41b8-af86-ad0f694fe813 · outbound

This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence , volume=.

Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity IEEE Transactions on Pattern Analysis and Machine Intelligence , volume=

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source=arxiv_source observed=2026-08-03T01:38:11.345028Z digest=sha256:f8e9f07dc436391bbc4e2bea32d399689c20fe2e9ce4dbbe5df31c7e18f09474

Observation a71d71ed-70b8-40b0-af22-9e7bc2c2483d · outbound

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

Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity International Conference on Machine Learning , pages=

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source=arxiv_source observed=2026-08-03T01:38:11.479219Z digest=sha256:88f40010854024f73ab91e94cf04097d4661912d39f2939bb0bf46c6a69c36db

Observation b9047e26-5b17-49fa-9a3d-1778c3dcc3cf · outbound

This paper cites Moreau Envelope Based Difference-of-weakly-Convex Reformulation and Algorithm for Bilevel Programs.

Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity Moreau Envelope Based Difference-of-weakly-Convex Reformulation and Algorithm for Bilevel Programs

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source=arxiv_source observed=2026-08-03T01:38:11.581927Z digest=sha256:0f5472c55c813fb3b4ebef08ee392f1755cfe948f18fa7aae3f77edecab32984

Observation 2138561e-7247-4079-8953-06405e56133e · outbound

This paper cites The 41st Conference on Uncertainty in Artificial Intelligence , year=.

Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity The 41st Conference on Uncertainty in Artificial Intelligence , year=

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source=arxiv_source observed=2026-08-03T01:38:11.676775Z digest=sha256:1fdb98b155597e9f2a6347895e8f856e6500948c9b8b5885c3b047e77538ed78

Observation 5e40740b-555d-4e6e-b8ae-c03b42f3f7ac · outbound

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

Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity Advances in Neural Information Processing Systems , volume=

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source=arxiv_source observed=2026-08-03T01:38:11.849269Z digest=sha256:1193a4071b37c5f586638c413cc988a44b9a3f62b0f93e3da6a80af751eeedc9

Observation cb6f2930-7796-4432-9f07-b00068a59b26 · outbound

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

Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity Journal of Machine Learning Research , volume=

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source=arxiv_source observed=2026-08-03T01:38:11.967535Z digest=sha256:876aebfc828c7b2e9987c1b930b1e78c34cb0942dd793f4488dffda098cf22e0

Observation f7d9bbd5-10a9-4254-a140-b13d162286a9 · outbound

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

Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity Advances in Neural Information Processing Systems , volume=

Reference 48

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source=arxiv_source observed=2026-08-03T01:38:12.095784Z digest=sha256:af148e7a276f458ec2cb98f71c6b1a972f949274bbb49543280b3259253f45b0

Observation b09a1365-b114-40fc-8905-a5a353e7f649 · outbound

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

Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity Advances in Neural Information Processing Systems , volume=

Reference 49

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source=arxiv_source observed=2026-08-03T01:38:12.243346Z digest=sha256:72aa5121ace52056714f15c196b64f13e50aa25fc41725930b12e3efd1fb3733

Observation d582b873-ef11-469f-8dc3-f2dd9c01c648 · outbound

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

Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity Advances in Neural Information Processing Systems , volume=

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source=arxiv_source observed=2026-08-03T01:38:12.427776Z digest=sha256:c1f1758a154e53fe9adc79fc13268cb3a3d35567ee236268ff3ddd14def55023

Observation 5ed50b1d-b9f2-4c2a-972d-514f2aff04d5 · outbound

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

Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity Journal of Machine Learning Research , volume=

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source=arxiv_source observed=2026-08-03T01:38:12.545732Z digest=sha256:2eb5f722e448d5ce1780750173f99d79022d27ebb3bed9dc058fc447a93f3c9f

Observation fd4d0336-27a4-4edc-b12c-f63e3c48264d · outbound

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

Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity International conference on machine learning , pages=

Reference 52

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source=arxiv_source observed=2026-08-03T01:38:12.659802Z digest=sha256:efd57cff4c035a4997ea5c68b0f8f895f0b57accea784e7b764efa7f59ce483f

Observation 8d5d77f6-a0f8-4f30-ad90-c39de05054f8 · outbound

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

Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity International Conference on Learning Representations , year=

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source=arxiv_source observed=2026-08-03T01:38:12.710646Z digest=sha256:cbf4a778c9009399c5ca0b16ff06da6b28b97d6909ade21beacd9aa187fe952e

Observation 8c51a27f-23b9-4fbc-b077-3b787a275c63 · outbound

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

Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity International Conference on Learning Representations , year=

Reference 54

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source=arxiv_source observed=2026-08-03T01:38:12.786066Z digest=sha256:d65c137ad2f7c2024b6aa5960716d2395ca1ac0d923c0e583c2118b618a96283

Observation d544a1a1-2cef-4a0e-b75d-1e21dc148dfc · outbound

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

Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity International Conference on Machine Learning , pages=

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source=arxiv_source observed=2026-08-03T01:38:12.896743Z digest=sha256:6e1db88d720903c3b24f80c04a04fbcf99ae24a0cfafe4394b4914c327554f74

Observation 6867598f-3099-4a6e-9a93-67b5083f9df5 · outbound

This paper cites Proximit.

Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity Proximit

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source=arxiv_source observed=2026-08-03T01:38:13.028560Z digest=sha256:29aa41a623cde812e7b2d2dea70696004f63e5958c03856ae0f6a511d5fe49bd

Observation 712e6e42-a804-4177-9f35-d9962d08bfc1 · outbound

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

Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity Journal of Machine Learning Research , volume=

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source=arxiv_source observed=2026-08-03T01:38:13.271739Z digest=sha256:8a79789bedd57c94bed54c84c2ccc1921e4e5f40d96606f92f7acdf043349e11

Observation a5820e00-2ec8-47fc-8ca9-5bf222dea30a · outbound

This paper cites Stochastic subgradient method converges at the rate O (k^.

Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity Stochastic subgradient method converges at the rate O (k^

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source=arxiv_source observed=2026-08-03T01:38:13.426999Z digest=sha256:0ca0cfae4140156f3d94856950871ac8699f69afdc29f430f8bfb8fd37bd3da6

Observation 93ebc01c-ce6a-4537-873a-0739c978e5c2 · outbound

This paper cites 1998 , publisher=.

Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity 1998 , publisher=

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source=arxiv_source observed=2026-08-03T01:38:13.531338Z digest=sha256:d904ee06f5fd244f360ca3b298d214f16325331385eb3cb8833bc8edfc38b6d2

Observation 59bde824-0e8c-4cb7-8b12-86e7ecf6ad6a · outbound

This paper cites Linear convergence of gradient and proximal-gradient methods under the polyak-.

Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity Linear convergence of gradient and proximal-gradient methods under the polyak-

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source=arxiv_source observed=2026-08-03T01:38:13.605734Z digest=sha256:cb662625c125ed06c725fd09e4c08f4020bbb8612d052bd9bbf242fa93b0b828

Observation 9fb91b90-fe22-47e1-b85f-0a8e7d5b3086 · outbound

This paper cites Journal of optimization theory and applications , volume=.

Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity Journal of optimization theory and applications , volume=

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source=arxiv_source observed=2026-08-03T01:38:13.773082Z digest=sha256:18375ad560ddf336778aacc4c87a5b90048fe34268eefe80dd6a910ff57e98c4

Observation c056d98d-c618-4cc8-873a-a723fb634635 · outbound

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Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity Unresolved cited work

Reference 62

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source=arxiv_source observed=2026-08-03T01:38:13.853872Z digest=sha256:626017d47d3dbf1dc6f7fa29204d222e71fcf1abe8225b4fa96bc29eba89d444

Observation 58139e5a-04a2-48af-826c-9d09242ba63f · outbound

This paper cites the method of paired comparisons , author=.

Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity the method of paired comparisons , author=

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source=arxiv_source observed=2026-08-03T01:38:13.920858Z digest=sha256:f0a13bdae8cd1d4afc9e0b86920f1a8c148f4550f6a86a7b20f41815fd0fa274

Observation 46c1542f-40df-47f6-bb2a-115aa7383695 · outbound

This paper cites International conference on artificial intelligence and statistics , pages=.

Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity International conference on artificial intelligence and statistics , pages=

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source=arxiv_source observed=2026-08-03T01:38:14.008895Z digest=sha256:dbc1e260208288b3f3f7f4696bff622dadc6d6b606c877d5306babf7cc02e8a7

Observation 7a3a2cfb-c80f-481c-a4b0-8aa9e50de831 · outbound

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

Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity International Conference on Learning Representations , year=

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source=arxiv_source observed=2026-08-03T01:38:14.134298Z digest=sha256:94c6eb96683baac07a434f065869052ac4640d429ab851e11cb4696832c7ef77

Observation 054208e8-a618-4d8f-9e86-6974a13aeeb1 · outbound

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

Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity Advances in neural information processing systems , volume=

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source=arxiv_source observed=2026-08-03T01:38:14.542969Z digest=sha256:d9d308fdd22223233511d1bda67f002306efd28a41838ede29e1b6961c7f8d66

Observation 9b405480-a436-43e7-aeae-1aa8e4e9405e · outbound

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Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity Unresolved cited work

Reference 68

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source=arxiv_source observed=2026-08-03T01:38:14.625606Z digest=sha256:3918c9936e2502c3bd9728b5caf54407b24ef10ecb4f830a49657a0f5477fc5c

Observation 9569b531-52a1-415d-8947-edff58f71abe · outbound

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Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity Unresolved cited work

Reference 69

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source=arxiv_source observed=2026-08-03T01:38:14.679588Z digest=sha256:c869fe19852bf0a508b25d4183d5d6784d4dbac9b2bc4c91c49255a20f150aa4

Observation 280f8ce0-bc32-4436-b5eb-1a34e2b35c4b · outbound

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Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity Unresolved cited work

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source=arxiv_source observed=2026-08-03T01:38:14.776723Z digest=sha256:7123e7342cd9c4d505d1f43ce0cc3434501b6ea321e7f61152977c63ff13962f

Observation ad0deca7-af27-4be3-917e-68b43fb6a1f1 · outbound

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Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity Unresolved cited work

Reference 71

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source=arxiv_source observed=2026-08-03T01:38:14.867203Z digest=sha256:ca0f320af0dc510b9a1d4aad644cd6568154799ca6d02d0b723568d89499bac0

Observation 4854c676-f930-4be6-9102-640ecdc9a6b0 · outbound

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Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity Unresolved cited work

Reference 72

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source=arxiv_source observed=2026-08-03T01:38:14.952155Z digest=sha256:f4d15d81fbedc8aea350d147b5d187528a8ea18e23ced7b4f737d55bee563728

Observation c1491627-caf0-4f02-956a-8d8b9c2634ce · outbound

This paper cites and Zhao, L.

Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity and Zhao, L

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source=arxiv_source observed=2026-08-03T01:38:15.037266Z digest=sha256:11ef091107ea3d8d8168b7616c4c1fe56f1993f4994b3ae3b8a6a3533b4d741a

Observation bbd99c33-baaa-42d9-8b19-597a626c16ca · outbound

This paper cites F., Leike, J., Brown, T., Martic, M., Legg, S., and Amodei, D.

Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity F., Leike, J., Brown, T., Martic, M., Legg, S., and Amodei, D

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source=arxiv_source observed=2026-08-03T01:38:15.111843Z digest=sha256:99a22f8a4534c950d3353e5114fd6dac0c907a5a7a312f0c4126518398e6f05f

Observation 722ec001-36bb-4bb2-a63c-61d61ce91454 · outbound

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Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity Unresolved cited work

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source=arxiv_source observed=2026-08-03T01:38:15.171698Z digest=sha256:f5cb22d59c5f7fd599456070c47c72c3355d27e6be95050323f9b0309f34db39

Observation 228788f7-1672-48d9-9eaa-313353ff86bc · outbound

This paper cites U., and Aggarwal, V.

Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity U., and Aggarwal, V

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source=arxiv_source observed=2026-08-03T01:38:15.328055Z digest=sha256:cd2ae2ea75c482783355de8ef00c116bc89d4782cb621bc54730d0ff14ad07b5

Observation 92106f54-6fc8-488d-adc8-186dd6a38d5b · outbound

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Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity Unresolved cited work

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source=arxiv_source observed=2026-08-03T01:38:15.397070Z digest=sha256:ae443138a53b84c306a8631d4a6acfbf79fdb638c4606770d3853eae65f46245

Observation 4d235133-44a4-492a-8263-4e8054939c74 · outbound

This paper cites S., Pasupathy, R., and Aggarwal, V.

Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity S., Pasupathy, R., and Aggarwal, V

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source=arxiv_source observed=2026-08-03T01:38:15.461194Z digest=sha256:62d0e263ff44c9b9650486dd5314a9f2856b37821b4e8925ef5e8c51a8348c62

Observation f6359638-8bc2-4283-93ab-9d30d441396d · outbound

This paper cites Approximation Methods for Bilevel Programming.

Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity Approximation Methods for Bilevel Programming

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source=arxiv_source observed=2026-08-03T01:38:15.537353Z digest=sha256:6e8a7442b1512622c6692dff6398995e4b7de65ae2af66bed9f7c864b70b5f2e

Observation 1aeb9dc2-2752-44fd-94ad-272ed2980abe · outbound

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Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity Unresolved cited work

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source=arxiv_source observed=2026-08-03T01:38:15.614105Z digest=sha256:834635bb57e17a998b5810124c203434d3a876e794db574c49e747f6edcf726d

Observation a141b86a-829a-4fbf-a8ba-b8239a62a818 · outbound

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Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity Unresolved cited work

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source=arxiv_source observed=2026-08-03T01:38:15.713752Z digest=sha256:85b6b904bf20c8569e77fdf838f764e13627b80b23d419c4f38a69f2eb582e37

Observation f64caa87-99e4-4fb8-899a-07141cb840ae · outbound

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Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity Unresolved cited work

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Observation 78cce6ce-b1e3-4e0e-8b08-7c38d46759b3 · outbound

This paper cites an unresolved cited work.

Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity Unresolved cited work

Reference 83

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Observation 4c57dba8-c0ee-4e8c-b92a-8ab38eeda842 · outbound

This paper cites an unresolved cited work.

Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity Unresolved cited work

Reference 84

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Observation cce51860-4769-4bb1-925a-e5c072201367 · outbound

This paper cites an unresolved cited work.

Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity Unresolved cited work

Reference 85

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Observation ddcb0d4f-ec5a-451e-89d2-75d07b83707f · outbound

This paper cites an unresolved cited work.

Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity Unresolved cited work

Reference 86

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Observation 5ae78788-d5a7-4f2f-b1f5-1e31c6b27bc7 · outbound

This paper cites an unresolved cited work.

Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity Unresolved cited work

Reference 87

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Observation c69bfb1e-2001-483a-890d-2b3a2925b72a · outbound

This paper cites an unresolved cited work.

Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity Unresolved cited work

Reference 88

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Observation ec1e3bf9-ebb8-4f5e-b112-3a37a542c0fe · outbound

This paper cites an unresolved cited work.

Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity Unresolved cited work

Reference 89

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Observation 105e5df8-ca7e-43d5-b6c8-991002da3fc2 · outbound

This paper cites an unresolved cited work.

Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity Unresolved cited work

Reference 90

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Observation 13dac79f-7ed7-4e63-86a5-5b0bcd25bcbf · outbound

This paper cites an unresolved cited work.

Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity Unresolved cited work

Reference 91

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Observation 25989173-818e-49a8-b151-3a8ee13715d5 · outbound

This paper cites and Chen, T.

Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity and Chen, T

Reference 92

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Observation d14f801c-87b0-435e-ad01-83881b226b90 · outbound

This paper cites an unresolved cited work.

Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity Unresolved cited work

Reference 93

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Observation 573909b5-ea75-4f1b-a462-004c991d45c8 · outbound

This paper cites an unresolved cited work.

Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity Unresolved cited work

Reference 94

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Observation 12a2a072-c57a-4d5c-89eb-610f52327b6b · outbound

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Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity S., McAllester, D., Singh, S., and Mansour, Y

Reference 95

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Observation 12ad3002-aee7-4be9-b01b-cb9883898372 · outbound

This paper cites DeepMind Control Suite.

Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity DeepMind Control Suite

Reference 96

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Observation bd0e87f5-868a-45dc-b0c5-423d451e6a74 · outbound

This paper cites an unresolved cited work.

Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity Unresolved cited work

Reference 97

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source=arxiv_source observed=2026-08-03T01:38:17.044732Z digest=sha256:eb4e6140da33004253e08a5058feefbb2417b7156499488ecc3714b35e226c52

Observation 237b557c-785d-4530-ace0-62394a202820 · outbound

This paper cites an unresolved cited work.

Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity Unresolved cited work

Reference 98

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source=arxiv_source observed=2026-08-03T01:38:17.144361Z digest=sha256:64caeb2200067c749c59c8e000a9ceccc2fcf986f0db54fe90a59ea6c4e7d75f

Observation da5ec1d8-06ec-4223-af14-d739e5193a9d · outbound

This paper cites an unresolved cited work.

Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity Unresolved cited work

Reference 99

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source=arxiv_source observed=2026-08-03T01:38:17.240498Z digest=sha256:36b8f4d4f95191a0f904677ded349519f6fbeea26a533ab96c4f8efbcc6e3681

Observation b5b352b3-f7fe-42c9-8e96-81c73ade5f33 · outbound

This paper cites an unresolved cited work.

Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity Unresolved cited work

Reference 100

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Observation c3487aaa-dee0-4ff2-8b7f-4c7aaaabdf05 · outbound

This paper cites an unresolved cited work.

Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity Unresolved cited work

Reference 101

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Pith citing papers

No inbound Pith citation observations are available.