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Paper Citation Record · LEDGER

Adaptive Trust Region Policy Optimization: Global Convergence and Faster Rates for Regularized MDPs

As of 20 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:1909.02769.

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

pith.paper-citation-record.v1
1909.02769 v2

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:47:08.802211Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

24 of 24 outbound references displayed

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  • verified fuzzy10
  • unresolved14
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 27ae6628-b5af-497e-821a-4d18c8f20f7f · outbound

This paper cites an unresolved cited work.

Adaptive Trust Region Policy Optimization: Global Convergence and Faster Rates for Regularized MDPs Unresolved cited work

Reference 1

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raw_fallback, observed 2026-08-14T04:47:09.046718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation c1a6a39d-480f-4387-98c7-627952f0d949 · outbound

This paper cites an unresolved cited work.

Adaptive Trust Region Policy Optimization: Global Convergence and Faster Rates for Regularized MDPs Unresolved cited work

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 58988014-eee5-4149-ade9-6d1a1516382f · outbound

This paper cites The only difference is the approximation ter m which we bound in E.5.

Adaptive Trust Region Policy Optimization: Global Convergence and Faster Rates for Regularized MDPs The only difference is the approximation ter m which we bound in E.5

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation efe63d85-b522-4406-89aa-b57a39700d16 · outbound

This paper cites non- euclidean, unregularized vs.

Adaptive Trust Region Policy Optimization: Global Convergence and Faster Rates for Regularized MDPs non- euclidean, unregularized vs

Reference 4

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raw_fallback, observed 2026-08-14T04:47:08.962357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 66b59133-8b8c-4b5e-b803-0dbdf0920770 · outbound

This paper cites an unresolved cited work.

Adaptive Trust Region Policy Optimization: Global Convergence and Faster Rates for Regularized MDPs Unresolved cited work

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation cf7e8417-522e-4b0a-80d2-971ec7c92fd0 · outbound

This paper cites WhereCω,1 = √ A,Cω,3 = 1 for the euclidean case, and Cω,1 = 1,Cω,3 = logA for the non-euclidean case.

Adaptive Trust Region Policy Optimization: Global Convergence and Faster Rates for Regularized MDPs WhereCω,1 = √ A,Cω,3 = 1 for the euclidean case, and Cω,1 = 1,Cω,3 = logA for the non-euclidean case

Reference 7

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raw_fallback, observed 2026-08-14T04:47:09.019274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation f5f13223-a89d-4191-a53a-e76c138f82c6 · outbound

This paper cites an unresolved cited work.

Adaptive Trust Region Policy Optimization: Global Convergence and Faster Rates for Regularized MDPs Unresolved cited work

Reference 8

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T04:47:08.750296Z digest=sha256:282c62ade0406a459e4c77ac68f1cf63339acca89920b9be916a9e84232ff585

Observation c20aa758-a173-4606-9e3f-cbf8d46b7bfb · outbound

This paper cites WhereCω,1 = √ A,Cω,3 = 1 for the euclidean case, and Cω,1 = 1,Cω,3 = logA for the non-euclidean case.

Adaptive Trust Region Policy Optimization: Global Convergence and Faster Rates for Regularized MDPs WhereCω,1 = √ A,Cω,3 = 1 for the euclidean case, and Cω,1 = 1,Cω,3 = logA for the non-euclidean case

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T04:47:08.753588Z digest=sha256:9beab468785764b8c1f808f74236b2a0cf9bf0df5fd2714069aa550045ae8aef

Observation 93ae11a8-afaf-4ca8-b46b-b59d64516109 · outbound

This paper cites an unresolved cited work.

Adaptive Trust Region Policy Optimization: Global Convergence and Faster Rates for Regularized MDPs Unresolved cited work

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 55445983-088c-42e4-8b83-bd4efb7d2177 · outbound

This paper cites (a) In Lemma 20 we deal with the sampling error.

Adaptive Trust Region Policy Optimization: Global Convergence and Faster Rates for Regularized MDPs (a) In Lemma 20 we deal with the sampling error

Reference 11

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation bc1c9d44-33f3-4d05-ac71-25770abd81ac · outbound

This paper cites In the next lemma we combine the results of Lemmas 20 and 21 to b ound the overall approximation error due to both sampling and truncation.

Adaptive Trust Region Policy Optimization: Global Convergence and Faster Rates for Regularized MDPs In the next lemma we combine the results of Lemmas 20 and 21 to b ound the overall approximation error due to both sampling and truncation

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 2371636e-77e1-4d26-8d7d-b4a8e3a8b8c7 · outbound

This paper cites an unresolved cited work.

Adaptive Trust Region Policy Optimization: Global Convergence and Faster Rates for Regularized MDPs Unresolved cited work

Reference 15

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 7ca7e3c4-653a-4f59-95e5-16ee2c79b86a · outbound

This paper cites an unresolved cited work.

Adaptive Trust Region Policy Optimization: Global Convergence and Faster Rates for Regularized MDPs Unresolved cited work

Reference 16

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 62d802c8-6992-4a0e-a69e-e22e78dfc04a · outbound

This paper cites The statement holds by the properties of 1 2‖·‖2 2 and thus holds for both the uniform and exact versions.

Adaptive Trust Region Policy Optimization: Global Convergence and Faster Rates for Regularized MDPs The statement holds by the properties of 1 2‖·‖2 2 and thus holds for both the uniform and exact versions

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T04:47:08.780702Z digest=sha256:754f175689b64e7735d08de1c62c418915d5c84abd866a5cb1f44560d7f6b90c

Observation d2405a42-66bd-41a8-915e-09c220d835ba · outbound

This paper cites For the non-euclidean case,ω(·) = H(·) + logA.

Adaptive Trust Region Policy Optimization: Global Convergence and Faster Rates for Regularized MDPs For the non-euclidean case,ω(·) = H(·) + logA

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T04:47:08.784197Z digest=sha256:73f40c914ef2b274365093084e59c170674350a9c690d23a5d53bf20e3b04a68

Observation 7af65408-fd5b-41c9-81ff-c184dc7bcb28 · outbound

This paper cites (74) By the first order optimality condition, for any state s and policyπ, ⟨∇ω (s;πk+1)−∇ω (s;πk),πk+1(·| s)−π⟩≤ tk⟨ˆqπk λ (s,·) +λ∇ω (s;πk),π−πk+1(·| s)⟩.

Adaptive Trust Region Policy Optimization: Global Convergence and Faster Rates for Regularized MDPs (74) By the first order optimality condition, for any state s and policyπ, ⟨∇ω (s;πk+1)−∇ω (s;πk),πk+1(·| s)−π⟩≤ tk⟨ˆqπk λ (s,·) +λ∇ω (s;πk),π−πk+1(·| s)⟩

Reference 19

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Observation 9fcd234b-5d1a-41c7-8ca8-0320372afaca · outbound

This paper cites an unresolved cited work.

Adaptive Trust Region Policy Optimization: Global Convergence and Faster Rates for Regularized MDPs Unresolved cited work

Reference 20

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Observation 2e951eae-63c9-452b-88ed-3cce9ab743b6 · outbound

This paper cites an unresolved cited work.

Adaptive Trust Region Policy Optimization: Global Convergence and Faster Rates for Regularized MDPs Unresolved cited work

Reference 21

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Observation 53fd9995-616f-4611-974f-e82590d9addd · outbound

This paper cites an unresolved cited work.

Adaptive Trust Region Policy Optimization: Global Convergence and Faster Rates for Regularized MDPs Unresolved cited work

Reference 22

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation f4280a46-45a2-414a-a43e-a4c2de889c7b · outbound

This paper cites an unresolved cited work.

Adaptive Trust Region Policy Optimization: Global Convergence and Faster Rates for Regularized MDPs Unresolved cited work

Reference 23

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation d5a6da65-0c71-48dc-a40c-69e899bcc0af · outbound

This paper cites an unresolved cited work.

Adaptive Trust Region Policy Optimization: Global Convergence and Faster Rates for Regularized MDPs Unresolved cited work

Reference 24

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T04:47:08.802211Z digest=sha256:5f32f1a496a61f91b2bc9b4bb1b252ff5da4df2c5d3d846619eb81e5dec878e5

Observation ece489f0-733e-4085-8d4b-11e9f78920b1 · outbound

This paper cites Neural Proximal/Trust Region Policy Optimization Attains Globally Optimal Policy.

Adaptive Trust Region Policy Optimization: Global Convergence and Faster Rates for Regularized MDPs Neural Proximal/Trust Region Policy Optimization Attains Globally Optimal Policy

Reference 2002

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:47:08.728735Z digest=sha256:e4346811499ce37f2ec77f8e8d0f21697c5cf1ef3dac883da220ab164aac7a77

Observation 806d2a1e-f687-4559-a210-8c6646ad89f1 · outbound

This paper cites MIT press.

Adaptive Trust Region Policy Optimization: Global Convergence and Faster Rates for Regularized MDPs MIT press

Reference 2018

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 51e97a6a-4784-4ae1-a00a-61754fd6ac25 · outbound

This paper cites Global Optimality Guarantees For Policy Gradient Methods.

Adaptive Trust Region Policy Optimization: Global Convergence and Faster Rates for Regularized MDPs Global Optimality Guarantees For Policy Gradient Methods

Reference 2019

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no resolver link, observed 2026-08-14T04:47:08.724414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

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