Paper Citation Record · LEDGER

Linear $Q$-Learning Does Not Diverge in $L^2$: Convergence Rates to a Bounded Set

As of 15 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 3 inbound Pith citation observations for arXiv:2501.19254.

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

pith.paper-citation-record.v1
2501.19254 v4

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T20:58:30.177720Z

measured 54 of 54 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-20T22:34:05.838427Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T22:34:09.275036Z

Reference resolution

51 of 51 outbound references displayed

verified exact0
verified fuzzy37
unresolved14
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 36993655-962a-4d50-9df2-2f42138b16d9 · outbound

This paper cites write newline.

Linear $Q$-Learning Does Not Diverge in $L^2$: Convergence Rates to a Bounded Set write newline

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca0f78ec-4fd1-4ba3-829f-25503527166e · outbound

This paper cites an unresolved cited work.

Linear $Q$-Learning Does Not Diverge in $L^2$: Convergence Rates to a Bounded Set Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-09T20:58:32.332945Z

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Observation 0cf194cd-20f1-4293-8500-e43a9462d597 · outbound

This paper cites First-order methods in optimization.

Linear $Q$-Learning Does Not Diverge in $L^2$: Convergence Rates to a Bounded Set First-order methods in optimization

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-09T20:58:29.530301Z

Source-reported events for the cited work

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Observation 21f23488-367d-429e-9ee2-49433e08f2d6 · outbound

This paper cites A Markovian decision process.

Linear $Q$-Learning Does Not Diverge in $L^2$: Convergence Rates to a Bounded Set A Markovian decision process

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:58:32.302788Z

Source-reported events for the cited work

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Observation 74714a0b-bcff-446d-b52c-f2664339746b · outbound

This paper cites Adaptive Algorithms and Stochastic Approximations.

Linear $Q$-Learning Does Not Diverge in $L^2$: Convergence Rates to a Bounded Set Adaptive Algorithms and Stochastic Approximations

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:58:32.282169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 22e9fad4-e53d-4e1d-b15b-d1738b0bf16d · outbound

This paper cites Stochastic approximation: a dynamical systems viewpoint.

Linear $Q$-Learning Does Not Diverge in $L^2$: Convergence Rates to a Bounded Set Stochastic approximation: a dynamical systems viewpoint

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:58:32.261902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation be507291-899f-4fe1-b39d-81fa98b0a64e · outbound

This paper cites The ODE method for asymptotic statistics in stochastic approximation and reinforcement learning.

Linear $Q$-Learning Does Not Diverge in $L^2$: Convergence Rates to a Bounded Set The ODE method for asymptotic statistics in stochastic approximation and reinforcement learning

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:58:32.243181Z

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Observation f523b574-2638-46fe-823f-fb200063030b · outbound

This paper cites D., and Wang, Z.

Linear $Q$-Learning Does Not Diverge in $L^2$: Convergence Rates to a Bounded Set D., and Wang, Z

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:58:32.225964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8e655a9c-0dd4-4419-8e84-2830d3ec41d4 · outbound

This paper cites S., and Santos, P.

Linear $Q$-Learning Does Not Diverge in $L^2$: Convergence Rates to a Bounded Set S., and Santos, P

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:58:32.191334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e4df219c-019c-4c79-a391-498b63dda8e8 · outbound

This paper cites and Zhao, L.

Linear $Q$-Learning Does Not Diverge in $L^2$: Convergence Rates to a Bounded Set and Zhao, L

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:58:32.099214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b3f740b2-af26-4a5d-95e9-fae02cfed326 · outbound

This paper cites T., Shakkottai, S., and Shanmugam, K.

Linear $Q$-Learning Does Not Diverge in $L^2$: Convergence Rates to a Bounded Set T., Shakkottai, S., and Shanmugam, K

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:58:31.964475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 94dade05-3c28-47fe-912b-ebcba9b1d1dd · outbound

This paper cites T., Maguluri, S.

Linear $Q$-Learning Does Not Diverge in $L^2$: Convergence Rates to a Bounded Set T., Maguluri, S

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:58:31.828721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 147eeda4-a667-4d21-b5d8-2e685798b24b · outbound

This paper cites P., and Maguluri, S.

Linear $Q$-Learning Does Not Diverge in $L^2$: Convergence Rates to a Bounded Set P., and Maguluri, S

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:58:31.806526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e3597ec1-2087-432a-ba1d-6caf3d63e160 · outbound

This paper cites T., and Zubeldia, M.

Linear $Q$-Learning Does Not Diverge in $L^2$: Convergence Rates to a Bounded Set T., and Zubeldia, M

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:58:31.783135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 097a0c5c-d6c2-496a-b271-0a673294059e · outbound

This paper cites an unresolved cited work.

Linear $Q$-Learning Does Not Diverge in $L^2$: Convergence Rates to a Bounded Set Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-09T20:58:31.757980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e49b25aa-5768-4420-8d29-fe28c3fa3505 · outbound

This paper cites Learning rates for Q-learning.

Linear $Q$-Learning Does Not Diverge in $L^2$: Convergence Rates to a Bounded Set Learning rates for Q-learning

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:58:31.737817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 50e030d0-6e9a-437f-999a-63e28936ddd0 · outbound

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

Linear $Q$-Learning Does Not Diverge in $L^2$: Convergence Rates to a Bounded Set A theoretical analysis of deep Q-Learning

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:58:31.717377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 30024e98-be1f-4070-b1a6-65b4403d43f6 · outbound

This paper cites and Thoppe, G.

Linear $Q$-Learning Does Not Diverge in $L^2$: Convergence Rates to a Bounded Set and Thoppe, G

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:58:31.699415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation cf449a89-630a-4e74-89f9-e759d6ed5071 · outbound

This paper cites Boundedness of iterates in Q-learning.

Linear $Q$-Learning Does Not Diverge in $L^2$: Convergence Rates to a Bounded Set Boundedness of iterates in Q-learning

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:58:31.679866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ab2de571-7c9a-41f0-8742-7e7a1f2c8191 · outbound

This paper cites and Donghwan, L.

Linear $Q$-Learning Does Not Diverge in $L^2$: Convergence Rates to a Bounded Set and Donghwan, L

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:58:31.659209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2abc488c-6815-4fd9-acd7-2fc770dcfc56 · outbound

This paper cites Convergence of stochastic iterative dynamic programming algorithms.

Linear $Q$-Learning Does Not Diverge in $L^2$: Convergence Rates to a Bounded Set Convergence of stochastic iterative dynamic programming algorithms

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:58:31.641631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation af605be1-789c-4f4c-bcb7-40ab2e86f5a4 · outbound

This paper cites Exponential hardness of reinforcement learning with linear function approximation.

Linear $Q$-Learning Does Not Diverge in $L^2$: Convergence Rates to a Bounded Set Exponential hardness of reinforcement learning with linear function approximation

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:58:31.622732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ac00abf5-f772-4bcd-bbd4-8dacaeef6af5 · outbound

This paper cites an unresolved cited work.

Linear $Q$-Learning Does Not Diverge in $L^2$: Convergence Rates to a Bounded Set Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-09T20:58:31.542458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6af5b5c5-1147-434d-96e9-48c17f3b1a0d · outbound

This paper cites an unresolved cited work.

Linear $Q$-Learning Does Not Diverge in $L^2$: Convergence Rates to a Bounded Set Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-09T20:58:31.436348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 61401d30-56de-455b-8acb-013d1d23378c · outbound

This paper cites and Yin, G.

Linear $Q$-Learning Does Not Diverge in $L^2$: Convergence Rates to a Bounded Set and Yin, G

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:58:31.275608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 86a32984-15b8-4566-b662-518aa055615a · outbound

This paper cites and He, N.

Linear $Q$-Learning Does Not Diverge in $L^2$: Convergence Rates to a Bounded Set and He, N

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:58:31.239096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 735f8e06-d9d0-4a82-b6ca-5b5f14708115 · outbound

This paper cites Is Q-learning minimax optimal? a tight sample complexity analysis.

Linear $Q$-Learning Does Not Diverge in $L^2$: Convergence Rates to a Bounded Set Is Q-learning minimax optimal? a tight sample complexity analysis

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:58:31.217145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 586ba490-444e-4b60-9e33-2ac17e9460ac · outbound

This paper cites an unresolved cited work.

Linear $Q$-Learning Does Not Diverge in $L^2$: Convergence Rates to a Bounded Set Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-08-09T20:58:31.197787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3d0236e0-685c-43c6-80c3-a0d3a2f45425 · outbound

This paper cites an unresolved cited work.

Linear $Q$-Learning Does Not Diverge in $L^2$: Convergence Rates to a Bounded Set Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-08-09T20:58:31.170326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 91d28fff-0ec5-4729-87ef-b5883f8c0ce9 · outbound

This paper cites The ODE method for stochastic approximation and reinforcement learning with markovian noise.

Linear $Q$-Learning Does Not Diverge in $L^2$: Convergence Rates to a Bounded Set The ODE method for stochastic approximation and reinforcement learning with markovian noise

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:58:31.145455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d353bbdf-7db6-42d9-8054-da0396cfdaec · outbound

This paper cites and Tsitsiklis, J.

Linear $Q$-Learning Does Not Diverge in $L^2$: Convergence Rates to a Bounded Set and Tsitsiklis, J

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:58:31.124280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 25d3d80d-462a-4c8b-bf90-2d5b3f0ff733 · outbound

This paper cites S., Meyn, S.

Linear $Q$-Learning Does Not Diverge in $L^2$: Convergence Rates to a Bounded Set S., Meyn, S

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:58:31.098987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2abb70ce-03c6-4999-ae83-c49b3790b1c1 · outbound

This paper cites The projected bellman equation in reinforcement learning.

Linear $Q$-Learning Does Not Diverge in $L^2$: Convergence Rates to a Bounded Set The projected bellman equation in reinforcement learning

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:58:31.076321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 93ecb8cc-cd3f-466f-ba2b-79f345a76951 · outbound

This paper cites A., Veness, J., Bellemare, M.

Linear $Q$-Learning Does Not Diverge in $L^2$: Convergence Rates to a Bounded Set A., Veness, J., Bellemare, M

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-09T20:58:29.797237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3135a3b8-9ff9-43c0-881c-a461fe61bd84 · outbound

This paper cites and Gharesifard, B.

Linear $Q$-Learning Does Not Diverge in $L^2$: Convergence Rates to a Bounded Set and Gharesifard, B

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:58:30.914278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 10df2676-522a-4a07-a883-b352416d928a · outbound

This paper cites Almost sure convergence rates and concentration of stochastic approximation and reinforcement learning with markovian noise.

Linear $Q$-Learning Does Not Diverge in $L^2$: Convergence Rates to a Bounded Set Almost sure convergence rates and concentration of stochastic approximation and reinforcement learning with markovian noise

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:58:30.797136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 91a537ef-454f-41f3-957b-7f6f17892b11 · outbound

This paper cites an unresolved cited work.

Linear $Q$-Learning Does Not Diverge in $L^2$: Convergence Rates to a Bounded Set Unresolved cited work

Reference 37

Resolution: unresolved; raw_fallback, observed 2026-08-09T20:58:30.694645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 48b790ea-a766-46f5-a630-5c0803fe35b9 · outbound

This paper cites an unresolved cited work.

Linear $Q$-Learning Does Not Diverge in $L^2$: Convergence Rates to a Bounded Set Unresolved cited work

Reference 38

Resolution: unresolved; raw_fallback, observed 2026-08-09T20:58:30.659539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b7f7c519-4037-4712-91a1-5ea044dc45e4 · outbound

This paper cites The asymptotic convergence-rate of Q-learning.

Linear $Q$-Learning Does Not Diverge in $L^2$: Convergence Rates to a Bounded Set The asymptotic convergence-rate of Q-learning

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:58:30.642271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a44c37db-d70e-4e71-8cc1-574dd8c7b253 · outbound

This paper cites an unresolved cited work.

Linear $Q$-Learning Does Not Diverge in $L^2$: Convergence Rates to a Bounded Set Unresolved cited work

Reference 40

Resolution: unresolved; raw_fallback, observed 2026-08-09T20:58:30.624256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation db4ebd1a-0cb3-4be6-9bd7-ae655731f9a9 · outbound

This paper cites an unresolved cited work.

Linear $Q$-Learning Does Not Diverge in $L^2$: Convergence Rates to a Bounded Set Unresolved cited work

Reference 41

Resolution: unresolved; raw_fallback, observed 2026-08-09T20:58:30.606665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f2c0bf0b-ba49-463e-b799-fb40a67a6088 · outbound

This paper cites an unresolved cited work.

Linear $Q$-Learning Does Not Diverge in $L^2$: Convergence Rates to a Bounded Set Unresolved cited work

Reference 42

Resolution: unresolved; raw_fallback, observed 2026-08-09T20:58:30.588206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 25726b4e-0b1b-4379-8dab-857216be19cd · outbound

This paper cites A finite-time analysis of two time-scale actor-critic methods.

Linear $Q$-Learning Does Not Diverge in $L^2$: Convergence Rates to a Bounded Set A finite-time analysis of two time-scale actor-critic methods

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:58:30.568048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 97c06f47-f27e-4604-af1e-454b8882815f · outbound

This paper cites and Gu, Q.

Linear $Q$-Learning Does Not Diverge in $L^2$: Convergence Rates to a Bounded Set and Gu, Q

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:58:30.549325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a6697c8a-c688-44d6-86b2-06108e35c5ec · outbound

This paper cites Provably convergent two-timescale off-policy actor-critic with function approximation.

Linear $Q$-Learning Does Not Diverge in $L^2$: Convergence Rates to a Bounded Set Provably convergent two-timescale off-policy actor-critic with function approximation

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:58:30.532477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a3138edf-0121-4d6d-b436-10662e8720bf · outbound

This paper cites Breaking the deadly triad with a target network.

Linear $Q$-Learning Does Not Diverge in $L^2$: Convergence Rates to a Bounded Set Breaking the deadly triad with a target network

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:58:30.476178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c163ce65-0e5d-47f4-8744-bba20c400e72 · outbound

This paper cites Global optimality and finite sample analysis of softmax off-policy actor critic under state distribution mismatch.

Linear $Q$-Learning Does Not Diverge in $L^2$: Convergence Rates to a Bounded Set Global optimality and finite sample analysis of softmax off-policy actor critic under state distribution mismatch

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:58:30.343119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ebf40e84-ab56-4b01-9aad-90382fe31612 · outbound

This paper cites T., and Laroche, R.

Linear $Q$-Learning Does Not Diverge in $L^2$: Convergence Rates to a Bounded Set T., and Laroche, R

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:58:30.315884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 843744d8-6dd9-4332-8b3d-d730a85110ab · outbound

This paper cites On the convergence and sample complexity analysis of deep q-networks with -greedy exploration.

Linear $Q$-Learning Does Not Diverge in $L^2$: Convergence Rates to a Bounded Set On the convergence and sample complexity analysis of deep q-networks with -greedy exploration

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:58:30.292104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5cd36632-0109-4d69-a2ed-d0fda9ef87fe · outbound

This paper cites and Xie, Q.

Linear $Q$-Learning Does Not Diverge in $L^2$: Convergence Rates to a Bounded Set and Xie, Q

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:58:30.269383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 44efca40-5a04-470f-8d0e-0b08cb185131 · outbound

This paper cites Finite-sample analysis for SARSA with linear function approximation.

Linear $Q$-Learning Does Not Diverge in $L^2$: Convergence Rates to a Bounded Set Finite-sample analysis for SARSA with linear function approximation

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:58:30.241760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Pith citing papers

Observation b42121ae-070b-4859-85e6-37be898e1cdc · inbound

A Minimal-Assumption Analysis of Q-Learning with Time-Varying Policies cites this paper.

A Minimal-Assumption Analysis of Q-Learning with Time-Varying Policies Linear $Q$-Learning Does Not Diverge in $L^2$: Convergence Rates to a Bounded Set

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-18T05:50:57.163269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 94bc028b-1789-43f7-b855-2690b0f69a4c · inbound

A Switching System Theory of Q-Learning with Linear Function Approximation cites this paper.

A Switching System Theory of Q-Learning with Linear Function Approximation Linear $Q$-Learning Does Not Diverge in $L^2$: Convergence Rates to a Bounded Set

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-13T06:17:22.850655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 827a4c9f-7183-4d24-a336-a71cb2bad00d · inbound

A Switching System Theory of Q-Learning with Linear Function Approximation cites this paper.

A Switching System Theory of Q-Learning with Linear Function Approximation Linear $Q$-Learning Does Not Diverge in $L^2$: Convergence Rates to a Bounded Set

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-20T22:34:09.281243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.