Paper Citation Record · LEDGER

Deep Reinforcement Learning with Double Q-learning

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 26 inbound Pith citation observations for arXiv:1509.06461.

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

pith.paper-citation-record.v1
1509.06461 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 26 of 26 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:49:09.317937Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T19:07:35.304667Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 699c2e2a-83f5-4b31-a6a2-43fefa0e2e78 · inbound

A review on Deep Reinforcement Learning for Fluid Mechanics cites this paper.

A review on Deep Reinforcement Learning for Fluid Mechanics Deep Reinforcement Learning with Double Q-learning

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-14T13:55:04.946016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70a53df3-c5cd-4e5c-b051-a6ab4c4ea169 · inbound

Exploration-Enhanced POLITEX cites this paper.

Exploration-Enhanced POLITEX Deep Reinforcement Learning with Double Q-learning

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-14T10:49:33.161700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6cf13da5-089f-4b4f-a42c-2423ef9bb574 · inbound

Mastering Atari with Discrete World Models cites this paper.

Mastering Atari with Discrete World Models Deep Reinforcement Learning with Double Q-learning

Reference 47

Resolution: verified exact; local_arxiv, observed 2026-05-15T01:27:32.021012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 72596529-6124-4876-90b3-e41b0b70191b · inbound

CRASH: Challenging Reinforcement-Learning Based Adversarial Scenarios For Safety Hardening cites this paper.

CRASH: Challenging Reinforcement-Learning Based Adversarial Scenarios For Safety Hardening Deep Reinforcement Learning with Double Q-learning

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-12T12:41:52.947013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ef10003-fa9d-4107-b092-e9c6ead3a87d · inbound

Machine Learning for Spectrum Sharing: A Survey cites this paper.

Machine Learning for Spectrum Sharing: A Survey Deep Reinforcement Learning with Double Q-learning

Reference 128

Resolution: unresolved; no resolver link, observed 2026-08-12T10:39:20.616826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b3efcdd-989a-4069-8ac3-5de23ac0591e · inbound

xSRL: Safety-Aware Explainable Reinforcement Learning -- Safety as a Product of Explainability cites this paper.

xSRL: Safety-Aware Explainable Reinforcement Learning -- Safety as a Product of Explainability Deep Reinforcement Learning with Double Q-learning

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-11T00:48:00.572912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e46bb5a9-3b6b-426a-acad-85738bec0073 · inbound

NS-Gym: Open-Source Simulation Environments and Benchmarks for Non-Stationary Markov Decision Processes cites this paper.

NS-Gym: Open-Source Simulation Environments and Benchmarks for Non-Stationary Markov Decision Processes Deep Reinforcement Learning with Double Q-learning

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T19:52:42.057261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e73ec29c-0d24-4e16-b22b-f1df7e4fc7a0 · inbound

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures cites this paper.

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures Deep Reinforcement Learning with Double Q-learning

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-08T14:15:43.327071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0269a0a8-39b7-4cc9-b2a9-e5b814bd3c66 · inbound

Cracking the Code of Action: a Generative Approach to Affordances for Reinforcement Learning cites this paper.

Cracking the Code of Action: a Generative Approach to Affordances for Reinforcement Learning Deep Reinforcement Learning with Double Q-learning

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-16T10:49:09.317937Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a59c1136-1d1b-4ce4-8d72-2b6a99b53dbd · inbound

Improving the Data-efficiency of Reinforcement Learning by Warm-starting with LLM cites this paper.

Improving the Data-efficiency of Reinforcement Learning by Warm-starting with LLM Deep Reinforcement Learning with Double Q-learning

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-15T21:05:21.437109Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 164746cd-c772-4674-847e-d9d152fddccd · inbound

HAVA: Hybrid Approach to Value-Alignment through Reward Weighing for Reinforcement Learning cites this paper.

HAVA: Hybrid Approach to Value-Alignment through Reward Weighing for Reinforcement Learning Deep Reinforcement Learning with Double Q-learning

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T15:29:46.611548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ffac25b9-0cda-4e53-a43f-a3420e86389e · inbound

Inverse design of the transmission matrix in a random system using Reinforcement Learning cites this paper.

Inverse design of the transmission matrix in a random system using Reinforcement Learning Deep Reinforcement Learning with Double Q-learning

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T00:43:40.264379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fcf4708f-c7dd-42cc-9c50-92c62f4b8c95 · inbound

ADDQ: Adaptive Distributional Double Q-Learning cites this paper.

ADDQ: Adaptive Distributional Double Q-Learning Deep Reinforcement Learning with Double Q-learning

Reference 2010

Resolution: unresolved; no resolver link, observed 2026-08-06T23:14:02.096212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26d0f6c0-c6e6-46bb-b059-8b1e0516bb2b · inbound

Zero-Incentive Dynamics: a look at reward sparsity through the lens of unrewarded subgoals cites this paper.

Zero-Incentive Dynamics: a look at reward sparsity through the lens of unrewarded subgoals Deep Reinforcement Learning with Double Q-learning

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T20:59:15.925516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf7f5e39-0013-46cb-9550-a3bcbe6650ab · inbound

Safe Deployment of Offline Reinforcement Learning via Input Convex Action Correction cites this paper.

Safe Deployment of Offline Reinforcement Learning via Input Convex Action Correction Deep Reinforcement Learning with Double Q-learning

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T11:34:22.841058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6aa42f11-b567-4ec4-988d-c9e61f912d7b · inbound

Adversarial Agent Behavior Learning in Autonomous Driving Using Deep Reinforcement Learning cites this paper.

Adversarial Agent Behavior Learning in Autonomous Driving Using Deep Reinforcement Learning Deep Reinforcement Learning with Double Q-learning

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-05T18:06:21.530402Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d15de7d6-296b-4e10-ba06-ebe256046c7b · inbound

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety cites this paper.

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Deep Reinforcement Learning with Double Q-learning

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-05T13:30:05.776137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06503afe-1f4e-41ff-844e-187448b7d4a0 · inbound

PRECISE-AS: Personalized Reinforcement Learning for Efficient Point-of-Care Echocardiography in Aortic Stenosis Diagnosis cites this paper.

PRECISE-AS: Personalized Reinforcement Learning for Efficient Point-of-Care Echocardiography in Aortic Stenosis Diagnosis Deep Reinforcement Learning with Double Q-learning

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-05T11:21:36.691238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25b4b8a6-4d4a-4b82-b10f-adb1da5db636 · inbound

An Arbitration Control for an Ensemble of Diversified DQN variants in Continual Reinforcement Learning cites this paper.

An Arbitration Control for an Ensemble of Diversified DQN variants in Continual Reinforcement Learning Deep Reinforcement Learning with Double Q-learning

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T16:32:12.716344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 200fd7e1-0ec5-4cf4-98ce-5aaa7990c6d4 · inbound

Greener Deep Reinforcement Learning: Analysis of Energy and Carbon Efficiency Across Atari Benchmarks cites this paper.

Greener Deep Reinforcement Learning: Analysis of Energy and Carbon Efficiency Across Atari Benchmarks Deep Reinforcement Learning with Double Q-learning

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-15T16:30:01.030143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb434a0f-00bc-4684-9ecd-77b5dbbe2783 · inbound

Value Flows cites this paper.

Value Flows Deep Reinforcement Learning with Double Q-learning

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-04T11:01:34.239201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2bebcd3-d2a3-4617-a231-359b67c074e3 · inbound

Neural Assistive Impulses: Synthesizing Exaggerated Motions for Physics-based Characters cites this paper.

Neural Assistive Impulses: Synthesizing Exaggerated Motions for Physics-based Characters Deep Reinforcement Learning with Double Q-learning

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-10T23:00:48.456371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 812493da-49a0-49fb-a5e4-6b94a150330d · inbound

Integrating Causal DAGs in Deep RL: Activating Minimal Markovian States with Multi-Order Exposure cites this paper.

Integrating Causal DAGs in Deep RL: Activating Minimal Markovian States with Multi-Order Exposure Deep Reinforcement Learning with Double Q-learning

Reference 61

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:15:56.164472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 57a4dd36-51d4-47f6-bbe1-b5a210a99bd2 · inbound

From Bootstrapping to Sequence Modeling: A Unified Generative Framework for Personalized Landing-Page Modeling cites this paper.

From Bootstrapping to Sequence Modeling: A Unified Generative Framework for Personalized Landing-Page Modeling Deep Reinforcement Learning with Double Q-learning

Reference 42

Resolution: verified exact; local_arxiv, observed 2026-07-01T17:55:51.421901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f2c949c0-8c86-4fa1-850d-ac055bc972b8 · inbound

Scalable and Trustworthy Earth Observation Foundation Models cites this paper.

Scalable and Trustworthy Earth Observation Foundation Models Deep Reinforcement Learning with Double Q-learning

Reference 45

Resolution: verified exact; local_arxiv, observed 2026-07-10T19:07:35.305775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5a51bc98-d53f-465d-944e-23ea544ffcaa · inbound

Learning Optimal Dynamic Matching via Graph Neural Networks cites this paper.

Learning Optimal Dynamic Matching via Graph Neural Networks Deep Reinforcement Learning with Double Q-learning

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-03T17:11:12.021935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.