Pith. sign in

Paper Citation Record · LEDGER

Structured Reinforcement Learning for Bayesian Persuasion : Application to Intelligent Interactive Driving

As of 8 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:2607.13576.

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

pith.paper-citation-record.v1
2607.13576 v1

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T04:51:46.206500Z

measured 52 of 52 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

52 of 52 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved52
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d66be76a-02db-4fe2-97f2-b5205bb45048 · outbound

This paper cites Co- operative platoon forming strategy for connected autonomous vehicles in mixed traffic flow.Physica A: Statistical Mechanics and its Applications, 623:128828, 2023.

Structured Reinforcement Learning for Bayesian Persuasion : Application to Intelligent Interactive Driving Co- operative platoon forming strategy for connected autonomous vehicles in mixed traffic flow.Physica A: Statistical Mechanics and its Applications, 623:128828, 2023

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-02T04:51:40.284062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T04:51:40.284062Z digest=sha256:ac13385ff340af1c5575d21ab227de681a843555cbf9ea9c0689587efe1de68e

Observation aca016b4-9646-406d-a3ac-80e0627b9cf6 · outbound

This paper cites Bayesian persuasion in sequential decision-making.

Structured Reinforcement Learning for Bayesian Persuasion : Application to Intelligent Interactive Driving Bayesian persuasion in sequential decision-making

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-02T04:51:40.444752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T04:51:40.444752Z digest=sha256:cc2fed7029c19a443fc1afc35556c5fee0f3e38606091902bde59ef5c4af75a8

Observation e113e246-4f21-4d0a-832c-6ea8bc9b98bd · outbound

This paper cites Bayesian exploration: Incentivizing exploration in Bayesian games.Operations Research, 70(2):1105–1127, 2022.

Structured Reinforcement Learning for Bayesian Persuasion : Application to Intelligent Interactive Driving Bayesian exploration: Incentivizing exploration in Bayesian games.Operations Research, 70(2):1105–1127, 2022

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-02T04:51:40.604751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T04:51:40.604751Z digest=sha256:2a7b64ce023008007a3f9997aa7a008fa1955e48b96232dc1f0b95e94b05ed98

Observation af40f6ee-4174-488e-9d48-983dc0312fbe · outbound

This paper cites Grading standards and education quality.American Economic Journal: Microeconomics, 7(2):248–279, 2015.

Structured Reinforcement Learning for Bayesian Persuasion : Application to Intelligent Interactive Driving Grading standards and education quality.American Economic Journal: Microeconomics, 7(2):248–279, 2015

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-02T04:51:40.715393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T04:51:40.715393Z digest=sha256:9244b601a08a4d5fd0a45c37689bb3ae6169953d203a098382290bc5f6409e45

Observation 0f6a9423-32b6-4d59-956a-4d648c9fece3 · outbound

This paper cites Optimal signaling mecha- nisms in unobservable queues.Operations research, 67(5):1397–1416, 2019.

Structured Reinforcement Learning for Bayesian Persuasion : Application to Intelligent Interactive Driving Optimal signaling mecha- nisms in unobservable queues.Operations research, 67(5):1397–1416, 2019

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-02T04:51:40.864752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T04:51:40.864752Z digest=sha256:7922dab300f7f4a73aebe678d4e4ef5486e7c223467b14bcba414a18cde0fed7

Observation 44b88cc1-7d4c-4802-a643-75cb4222af73 · outbound

This paper cites When the line says more: Optimal signaling in queues with congestion-driven expectations.International Applied Mathematics, Modelling and Simulation Conference, 2025.

Structured Reinforcement Learning for Bayesian Persuasion : Application to Intelligent Interactive Driving When the line says more: Optimal signaling in queues with congestion-driven expectations.International Applied Mathematics, Modelling and Simulation Conference, 2025

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-02T04:51:41.010271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T04:51:41.010271Z digest=sha256:6123f08596e80f690205fffeb3e3d3e7320afd341af5df88b062ffbe33ffe170

Observation f25cda24-24bc-487b-b653-c31dbf87f574 · outbound

This paper cites Monotonic agent policies in dynamic bayesian persuasion: Application to intelligent traffic routing.TechRxiv, 2024.

Structured Reinforcement Learning for Bayesian Persuasion : Application to Intelligent Interactive Driving Monotonic agent policies in dynamic bayesian persuasion: Application to intelligent traffic routing.TechRxiv, 2024

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-02T04:51:41.131135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T04:51:41.131135Z digest=sha256:7068061fbde264e9d0f4b1360abb425e41757db6965e642afe13a70cdc8b54c6

Observation b0d89187-dc23-47fa-8a20-eaf8f5e098e7 · outbound

This paper cites Stress tests and information disclosure.

Structured Reinforcement Learning for Bayesian Persuasion : Application to Intelligent Interactive Driving Stress tests and information disclosure

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-02T04:51:41.244666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T04:51:41.244666Z digest=sha256:a5c7cc1cd0d45b17f9cc2a9f5cef704640f085fceeb25dc17c4c27739ef9999d

Observation 978e15f7-98ea-4341-a921-1a77dc405c9f · outbound

This paper cites Sequential Information Design: Markov Persuasion Process and Its Efficient Reinforcement Learning.

Structured Reinforcement Learning for Bayesian Persuasion : Application to Intelligent Interactive Driving Sequential Information Design: Markov Persuasion Process and Its Efficient Reinforcement Learning

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-02T04:51:41.374848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T04:51:41.374848Z digest=sha256:9b7b2574fbcb5bed3ee6acc25eb75ed8e929130b8797cefdf7bbb6c610bfd13d

Observation 8a80a8e7-1118-4373-be9d-7dd061acfb28 · outbound

This paper cites Sequential information design: Learning to persuade in the dark.Advances in Neural Information Processing Systems, 35:15917–15928, 2022.

Structured Reinforcement Learning for Bayesian Persuasion : Application to Intelligent Interactive Driving Sequential information design: Learning to persuade in the dark.Advances in Neural Information Processing Systems, 35:15917–15928, 2022

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-02T04:51:41.432584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T04:51:41.432584Z digest=sha256:c8f2a2eeb6b9a09520b0a471dce57eccfd9a9dc34ced8dddf0eb9f65afdbc382

Observation 48fdc292-6864-46af-81d5-22267a3c93ba · outbound

This paper cites Bayesian persuasive driving.

Structured Reinforcement Learning for Bayesian Persuasion : Application to Intelligent Interactive Driving Bayesian persuasive driving

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-02T04:51:41.519929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T04:51:41.519929Z digest=sha256:b59fee1d01263285575daea84339c93b50fb150df3ed713dec39aee444027b45

Observation 3dc4dbbd-bd1d-4341-8cf5-4e77e6ac3d0e · outbound

This paper cites Examining lane change gap acceptance, duration and impact using naturalistic driving data.Transportation research part C: emerging technologies, 104:317–331, 2019.

Structured Reinforcement Learning for Bayesian Persuasion : Application to Intelligent Interactive Driving Examining lane change gap acceptance, duration and impact using naturalistic driving data.Transportation research part C: emerging technologies, 104:317–331, 2019

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-02T04:51:41.675762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T04:51:41.675762Z digest=sha256:f5f1f9a5e3c9311e1577cb0b4f10c6dff1e096cc796640761de3d85e71746115

Observation d6d8cacd-3688-4656-809c-a416d69db608 · outbound

This paper cites A survey of autonomous driving from a deep learning perspective.ACM Computing Surveys, 57(10):1–60, 2025.

Structured Reinforcement Learning for Bayesian Persuasion : Application to Intelligent Interactive Driving A survey of autonomous driving from a deep learning perspective.ACM Computing Surveys, 57(10):1–60, 2025

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-02T04:51:41.794740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T04:51:41.794740Z digest=sha256:2545979ecf546816e4bcf53f1fd6ac27e8ce15ba6b739fddd2eeda4479089dac

Observation 8fb5621b-a7c8-4f10-9375-25dcdd018c9b · outbound

This paper cites Driver lane-changing behavior prediction based on deep learning.Journal of advanced transportation, (1):6676092, 2021.

Structured Reinforcement Learning for Bayesian Persuasion : Application to Intelligent Interactive Driving Driver lane-changing behavior prediction based on deep learning.Journal of advanced transportation, (1):6676092, 2021

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-02T04:51:41.967361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T04:51:41.967361Z digest=sha256:f454eb23e8918836f086e653ccad55a77b88c55a6a6530343e876d351ceaf5bb

Observation 9a6dc79f-a969-4d1d-a5c6-d10323ba5669 · outbound

This paper cites Automated lane change decision making using deep reinforcement learning in dynamic and uncertain highway environment.

Structured Reinforcement Learning for Bayesian Persuasion : Application to Intelligent Interactive Driving Automated lane change decision making using deep reinforcement learning in dynamic and uncertain highway environment

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-02T04:51:42.114752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T04:51:42.114752Z digest=sha256:3a008cbbea1065a1353ccfc18dfda60bb9cf5e53e7389a913c120bde724ce9a0

Observation 198c8fd5-30fc-4d7e-ba0a-e81858964cf3 · outbound

This paper cites Efficient real-time routing for autonomous vehicles through Bayes correlated equilibrium: An information design framework.Information Economics and Policy, 47:14–26, 2019.

Structured Reinforcement Learning for Bayesian Persuasion : Application to Intelligent Interactive Driving Efficient real-time routing for autonomous vehicles through Bayes correlated equilibrium: An information design framework.Information Economics and Policy, 47:14–26, 2019

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-02T04:51:42.210878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T04:51:42.210878Z digest=sha256:a03e6481c1e627511e22f8e0968ea5785adfb656fc1e1c2112d444fad17daa2a

Observation 9c5643ba-6b73-4a95-8bca-92d43ebd3dac · outbound

This paper cites Beeps.American Economic Review, 107(1):31–53, 2017.

Structured Reinforcement Learning for Bayesian Persuasion : Application to Intelligent Interactive Driving Beeps.American Economic Review, 107(1):31–53, 2017

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-02T04:51:42.289367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T04:51:42.289367Z digest=sha256:acd456258fc93b08e09c3a58924d15ba02fc3063c56100a1d0238246acdba8cc

Observation e73a2d25-4dce-4491-8875-bb3abffc7278 · outbound

This paper cites Persuading farsighted receivers in MDPs: the power of honesty.

Structured Reinforcement Learning for Bayesian Persuasion : Application to Intelligent Interactive Driving Persuading farsighted receivers in MDPs: the power of honesty

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-02T04:51:42.429762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T04:51:42.429762Z digest=sha256:722d45fa732c7303c239a03f65529d20bb82acb4cfa70ec1a90026c89c816e37

Observation b4df569d-57a7-49d0-bbc5-21ecc028bb30 · outbound

This paper cites Online learning in sequential bayesian persuasion: Handling unknown priors.Artificial Intelligence, 338:104245, 2025.

Structured Reinforcement Learning for Bayesian Persuasion : Application to Intelligent Interactive Driving Online learning in sequential bayesian persuasion: Handling unknown priors.Artificial Intelligence, 338:104245, 2025

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-02T04:51:42.543817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T04:51:42.543817Z digest=sha256:ba103ee7f2e930b9fa23188d7e9cb623c41897bf497f2a099dca1456764de079

Observation 42b2d5d3-45cc-4481-87db-7e07e0b909b6 · outbound

This paper cites Multiple stopping time POMDPs: Structural results & application in interactive advertising on social media.Automatica, 95:385–398, 2018.

Structured Reinforcement Learning for Bayesian Persuasion : Application to Intelligent Interactive Driving Multiple stopping time POMDPs: Structural results & application in interactive advertising on social media.Automatica, 95:385–398, 2018

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-02T04:51:42.665398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T04:51:42.665398Z digest=sha256:783f511cbd9bd6c1c9bc62d22ccff4f008957c6d79b444997b0eb46b91535573

Observation 6bba446e-5286-4ae1-91bd-5b070d05ddc8 · outbound

This paper cites Optimal scheduling of multiple sensors over lossy and bandwidth limited channels.IEEE Transactions on Control of Network Systems, 7(3):1188–1200, 2020.

Structured Reinforcement Learning for Bayesian Persuasion : Application to Intelligent Interactive Driving Optimal scheduling of multiple sensors over lossy and bandwidth limited channels.IEEE Transactions on Control of Network Systems, 7(3):1188–1200, 2020

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-02T04:51:42.833400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T04:51:42.833400Z digest=sha256:e08d04476cb140b4b434f6118f3c115f8821d637d1fe335e4a3589d071d55513

Observation 53a49083-e09b-4971-bf61-5891475843f7 · outbound

This paper cites Transmit power control policies for energy harvesting sensors with retransmissions.IEEE Journal of Selected Topics in Signal Processing, 7(5):895–906, 2013.

Structured Reinforcement Learning for Bayesian Persuasion : Application to Intelligent Interactive Driving Transmit power control policies for energy harvesting sensors with retransmissions.IEEE Journal of Selected Topics in Signal Processing, 7(5):895–906, 2013

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-02T04:51:42.902698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T04:51:42.902698Z digest=sha256:534009545807437ccc50de4f39b48ddba5055ed53a7571e4ec77e693768c0dcd

Observation bb0f5986-d00a-474c-8255-f8b3354cf930 · outbound

This paper cites Optimality of threshold policies for transmission scheduling in correlated fading channels.IEEE Transactions on Communications, 57(8):2474–2483, 2009.

Structured Reinforcement Learning for Bayesian Persuasion : Application to Intelligent Interactive Driving Optimality of threshold policies for transmission scheduling in correlated fading channels.IEEE Transactions on Communications, 57(8):2474–2483, 2009

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-02T04:51:42.987709Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T04:51:42.987709Z digest=sha256:23edee79612a6876cfd4d4c5c089f18ab260c4e20e19a3ef34807d80280957dc

Observation 0b877030-6831-4fd7-9225-6a35cbd279cc · outbound

This paper cites an unresolved cited work.

Structured Reinforcement Learning for Bayesian Persuasion : Application to Intelligent Interactive Driving Unresolved cited work

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-02T04:51:43.048819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T04:51:43.048819Z digest=sha256:4ac221fff589cf62c5e05dcde9b0c03b5778cb7e6b609e1d94b94271ff4f6959

Observation cdea21d3-4a71-4bef-8a1d-159ef5650136 · outbound

This paper cites Algorithmic Bayesian persuasion.

Structured Reinforcement Learning for Bayesian Persuasion : Application to Intelligent Interactive Driving Algorithmic Bayesian persuasion

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-02T04:51:43.164750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T04:51:43.164750Z digest=sha256:1842781150d4e23a3c6d5e74a9d3e4e9cfd01908b7cd170fa56f908d8a2fac8c

Observation b9c4399d-76d4-4751-9670-f8e864b27581 · outbound

This paper cites Farsightedness in games: Stabilizing cooperation in international conflict.Available at SSRN 3313025, 2019.

Structured Reinforcement Learning for Bayesian Persuasion : Application to Intelligent Interactive Driving Farsightedness in games: Stabilizing cooperation in international conflict.Available at SSRN 3313025, 2019

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-02T04:51:43.328050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T04:51:43.328050Z digest=sha256:1fde8012a24abb494ba10070cc76e9258bd19902b36051e1913f91630d5ea077

Observation 3be8605c-b512-4546-a130-61080c2d0b53 · outbound

This paper cites Applying Markov decision process to understand driving decisions using basic safety messages data.Trans- portation Research Part C: Emerging Technologies, 115:102642, 2020.

Structured Reinforcement Learning for Bayesian Persuasion : Application to Intelligent Interactive Driving Applying Markov decision process to understand driving decisions using basic safety messages data.Trans- portation Research Part C: Emerging Technologies, 115:102642, 2020

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-02T04:51:43.497124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T04:51:43.497124Z digest=sha256:4f8bfc3f3f81f933d594833b57e19f57aaaee1f3fea734601ddf68c6c3fa2b0b

Observation 98a5d01e-e412-460f-ae35-6e3e890c8797 · outbound

This paper cites Markov Decision Processes.Handbooks in operations research and management science, 2:331–434, 1990.

Structured Reinforcement Learning for Bayesian Persuasion : Application to Intelligent Interactive Driving Markov Decision Processes.Handbooks in operations research and management science, 2:331–434, 1990

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-02T04:51:43.585467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T04:51:43.585467Z digest=sha256:0010270110038a9d0df096508751bdba36b38d43d0647b9366fcc583afb1364d

Observation 886edbe5-96c4-4948-b829-0217569ca0cb · outbound

This paper cites Information design in multi-agent reinforcement learning.Advances in Neural Information Processing Systems, 36:25584–25597, 2023.

Structured Reinforcement Learning for Bayesian Persuasion : Application to Intelligent Interactive Driving Information design in multi-agent reinforcement learning.Advances in Neural Information Processing Systems, 36:25584–25597, 2023

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-02T04:51:43.645146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T04:51:43.645146Z digest=sha256:9ac3bfe027288d0b1420172610153c77fee6ebf1afc56d7593a8615659c3347b

Observation 98e42f17-5d47-4e2e-a31d-69ca337fb221 · outbound

This paper cites Persuading a behavioral agent: Approximately best responding and learning.arXiv preprint, 2023.

Structured Reinforcement Learning for Bayesian Persuasion : Application to Intelligent Interactive Driving Persuading a behavioral agent: Approximately best responding and learning.arXiv preprint, 2023

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-02T04:51:43.752183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T04:51:43.752183Z digest=sha256:d66ea477b26d34c03b34615ffe957519e8756c72772d08082eafd3f92f58adc7

Observation ccc34bb2-0098-4ec3-b5bd-0ba94b5e68c2 · outbound

This paper cites Cambridge university press, 2016.

Structured Reinforcement Learning for Bayesian Persuasion : Application to Intelligent Interactive Driving Cambridge university press, 2016

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-02T04:51:43.925420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T04:51:43.925420Z digest=sha256:1d55658278ab715476b359e177d7f978f6e06829d8bbf44cc49ad67aa0024c84

Observation b646ac69-68d0-480e-b7a9-8bba8741325d · outbound

This paper cites Simulation-based optimization of Markov reward processes.IEEE Transactions on Automatic Control, 46(2):191–209, 2001.

Structured Reinforcement Learning for Bayesian Persuasion : Application to Intelligent Interactive Driving Simulation-based optimization of Markov reward processes.IEEE Transactions on Automatic Control, 46(2):191–209, 2001

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-02T04:51:44.076835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T04:51:44.076835Z digest=sha256:5abc7bc996e44bc35ba6d97d3bb6b45854abd45c9ee451c567392c3fc9e1919f

Observation 2f8c5417-dace-4bc4-b481-9fbae07f41e5 · outbound

This paper cites Simulation- based approximate policy iteration with generalized logistic functions.

Structured Reinforcement Learning for Bayesian Persuasion : Application to Intelligent Interactive Driving Simulation- based approximate policy iteration with generalized logistic functions

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-02T04:51:44.247464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T04:51:44.247464Z digest=sha256:d46b86b6c03355864a6bc0963b37f8b92574f3dc00a66189bc096bb4ae66af5e

Observation 47939d03-6157-4eca-98e8-93c8c7965226 · outbound

This paper cites Relative Q-learning for average-reward Markov decision processes with continuous states.IEEE Transactions on Automatic Control, 2024.

Structured Reinforcement Learning for Bayesian Persuasion : Application to Intelligent Interactive Driving Relative Q-learning for average-reward Markov decision processes with continuous states.IEEE Transactions on Automatic Control, 2024

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-02T04:51:44.389806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T04:51:44.389806Z digest=sha256:128f690d5e9c759f4a14de3a8f1021e0f93cc2084827ceaa9c33e8c74dc71f6c

Observation ca73fd27-4d34-4445-a28e-2045ef4c6ea6 · outbound

This paper cites Reducing congestion through information design.

Structured Reinforcement Learning for Bayesian Persuasion : Application to Intelligent Interactive Driving Reducing congestion through information design

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-02T04:51:44.562469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T04:51:44.562469Z digest=sha256:fa667a24641eb7935372a5dd4ae96e85264ce2060758d8796ba7095e9b1bdfe1

Observation a9d498d3-2d13-40ef-8e42-378c7a7e5f7f · outbound

This paper cites Model predictive control-based multivariable controller for traffic flows in automated freeway systems.IEEE Intelligent Transportation Systems Magazine, 15(2):149–161, 2022.

Structured Reinforcement Learning for Bayesian Persuasion : Application to Intelligent Interactive Driving Model predictive control-based multivariable controller for traffic flows in automated freeway systems.IEEE Intelligent Transportation Systems Magazine, 15(2):149–161, 2022

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-02T04:51:44.664370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T04:51:44.664370Z digest=sha256:07b39284c5239bd58d30336e8b56dc566196f4cab86fa028c08501437276fb3b

Observation 1bfb9960-3592-444a-badd-3d7bf9cb2467 · outbound

This paper cites Congestion avoidance routing based on large-scale social signals.IEEE Transactions on Intelligent Transportation Systems, 17(9):2613–2626, 2015.

Structured Reinforcement Learning for Bayesian Persuasion : Application to Intelligent Interactive Driving Congestion avoidance routing based on large-scale social signals.IEEE Transactions on Intelligent Transportation Systems, 17(9):2613–2626, 2015

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-02T04:51:44.803069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T04:51:44.803069Z digest=sha256:931e874386e273192a80511acafa7a9d09a7835e15e116d46907e94249b9d85a

Observation 3c7bbb56-5486-4d85-9e72-4d49f0caa187 · outbound

This paper cites On the estimation of arterial route travel time distribution with Markov chains.Transportation Research Part B: Methodological, 46(10):1576–1590, 2012.

Structured Reinforcement Learning for Bayesian Persuasion : Application to Intelligent Interactive Driving On the estimation of arterial route travel time distribution with Markov chains.Transportation Research Part B: Methodological, 46(10):1576–1590, 2012

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-02T04:51:44.913180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T04:51:44.913180Z digest=sha256:e07722da303e52ea50e06315765df8a798cf88ae877ba384099f9316beb8d4e6

Observation 205cee17-d574-4a85-9e3d-ad4660f812c3 · outbound

This paper cites A novel method for lane- change maneuver in urban driving using predictive Markov decision process.arXiv preprint, 2022.

Structured Reinforcement Learning for Bayesian Persuasion : Application to Intelligent Interactive Driving A novel method for lane- change maneuver in urban driving using predictive Markov decision process.arXiv preprint, 2022

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-02T04:51:44.994750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T04:51:44.994750Z digest=sha256:9d54b99649ecf856fd49233e0bad076a0d873889f0a58f7fd33011fb1e2cdbdc

Observation 27b3675d-36e4-41c5-a068-6615e7ada3d8 · outbound

This paper cites Learning-based model predictive control: Toward safe learning in control.Annual Review of Control, Robotics, and Autonomous Systems, 3(1):269–296, 2020.

Structured Reinforcement Learning for Bayesian Persuasion : Application to Intelligent Interactive Driving Learning-based model predictive control: Toward safe learning in control.Annual Review of Control, Robotics, and Autonomous Systems, 3(1):269–296, 2020

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-02T04:51:45.173707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T04:51:45.173707Z digest=sha256:4d592472be893c7094666c9acd2dea24d90a604cc21542ed32d027126eca2416

Observation 3f63fce5-ceaa-440a-9b6a-554c17dd7771 · outbound

This paper cites Lane-change intention estimation for car-following control in autonomous driving.IEEE Transactions on Intelligent Vehicles, 3(3):276–286, 2018.

Structured Reinforcement Learning for Bayesian Persuasion : Application to Intelligent Interactive Driving Lane-change intention estimation for car-following control in autonomous driving.IEEE Transactions on Intelligent Vehicles, 3(3):276–286, 2018

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-02T04:51:45.268690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T04:51:45.268690Z digest=sha256:9c3d7c01e76cb9d3d6858b7fa719cff42863b90b1740397173cdf4801f5ea474

Observation 0ffed3b8-05a9-4a74-9795-fa5bf358e4e9 · outbound

This paper cites A framework for efficient dynamic routing under stochastically varying conditions.Transportation research part B: methodological, 160:97–124, 2022.

Structured Reinforcement Learning for Bayesian Persuasion : Application to Intelligent Interactive Driving A framework for efficient dynamic routing under stochastically varying conditions.Transportation research part B: methodological, 160:97–124, 2022

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-02T04:51:45.385746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T04:51:45.385746Z digest=sha256:d8b086ab140f32190aa34b07bdc9420a98e1a18d48cff27901b3f0bad50d0692

Observation 68e1857b-e819-4ef0-91d8-f20542c57d77 · outbound

This paper cites Ulmer, Dirk C.

Structured Reinforcement Learning for Bayesian Persuasion : Application to Intelligent Interactive Driving Ulmer, Dirk C

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-02T04:51:45.508074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T04:51:45.508074Z digest=sha256:c5684bb5be711c0fb3d4b288268ebbb5621d4d5073ebc5253c6df2c9e5c0c683

Observation d4dc9822-ab78-48ee-89d4-8f31f515f46e · outbound

This paper cites Optimal signaling mecha- nisms in unobservable queues.Available at SSRN 2964093, 2018.

Structured Reinforcement Learning for Bayesian Persuasion : Application to Intelligent Interactive Driving Optimal signaling mecha- nisms in unobservable queues.Available at SSRN 2964093, 2018

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-02T04:51:45.643530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T04:51:45.643530Z digest=sha256:e864c72b9289d4418b6de33b95e559651c724704c1e6551cc5014262b9914754

Observation 55c56bea-8658-4de2-8c81-9d0ed4b27b32 · outbound

This paper cites Average cost optimal stationary policies in infinite state Markov decision processes with unbounded costs.Operations Research, 37(4):626–633, 1989.

Structured Reinforcement Learning for Bayesian Persuasion : Application to Intelligent Interactive Driving Average cost optimal stationary policies in infinite state Markov decision processes with unbounded costs.Operations Research, 37(4):626–633, 1989

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-02T04:51:45.742447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T04:51:45.742447Z digest=sha256:916e6b44eeb32bfcd4e3ade4c2893f3add9c32f5b3ccf2ed14089df27a31736e

Observation e98442ca-23c0-434a-837f-95bb4674feca · outbound

This paper cites Monotonicity of con- strained optimal transmission policies in correlated fading channels with ARQ.IEEE Transactions on Signal Processing, 58(1):438–451, 2009.

Structured Reinforcement Learning for Bayesian Persuasion : Application to Intelligent Interactive Driving Monotonicity of con- strained optimal transmission policies in correlated fading channels with ARQ.IEEE Transactions on Signal Processing, 58(1):438–451, 2009

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-02T04:51:45.799614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T04:51:45.799614Z digest=sha256:8eb1e1a329cbc0fb7449ea334a04cdbc3ab4b88f02a3ddfbd7421e8b40314b5a

Observation bd53d389-dd72-4d9c-bd6d-ace25616eaeb · outbound

This paper cites Approximation algorithms for inventory problems with submodular or routing costs.Mathematical Programming, 160:225–244, 2016.

Structured Reinforcement Learning for Bayesian Persuasion : Application to Intelligent Interactive Driving Approximation algorithms for inventory problems with submodular or routing costs.Mathematical Programming, 160:225–244, 2016

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-02T04:51:45.863026Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T04:51:45.863026Z digest=sha256:df673fabdb45a1c16a998e50f0a1df4d194174cc6ee8eebf9db7f7d550e96184

Observation 20a7156e-d22c-432f-af73-37ec6d6f6607 · outbound

This paper cites Optimal paths in graphs with stochastic or multidimensional weights.Communications of the ACM, 26(9):670– 676, 1983.

Structured Reinforcement Learning for Bayesian Persuasion : Application to Intelligent Interactive Driving Optimal paths in graphs with stochastic or multidimensional weights.Communications of the ACM, 26(9):670– 676, 1983

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-02T04:51:45.938314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T04:51:45.938314Z digest=sha256:abbd9158858e52f1c27712e481a99d22c62016d4e55cc9ee2c36462c1093de89

Observation 45b9975f-aaee-4e4e-9183-7bfd96f6de75 · outbound

This paper cites Decision-oriented learning with differentiable submodular maximization for vehicle routing problem.

Structured Reinforcement Learning for Bayesian Persuasion : Application to Intelligent Interactive Driving Decision-oriented learning with differentiable submodular maximization for vehicle routing problem

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-02T04:51:45.981166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T04:51:45.981166Z digest=sha256:d080b6e5001a8f69376aacf9018a6894dbb718631fbd6f2ccfd15e5f1feaadf1

Observation 66dfac45-033a-4c4e-8a1f-778149b7a210 · outbound

This paper cites Adaptive submodular ranking and routing.Operations Research, 68(3):856–877, 2020.

Structured Reinforcement Learning for Bayesian Persuasion : Application to Intelligent Interactive Driving Adaptive submodular ranking and routing.Operations Research, 68(3):856–877, 2020

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-02T04:51:46.080018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T04:51:46.080018Z digest=sha256:db61942f4fff020f4c366d0b66b2124429c9ef8c7ad82fe4fbda65163a01f900

Observation cc83a2dd-7514-4b40-a76b-d4d024eab631 · outbound

This paper cites Efficient stochastic routing in path- centric uncertain road networks.Proceedings of the VLDB Endowment, 17(11):2893–2905, 2024.

Structured Reinforcement Learning for Bayesian Persuasion : Application to Intelligent Interactive Driving Efficient stochastic routing in path- centric uncertain road networks.Proceedings of the VLDB Endowment, 17(11):2893–2905, 2024

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-02T04:51:46.119766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T04:51:46.119766Z digest=sha256:7c916300b993b8eafea1271af5c586467da244fe36d0b896c6dd024c301384ac

Observation e511ba06-6aba-414d-af75-e7f4478e48fd · outbound

This paper cites Vehicle velocity prediction and energy management strategy part 1: Deterministic and stochastic vehicle velocity prediction using machine learning.

Structured Reinforcement Learning for Bayesian Persuasion : Application to Intelligent Interactive Driving Vehicle velocity prediction and energy management strategy part 1: Deterministic and stochastic vehicle velocity prediction using machine learning

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-02T04:51:46.206500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T04:51:46.206500Z digest=sha256:adb5b31933d82da5634dbe93e9f2f51a6da36515e3dbff7b6b62ef93fccf63d6

Pith citing papers

No inbound Pith citation observations are available.