Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-02T04:51:46.206500Z
Paper Citation Record · LEDGER
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.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-02T04:51:46.206500Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
52 of 52 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation d66be76a-02db-4fe2-97f2-b5205bb45048 · outbound
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
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Observation aca016b4-9646-406d-a3ac-80e0627b9cf6 · outbound
Structured Reinforcement Learning for Bayesian Persuasion : Application to Intelligent Interactive Driving Bayesian persuasion in sequential decision-making
Reference 2
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Observation e113e246-4f21-4d0a-832c-6ea8bc9b98bd · outbound
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
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Observation af40f6ee-4174-488e-9d48-983dc0312fbe · outbound
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
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Observation 0f6a9423-32b6-4d59-956a-4d648c9fece3 · outbound
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
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Observation 44b88cc1-7d4c-4802-a643-75cb4222af73 · outbound
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
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Observation f25cda24-24bc-487b-b653-c31dbf87f574 · outbound
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
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Observation b0d89187-dc23-47fa-8a20-eaf8f5e098e7 · outbound
Structured Reinforcement Learning for Bayesian Persuasion : Application to Intelligent Interactive Driving Stress tests and information disclosure
Reference 8
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Observation 978e15f7-98ea-4341-a921-1a77dc405c9f · outbound
Structured Reinforcement Learning for Bayesian Persuasion : Application to Intelligent Interactive Driving Sequential Information Design: Markov Persuasion Process and Its Efficient Reinforcement Learning
Reference 9
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Observation 8a80a8e7-1118-4373-be9d-7dd061acfb28 · outbound
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
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Observation 48fdc292-6864-46af-81d5-22267a3c93ba · outbound
Structured Reinforcement Learning for Bayesian Persuasion : Application to Intelligent Interactive Driving Bayesian persuasive driving
Reference 11
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Observation 3dc4dbbd-bd1d-4341-8cf5-4e77e6ac3d0e · outbound
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
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Observation d6d8cacd-3688-4656-809c-a416d69db608 · outbound
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
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Observation 8fb5621b-a7c8-4f10-9375-25dcdd018c9b · outbound
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
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Unavailable: canonical work link unavailable.
Observation 9a6dc79f-a969-4d1d-a5c6-d10323ba5669 · outbound
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
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Observation 198c8fd5-30fc-4d7e-ba0a-e81858964cf3 · outbound
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
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Observation 9c5643ba-6b73-4a95-8bca-92d43ebd3dac · outbound
Structured Reinforcement Learning for Bayesian Persuasion : Application to Intelligent Interactive Driving Beeps.American Economic Review, 107(1):31–53, 2017
Reference 17
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Unavailable: canonical work link unavailable.
Observation e73a2d25-4dce-4491-8875-bb3abffc7278 · outbound
Structured Reinforcement Learning for Bayesian Persuasion : Application to Intelligent Interactive Driving Persuading farsighted receivers in MDPs: the power of honesty
Reference 18
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Unavailable: canonical work link unavailable.
Observation b4df569d-57a7-49d0-bbc5-21ecc028bb30 · outbound
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
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Observation 42b2d5d3-45cc-4481-87db-7e07e0b909b6 · outbound
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
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Unavailable: canonical work link unavailable.
Observation 6bba446e-5286-4ae1-91bd-5b070d05ddc8 · outbound
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
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Observation 53a49083-e09b-4971-bf61-5891475843f7 · outbound
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
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Observation bb0f5986-d00a-474c-8255-f8b3354cf930 · outbound
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
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Observation 0b877030-6831-4fd7-9225-6a35cbd279cc · outbound
Structured Reinforcement Learning for Bayesian Persuasion : Application to Intelligent Interactive Driving Unresolved cited work
Reference 24
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Observation cdea21d3-4a71-4bef-8a1d-159ef5650136 · outbound
Structured Reinforcement Learning for Bayesian Persuasion : Application to Intelligent Interactive Driving Algorithmic Bayesian persuasion
Reference 25
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Unavailable: canonical work link unavailable.
Observation b9c4399d-76d4-4751-9670-f8e864b27581 · outbound
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
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Unavailable: canonical work link unavailable.
Observation 3be8605c-b512-4546-a130-61080c2d0b53 · outbound
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
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Observation 98a5d01e-e412-460f-ae35-6e3e890c8797 · outbound
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
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Observation 886edbe5-96c4-4948-b829-0217569ca0cb · outbound
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
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Observation 98e42f17-5d47-4e2e-a31d-69ca337fb221 · outbound
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
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Observation ccc34bb2-0098-4ec3-b5bd-0ba94b5e68c2 · outbound
Structured Reinforcement Learning for Bayesian Persuasion : Application to Intelligent Interactive Driving Cambridge university press, 2016
Reference 31
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Observation b646ac69-68d0-480e-b7a9-8bba8741325d · outbound
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
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Observation 2f8c5417-dace-4bc4-b481-9fbae07f41e5 · outbound
Structured Reinforcement Learning for Bayesian Persuasion : Application to Intelligent Interactive Driving Simulation- based approximate policy iteration with generalized logistic functions
Reference 33
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Observation 47939d03-6157-4eca-98e8-93c8c7965226 · outbound
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
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Observation ca73fd27-4d34-4445-a28e-2045ef4c6ea6 · outbound
Structured Reinforcement Learning for Bayesian Persuasion : Application to Intelligent Interactive Driving Reducing congestion through information design
Reference 35
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Observation a9d498d3-2d13-40ef-8e42-378c7a7e5f7f · outbound
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
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Observation 1bfb9960-3592-444a-badd-3d7bf9cb2467 · outbound
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
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Observation 3c7bbb56-5486-4d85-9e72-4d49f0caa187 · outbound
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
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Observation 205cee17-d574-4a85-9e3d-ad4660f812c3 · outbound
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
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Observation 27b3675d-36e4-41c5-a068-6615e7ada3d8 · outbound
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
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Observation 3f63fce5-ceaa-440a-9b6a-554c17dd7771 · outbound
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
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Observation 0ffed3b8-05a9-4a74-9795-fa5bf358e4e9 · outbound
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
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Observation 68e1857b-e819-4ef0-91d8-f20542c57d77 · outbound
Structured Reinforcement Learning for Bayesian Persuasion : Application to Intelligent Interactive Driving Ulmer, Dirk C
Reference 43
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Observation d4dc9822-ab78-48ee-89d4-8f31f515f46e · outbound
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
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Observation 55c56bea-8658-4de2-8c81-9d0ed4b27b32 · outbound
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
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Observation e98442ca-23c0-434a-837f-95bb4674feca · outbound
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
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Observation bd53d389-dd72-4d9c-bd6d-ace25616eaeb · outbound
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
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Observation 20a7156e-d22c-432f-af73-37ec6d6f6607 · outbound
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
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Observation 45b9975f-aaee-4e4e-9183-7bfd96f6de75 · outbound
Structured Reinforcement Learning for Bayesian Persuasion : Application to Intelligent Interactive Driving Decision-oriented learning with differentiable submodular maximization for vehicle routing problem
Reference 49
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Observation 66dfac45-033a-4c4e-8a1f-778149b7a210 · outbound
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
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Observation cc83a2dd-7514-4b40-a76b-d4d024eab631 · outbound
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
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Observation e511ba06-6aba-414d-af75-e7f4478e48fd · outbound
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
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No inbound Pith citation observations are available.