Deep reinforcement learning for separation control in turbulent wind-tunnel flow | Paper Citation Record

Observation 2d6fc31e-ba2e-4b32-a43e-5c998202090b · outbound

This paper cites V.,Boundary Layer and Flow Control: Its Principles and Application, Vol.

Deep reinforcement learning for separation control in turbulent wind-tunnel flow V.,Boundary Layer and Flow Control: Its Principles and Application, Vol

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:37:20.284034Z

Source-reported events for the cited work

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

Observation 6d9fe79c-a845-4991-8e0b-7e8a6ac57ffb · outbound

This paper cites Separation control: Review,.

Deep reinforcement learning for separation control in turbulent wind-tunnel flow Separation control: Review,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:37:20.269237Z

Source-reported events for the cited work

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

Observation 12417ca8-63f2-4ef2-b2b5-a1e57c32dd8f · outbound

This paper cites The Formation and Evolution of Synthetic Jets,.

Deep reinforcement learning for separation control in turbulent wind-tunnel flow The Formation and Evolution of Synthetic Jets,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T16:37:19.286962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f5cc191-feb4-4e4c-a169-79decc9473da · outbound

This paper cites Synthetic Jets,.

Deep reinforcement learning for separation control in turbulent wind-tunnel flow Synthetic Jets,

Reference 4

Resolution: metadata mismatch; raw_fallback, observed 2026-08-12T16:37:20.075764Z

Source-reported events for the cited work

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

Observation 80e4d0b7-d328-4e64-b797-58e875670cf9 · outbound

This paper cites Fluidic Oscillators for Flow Control,.

Deep reinforcement learning for separation control in turbulent wind-tunnel flow Fluidic Oscillators for Flow Control,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:37:20.255196Z

Source-reported events for the cited work

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

Observation cbd1bee3-4fac-4937-9ed4-1da2b2fdfee9 · outbound

This paper cites A Review of Fluidic Oscillator Development and Application for Flow Control,.

Deep reinforcement learning for separation control in turbulent wind-tunnel flow A Review of Fluidic Oscillator Development and Application for Flow Control,

Reference 6

Resolution: verified exact; doi, observed 2026-08-12T16:37:19.917908Z

Source-reported events for the cited work

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

Observation ce8ae882-e1b1-44dd-a937-b0d261db0580 · outbound

This paper cites The Interaction Between a Spatially Oscillating Jet Emitted by a Fluidic Oscillator and a Cross-Flow,.

Deep reinforcement learning for separation control in turbulent wind-tunnel flow The Interaction Between a Spatially Oscillating Jet Emitted by a Fluidic Oscillator and a Cross-Flow,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:37:20.240731Z

Source-reported events for the cited work

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

Observation 83c22222-bfd2-4c5c-a0f2-4a372e786b1f · outbound

This paper cites Active Separation Control on the Flap of a Two-Dimensional Generic High-Lift Configuration,.

Deep reinforcement learning for separation control in turbulent wind-tunnel flow Active Separation Control on the Flap of a Two-Dimensional Generic High-Lift Configuration,

Reference 8

Resolution: verified exact; doi, observed 2026-08-12T16:37:19.902766Z

Source-reported events for the cited work

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

Observation fa68ac7e-21e7-4bbf-b5c8-e99516ffeb2f · outbound

This paper cites Pulsed Air-Jet Actuators for Flow Separation Control,.

Deep reinforcement learning for separation control in turbulent wind-tunnel flow Pulsed Air-Jet Actuators for Flow Separation Control,

Reference 9

Resolution: verified exact; doi, observed 2026-08-12T16:37:19.888091Z

Source-reported events for the cited work

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

Observation e194272c-26ea-47c5-820e-d9efeaaa1523 · outbound

This paper cites Suction and Oscillatory Blowing Actuator Modeling and Validation,.

Deep reinforcement learning for separation control in turbulent wind-tunnel flow Suction and Oscillatory Blowing Actuator Modeling and Validation,

Reference 10

Resolution: verified exact; doi, observed 2026-08-12T16:37:19.873181Z

Source-reported events for the cited work

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

Observation a1539973-8b49-4b48-bda4-15c5976749a6 · outbound

This paper cites Bluff Body Drag Manipulation Using Pulsed Jets and Coanda Effect,.

Deep reinforcement learning for separation control in turbulent wind-tunnel flow Bluff Body Drag Manipulation Using Pulsed Jets and Coanda Effect,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T16:37:19.324530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c28d685-3c45-4256-b2df-d509f288f27a · outbound

This paper cites Boundary-LayerControlwithAtmosphericPlasmaDischarges,.

Deep reinforcement learning for separation control in turbulent wind-tunnel flow Boundary-LayerControlwithAtmosphericPlasmaDischarges,

Reference 12

Resolution: verified exact; doi, observed 2026-08-12T16:37:19.849882Z

Source-reported events for the cited work

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

Observation fad11c9b-6cb1-4329-b79d-d66b0f98a1a3 · outbound

This paper cites Dielectric Barrier Discharge Plasma Actuators for Flow Control,.

Deep reinforcement learning for separation control in turbulent wind-tunnel flow Dielectric Barrier Discharge Plasma Actuators for Flow Control,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:37:20.225964Z

Source-reported events for the cited work

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

Observation 4eedf87b-6ee4-42d1-82e2-1d702b8b04a2 · outbound

This paper cites Experimental Study for Momentum Transfer in a Dielectric Barrier Discharge Plasma Actuator,.

Deep reinforcement learning for separation control in turbulent wind-tunnel flow Experimental Study for Momentum Transfer in a Dielectric Barrier Discharge Plasma Actuator,

Reference 14

Resolution: verified exact; doi, observed 2026-08-12T16:37:19.835066Z

Source-reported events for the cited work

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

Observation e61d8bc1-65f3-434b-92fb-4bcadaef5511 · outbound

This paper cites The Taming of the Shrew: Why Is It so Difficult to Control Turbulence?.

Deep reinforcement learning for separation control in turbulent wind-tunnel flow The Taming of the Shrew: Why Is It so Difficult to Control Turbulence?

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:37:20.211459Z

Source-reported events for the cited work

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

Observation cfd1df94-822b-4f9d-b750-4bfb9bd719d3 · outbound

This paper cites Fluidic-Oscillator-Based Pulsed Jet Actuators for Flow Separation Control,.

Deep reinforcement learning for separation control in turbulent wind-tunnel flow Fluidic-Oscillator-Based Pulsed Jet Actuators for Flow Separation Control,

Reference 16

Resolution: verified exact; doi, observed 2026-08-12T16:37:19.820755Z

Source-reported events for the cited work

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

Observation 238ece4e-cd60-48c3-9799-c731d5f0c707 · outbound

This paper cites The control of flow separation by periodic excitation,.

Deep reinforcement learning for separation control in turbulent wind-tunnel flow The control of flow separation by periodic excitation,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-12T16:37:19.351382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f15496e-10eb-4cd2-abea-251431e5e659 · outbound

This paper cites Delay of airfoil stall by periodic excitation,.

Deep reinforcement learning for separation control in turbulent wind-tunnel flow Delay of airfoil stall by periodic excitation,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-12T16:37:19.355740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f364bde9-3228-4a12-9559-92e9e35fe2f7 · outbound

This paper cites DragReductionofaBluffBodyUsingAdaptiveControlMethods,.

Deep reinforcement learning for separation control in turbulent wind-tunnel flow DragReductionofaBluffBodyUsingAdaptiveControlMethods,

Reference 19

Resolution: verified exact; doi, observed 2026-08-12T16:37:19.786778Z

Source-reported events for the cited work

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

Observation 2da31b29-cc7e-4f40-b36c-ee0c7ffd0460 · outbound

This paper cites Robust Multivariable Closed-Loop Control of a Turbulent Backward-Facing Step Flow,.

Deep reinforcement learning for separation control in turbulent wind-tunnel flow Robust Multivariable Closed-Loop Control of a Turbulent Backward-Facing Step Flow,

Reference 20

Resolution: verified exact; doi, observed 2026-08-12T16:37:19.771850Z

Source-reported events for the cited work

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

Observation 42e2ed1a-e945-475b-b6a6-6f2801fc90b7 · outbound

This paper cites Effect of Base Flow Variation in Noise Amplifiers: The Flat-Plate Boundary Layer,.

Deep reinforcement learning for separation control in turbulent wind-tunnel flow Effect of Base Flow Variation in Noise Amplifiers: The Flat-Plate Boundary Layer,

Reference 21

Resolution: verified exact; doi, observed 2026-08-12T16:37:19.756945Z

Source-reported events for the cited work

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

Observation 89fb6a23-c1c0-41d9-8044-d956555b1d18 · outbound

This paper cites Effects of Pulsed Actuation Upstream a Backward-Facing Step,.

Deep reinforcement learning for separation control in turbulent wind-tunnel flow Effects of Pulsed Actuation Upstream a Backward-Facing Step,

Reference 22

Resolution: verified exact; doi, observed 2026-08-12T16:37:19.741877Z

Source-reported events for the cited work

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

Observation 9c1ab1f6-3bf2-42f1-880c-6cc79657f111 · outbound

This paper cites Model Reduction for Flow Analysis and Control,.

Deep reinforcement learning for separation control in turbulent wind-tunnel flow Model Reduction for Flow Analysis and Control,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-12T16:37:19.378406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7b1adad-9dd4-4e6c-b72d-d95e92a727ca · outbound

This paper cites Closed-Loop Turbulence Control: Progress and Challenges,.

Deep reinforcement learning for separation control in turbulent wind-tunnel flow Closed-Loop Turbulence Control: Progress and Challenges,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-12T16:37:19.382972Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc24e053-77e0-4594-beba-3288407d12bf · outbound

This paper cites Machine Learning for Fluid Mechanics,.

Deep reinforcement learning for separation control in turbulent wind-tunnel flow Machine Learning for Fluid Mechanics,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-12T16:37:19.387629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1e75f43-de8a-4336-b96f-f103bea10bcb · outbound

This paper cites Application of Neural Networks to Turbulence Control for Drag Reduction,.

Deep reinforcement learning for separation control in turbulent wind-tunnel flow Application of Neural Networks to Turbulence Control for Drag Reduction,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:37:20.196991Z

Source-reported events for the cited work

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

Observation 1fbc3591-db53-4e06-a0f0-a6fc48d612d0 · outbound

This paper cites S., and Barto, A.

Deep reinforcement learning for separation control in turbulent wind-tunnel flow S., and Barto, A

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:37:20.182803Z

Source-reported events for the cited work

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

Observation 8984b332-6854-4b66-ace4-b231040431aa · outbound

This paper cites A Statistical Learning Strategy for Closed-Loop Control of Fluid Flows,.

Deep reinforcement learning for separation control in turbulent wind-tunnel flow A Statistical Learning Strategy for Closed-Loop Control of Fluid Flows,

Reference 28

Resolution: verified exact; doi, observed 2026-08-12T16:37:19.698551Z

Source-reported events for the cited work

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

Observation 60774188-a6b8-4594-8f24-7845ff3481a6 · outbound

This paper cites Artificial Neural Networks trained through Deep Reinforcement Learning discover control strategies for active flow control.

Deep reinforcement learning for separation control in turbulent wind-tunnel flow Artificial Neural Networks trained through Deep Reinforcement Learning discover control strategies for active flow control

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-08-12T16:37:19.683818Z

Source-reported events for the cited work

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

Observation ea9865c6-4382-400f-ace2-8eeeb64db9b6 · outbound

This paper cites Deep reinforcement learning in fluid mechanics: A promising method for both active flow control and shape optimization,.

Deep reinforcement learning for separation control in turbulent wind-tunnel flow Deep reinforcement learning in fluid mechanics: A promising method for both active flow control and shape optimization,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:37:20.168528Z

Source-reported events for the cited work

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

Observation 3364f7e2-8905-41cc-beff-9a805e0382f1 · outbound

This paper cites Robust active flow control over a range of Reynolds numbers using an artificial neural network trained through deep reinforcement learning,.

Deep reinforcement learning for separation control in turbulent wind-tunnel flow Robust active flow control over a range of Reynolds numbers using an artificial neural network trained through deep reinforcement learning,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-12T16:37:19.415688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9df5ae7-c56b-4791-8a6c-ce28fa893e10 · outbound

This paper cites Applying Deep Reinforcement Learning to Active Flow Control in Turbulent Conditions,.

Deep reinforcement learning for separation control in turbulent wind-tunnel flow Applying Deep Reinforcement Learning to Active Flow Control in Turbulent Conditions,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-12T16:37:19.420496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d875dcd8-a8b0-4c74-86d6-73488c2621f6 · outbound

This paper cites Reinforcement Learning for Bluff Body Active Flow Control in Experiments and Simulations,.

Deep reinforcement learning for separation control in turbulent wind-tunnel flow Reinforcement Learning for Bluff Body Active Flow Control in Experiments and Simulations,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-12T16:37:19.424951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea91fa80-6f23-4e87-8e6b-e2714fd4bff4 · outbound

This paper cites Experimental Study on Application of Distributed Deep Reinforcement Learning to Closed-loop Flow Separation Control over an Airfoil,.

Deep reinforcement learning for separation control in turbulent wind-tunnel flow Experimental Study on Application of Distributed Deep Reinforcement Learning to Closed-loop Flow Separation Control over an Airfoil,

Reference 34

Resolution: verified exact; doi, observed 2026-08-12T16:37:19.634727Z

Source-reported events for the cited work

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

Observation 7f3ca905-f94a-4b58-9274-36379d6678d1 · outbound

This paper cites Transformer-based in-context Policy Learning for Efficient Active Flow Control Across Various Airfoils,.

Deep reinforcement learning for separation control in turbulent wind-tunnel flow Transformer-based in-context Policy Learning for Efficient Active Flow Control Across Various Airfoils,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:37:20.153003Z

Source-reported events for the cited work

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

Observation 63fa2d4d-d515-4086-9b6a-a1e3ae1a9872 · outbound

This paper cites Deep reinforcement learning for active flow control in a turbulent separation bubble,.

Deep reinforcement learning for separation control in turbulent wind-tunnel flow Deep reinforcement learning for active flow control in a turbulent separation bubble,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:37:20.137557Z

Source-reported events for the cited work

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

Observation 534ab690-4864-4dc2-ad24-57fc827d405a · outbound

This paper cites Experimental deep reinforcement learning control of a turbulent boundary layer with plasma actuators for skin-friction drag reduction,.

Deep reinforcement learning for separation control in turbulent wind-tunnel flow Experimental deep reinforcement learning control of a turbulent boundary layer with plasma actuators for skin-friction drag reduction,

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-12T16:37:19.443296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d992232-d3f4-4a4b-a23e-4060f0404dc6 · outbound

This paper cites Surrogate-Based Exploration of Active Separation Control Parameters: An Experimental Study,.

Deep reinforcement learning for separation control in turbulent wind-tunnel flow Surrogate-Based Exploration of Active Separation Control Parameters: An Experimental Study,

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-12T16:37:19.447532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f9848ec-771c-4bd2-8a51-138f69663ffb · outbound

This paper cites Efficiency Enhancement in Active Separation Control Through Optimizing the Duty Cycle of Pulsed Jets,.

Deep reinforcement learning for separation control in turbulent wind-tunnel flow Efficiency Enhancement in Active Separation Control Through Optimizing the Duty Cycle of Pulsed Jets,

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-12T16:37:19.451845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb2c6fe1-b50f-46f7-91da-f8be8855a263 · outbound

This paper cites Boundary-layer control by means of pulsed jets at different inclination angles,.

Deep reinforcement learning for separation control in turbulent wind-tunnel flow Boundary-layer control by means of pulsed jets at different inclination angles,

Reference 40

Resolution: verified exact; doi, observed 2026-08-12T16:37:19.601748Z

Source-reported events for the cited work

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

Observation c071d695-d38f-4ac6-80d4-4741ad7e1843 · outbound

This paper cites Vortex rings produced by non-parallel planar starting jets,.

Deep reinforcement learning for separation control in turbulent wind-tunnel flow Vortex rings produced by non-parallel planar starting jets,

Reference 41

Resolution: verified exact; doi, observed 2026-08-12T16:37:19.586978Z

Source-reported events for the cited work

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

Observation 7342313b-153f-4d28-a741-87c27778cef4 · outbound

This paper cites Velocity ratio effect on flow structures of non-parallel planar starting jets in cross-flow,.

Deep reinforcement learning for separation control in turbulent wind-tunnel flow Velocity ratio effect on flow structures of non-parallel planar starting jets in cross-flow,

Reference 42

Resolution: verified exact; doi, observed 2026-08-12T16:37:19.571822Z

Source-reported events for the cited work

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

Observation a535429a-1cc6-4169-9fb8-11c0abe350e5 · outbound

This paper cites Simulation and Testing of a MEMS Calorimetric Shear-Stress Sensor,.

Deep reinforcement learning for separation control in turbulent wind-tunnel flow Simulation and Testing of a MEMS Calorimetric Shear-Stress Sensor,

Reference 43

Resolution: verified exact; doi, observed 2026-08-12T16:37:19.557156Z

Source-reported events for the cited work

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

Observation b7af9a80-faba-4556-b2c6-b178d3b903c6 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Deep reinforcement learning for separation control in turbulent wind-tunnel flow Proximal Policy Optimization Algorithms

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-12T16:37:19.473205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ebd83217-3f96-4e40-9df8-232af68762bf · outbound

This paper cites AFC_with_PPO,.

Deep reinforcement learning for separation control in turbulent wind-tunnel flow AFC_with_PPO,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:37:20.122571Z

Source-reported events for the cited work

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

Observation e5059bab-6096-48cd-970f-efcce1900337 · outbound

This paper cites Actor-Critic Algorithms,.

Deep reinforcement learning for separation control in turbulent wind-tunnel flow Actor-Critic Algorithms,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:37:20.107018Z

Source-reported events for the cited work

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

Observation 1c8824c1-c7a3-4f07-8382-87707cbbed6a · outbound

This paper cites Deep reinforcement learning for turbulent drag reduction in channel flows,.

Deep reinforcement learning for separation control in turbulent wind-tunnel flow Deep reinforcement learning for turbulent drag reduction in channel flows,

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-12T16:37:19.486665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3891d702-b620-4633-a616-36e4f07a00df · outbound

This paper cites OptimizingPulsedBlowingParametersforActiveSeparationControlina One-SidedDiffuserUsingReinforcementLearning,.

Deep reinforcement learning for separation control in turbulent wind-tunnel flow OptimizingPulsedBlowingParametersforActiveSeparationControlina One-SidedDiffuserUsingReinforcementLearning,

Reference 48

Resolution: verified exact; doi, observed 2026-08-12T16:37:19.531345Z

Source-reported events for the cited work

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

Observation f4c96ceb-d736-43a3-8e4f-f08d783dd571 · outbound

This paper cites Proximal Policy Optimization,.

Deep reinforcement learning for separation control in turbulent wind-tunnel flow Proximal Policy Optimization,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:37:20.092163Z

Source-reported events for the cited work

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

Coverage vector

Reference resolution

Outbound references

Pith citing papers