Anomalous Decision Discovery using Inverse Reinforcement Learning | Paper Citation Record

Observation dca75b93-edfc-4751-9128-c234fd8a16f2 · outbound

This paper cites Systematic literature review: Anomaly detection in connected and autonomous vehicles,.

Anomalous Decision Discovery using Inverse Reinforcement Learning Systematic literature review: Anomaly detection in connected and autonomous vehicles,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:52:02.839415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 12f59924-f8de-43b8-bf00-ea62e602ad66 · outbound

This paper cites On evaluating black-box explainable ai methods for enhancing anomaly detection in autonomous driving systems,.

Anomalous Decision Discovery using Inverse Reinforcement Learning On evaluating black-box explainable ai methods for enhancing anomaly detection in autonomous driving systems,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:52:02.825650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cc2c3574-1447-41c6-84af-c34584d7c8d0 · outbound

This paper cites Anomaly detection in autonomous driving: A survey,.

Anomalous Decision Discovery using Inverse Reinforcement Learning Anomaly detection in autonomous driving: A survey,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T19:51:54.793786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66c928e3-0a4c-42b0-986b-53a75bcd968b · outbound

This paper cites Outlier-robust inverse reinforcement learning and reward-based detec- tion of anomalous driving behaviors,.

Anomalous Decision Discovery using Inverse Reinforcement Learning Outlier-robust inverse reinforcement learning and reward-based detec- tion of anomalous driving behaviors,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:52:02.802806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b9b25c6f-85dd-4ce0-a87f-fdbcd590b820 · outbound

This paper cites Sensor data based anomaly detection in autonomous vehicles using modified convolutional neural network.

Anomalous Decision Discovery using Inverse Reinforcement Learning Sensor data based anomaly detection in autonomous vehicles using modified convolutional neural network

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:52:02.788846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation bde912d6-3c31-477f-bfc8-6849cc6a517b · outbound

This paper cites Machine learning- based real-time anomaly detection using data pre-processing in the telemetry of server farms,.

Anomalous Decision Discovery using Inverse Reinforcement Learning Machine learning- based real-time anomaly detection using data pre-processing in the telemetry of server farms,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:52:02.775563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a8f28002-92d8-4b42-87d9-980649df3f98 · outbound

This paper cites Introduction to anomaly detection,.

Anomalous Decision Discovery using Inverse Reinforcement Learning Introduction to anomaly detection,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:52:02.760854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e4fc8920-724c-4ead-a22c-c443f4b41266 · outbound

This paper cites Anomaly detection in connected and autonomous vehicle trajectories using lstm autoencoder and gaussian mixture model,.

Anomalous Decision Discovery using Inverse Reinforcement Learning Anomaly detection in connected and autonomous vehicle trajectories using lstm autoencoder and gaussian mixture model,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:52:02.745494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9a2a8885-8e52-423d-8814-561d9bcb4299 · outbound

This paper cites Sequential anomaly detection using inverse reinforcement learning,.

Anomalous Decision Discovery using Inverse Reinforcement Learning Sequential anomaly detection using inverse reinforcement learning,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:52:02.731545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 61799466-026c-4be6-9d3d-7b53bbf4eb41 · outbound

This paper cites Metadrive: Composing diverse driving scenarios for generalizable reinforcement learning,.

Anomalous Decision Discovery using Inverse Reinforcement Learning Metadrive: Composing diverse driving scenarios for generalizable reinforcement learning,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:52:02.716437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 08677221-2b65-43d6-b3b6-1ac60e07e66a · outbound

This paper cites Outlier detection by active learning,.

Anomalous Decision Discovery using Inverse Reinforcement Learning Outlier detection by active learning,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:52:02.701095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fc8ff844-2515-4cfd-8fbb-35b84b45f7fe · outbound

This paper cites Neural batch sampling with reinforcement learning for semi-supervised anomaly detection,.

Anomalous Decision Discovery using Inverse Reinforcement Learning Neural batch sampling with reinforcement learning for semi-supervised anomaly detection,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:52:02.686684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 29a1789e-5864-40f4-a4a5-5b69af222f94 · outbound

This paper cites Dolphin: An efficient algorithm for mining distance-based outliers in very large datasets,.

Anomalous Decision Discovery using Inverse Reinforcement Learning Dolphin: An efficient algorithm for mining distance-based outliers in very large datasets,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:52:02.657708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation af0d9a0a-01ce-4671-b672-834c2db97be5 · outbound

This paper cites Distance-based outliers: algorithms and applications,.

Anomalous Decision Discovery using Inverse Reinforcement Learning Distance-based outliers: algorithms and applications,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:52:02.276215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8b879e11-16a7-446d-8ad2-09ca0d0923c1 · outbound

This paper cites Realnet: A feature selection network with realistic synthetic anomaly for anomaly detection,.

Anomalous Decision Discovery using Inverse Reinforcement Learning Realnet: A feature selection network with realistic synthetic anomaly for anomaly detection,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:52:01.974936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation dd053cc8-58c7-4822-b03e-b1e473fd638a · outbound

This paper cites Lof: identifying density-based local outliers,.

Anomalous Decision Discovery using Inverse Reinforcement Learning Lof: identifying density-based local outliers,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T19:51:55.740971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d5d4740-60e6-4984-a11a-21ae6c357557 · outbound

This paper cites Anomaly detection using local kernel density estimation and context-based regression,.

Anomalous Decision Discovery using Inverse Reinforcement Learning Anomaly detection using local kernel density estimation and context-based regression,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:52:01.630834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 063436d4-c97c-46b5-84d5-29326d29da57 · outbound

This paper cites Bootstrap Fine-Grained Vision-Language Alignment for Unified Zero-Shot Anomaly Localization.

Anomalous Decision Discovery using Inverse Reinforcement Learning Bootstrap Fine-Grained Vision-Language Alignment for Unified Zero-Shot Anomaly Localization

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T19:51:55.913470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58585494-753e-491d-81aa-0f4a6d28483b · outbound

This paper cites Discovering cluster-based local outliers,.

Anomalous Decision Discovery using Inverse Reinforcement Learning Discovering cluster-based local outliers,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T19:51:55.992108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c51ef1f-4847-4e8a-83fb-31d60f04c18f · outbound

This paper cites Isolation forest,.

Anomalous Decision Discovery using Inverse Reinforcement Learning Isolation forest,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T19:51:56.099665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e56f471-e5d7-4aea-bfb4-c493ef27ef32 · outbound

This paper cites Guided cost learning: Deep inverse optimal control via policy optimization,.

Anomalous Decision Discovery using Inverse Reinforcement Learning Guided cost learning: Deep inverse optimal control via policy optimization,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:52:01.494173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2587af8c-79ba-4856-a69b-ed501b15ff01 · outbound

This paper cites Anomaly detection and correction of optimizing autonomous systems with inverse reinforcement learning,.

Anomalous Decision Discovery using Inverse Reinforcement Learning Anomaly detection and correction of optimizing autonomous systems with inverse reinforcement learning,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:52:01.386732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6cb214b3-9842-4b0d-81a3-b75722c744c3 · outbound

This paper cites AnoVox: A Benchmark for Multimodal Anomaly Detection in Autonomous Driving.

Anomalous Decision Discovery using Inverse Reinforcement Learning AnoVox: A Benchmark for Multimodal Anomaly Detection in Autonomous Driving

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T19:51:56.510037Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8f882b4-c2a8-4ab7-9806-4b5ed941f4da · outbound

This paper cites Modernisation of carla - can we define the what, and how and where?.

Anomalous Decision Discovery using Inverse Reinforcement Learning Modernisation of carla - can we define the what, and how and where?

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:52:01.252833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 86acf290-798e-4990-9fc5-240ff954919e · outbound

This paper cites Detecting anomalies in semantic segmentation with prototypes,.

Anomalous Decision Discovery using Inverse Reinforcement Learning Detecting anomalies in semantic segmentation with prototypes,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:52:01.109599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 30d25551-80b6-4321-8318-3e3718b28325 · outbound

This paper cites Augmenting anomaly detection for autonomous vehicles with symbolic rules,.

Anomalous Decision Discovery using Inverse Reinforcement Learning Augmenting anomaly detection for autonomous vehicles with symbolic rules,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:52:00.988552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2294bc39-9c8d-4ba7-929c-35d64dcf0c52 · outbound

This paper cites Over-the-air: How we remotely compromised the gateway, bcm, and autopilot ecus of tesla cars,.

Anomalous Decision Discovery using Inverse Reinforcement Learning Over-the-air: How we remotely compromised the gateway, bcm, and autopilot ecus of tesla cars,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:52:00.874593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 828a2344-fdc4-4e5c-a1dc-5508dde598b9 · outbound

This paper cites Free-fall: Hacking tesla from wireless to can bus,.

Anomalous Decision Discovery using Inverse Reinforcement Learning Free-fall: Hacking tesla from wireless to can bus,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:52:00.759373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 28f32057-081c-4e02-a975-b641dbfc4d8f · outbound

This paper cites Orads: One class rule-based anomaly detection system in autonomous vehicles,.

Anomalous Decision Discovery using Inverse Reinforcement Learning Orads: One class rule-based anomaly detection system in autonomous vehicles,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:52:00.639699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 88ae22dc-5271-49bf-bb71-89a79d786613 · outbound

This paper cites An association rules-based approach for anomaly detection on can-bus,.

Anomalous Decision Discovery using Inverse Reinforcement Learning An association rules-based approach for anomaly detection on can-bus,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:52:00.525217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0fcc518e-8739-46a6-9964-1476cfb98755 · outbound

This paper cites Sce- narionet: Open-source platform for large-scale traffic scenario simulation and modeling,.

Anomalous Decision Discovery using Inverse Reinforcement Learning Sce- narionet: Open-source platform for large-scale traffic scenario simulation and modeling,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:52:00.417664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c1d4013e-3807-4a06-9135-a99095f3141e · outbound

This paper cites Standards for passenger comfort in automated vehicles: Acceleration and jerk,.

Anomalous Decision Discovery using Inverse Reinforcement Learning Standards for passenger comfort in automated vehicles: Acceleration and jerk,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:52:00.311788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f4708d05-2d04-4913-9547-311699d94bef · outbound

This paper cites Maximum entropy inverse reinforcement learning.

Anomalous Decision Discovery using Inverse Reinforcement Learning Maximum entropy inverse reinforcement learning

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T19:51:57.367018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d573c10f-0ad4-4a40-9d44-139ed7650fd3 · outbound

This paper cites Extrapolating beyond suboptimal demonstrations via inverse reinforcement learning from observations,.

Anomalous Decision Discovery using Inverse Reinforcement Learning Extrapolating beyond suboptimal demonstrations via inverse reinforcement learning from observations,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T19:51:57.417194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27eaff30-15a0-4801-8648-eb7ceb2ae5f9 · outbound

This paper cites DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter.

Anomalous Decision Discovery using Inverse Reinforcement Learning DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T19:51:57.482390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ee1b981-c233-42f0-8bfb-a0bab6a015e4 · outbound

This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding,.

Anomalous Decision Discovery using Inverse Reinforcement Learning Bert: Pre-training of deep bidirectional transformers for language understanding,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T19:51:57.530435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c48d3016-4c36-454a-b4f8-f0bb7b34801b · outbound

This paper cites Receding horizon control of nonlinear systems,.

Anomalous Decision Discovery using Inverse Reinforcement Learning Receding horizon control of nonlinear systems,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:52:00.140476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1dca1195-bd3b-49b8-ae03-ae9ac5e08f2c · outbound

This paper cites An optimization-based receding horizon trajectory planning algorithm,.

Anomalous Decision Discovery using Inverse Reinforcement Learning An optimization-based receding horizon trajectory planning algorithm,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:52:00.023505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 492b77b4-75fc-4bfc-afa5-89a83ed884f0 · outbound

This paper cites Efficient driving with automated and connected vehicles algorithms, microsimulations, and cyber-physical experiments,.

Anomalous Decision Discovery using Inverse Reinforcement Learning Efficient driving with automated and connected vehicles algorithms, microsimulations, and cyber-physical experiments,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:51:59.915607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 33c45bac-8dbd-4aba-8c49-8a48e7b69936 · outbound

This paper cites One-class svms for document clas- sification,.

Anomalous Decision Discovery using Inverse Reinforcement Learning One-class svms for document clas- sification,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:51:59.756899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f653e06a-cfe7-46de-afe0-d66c3a40b101 · outbound

This paper cites Long short-term memory,.

Anomalous Decision Discovery using Inverse Reinforcement Learning Long short-term memory,

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T19:51:57.897137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47abfd69-7430-49c1-8ea7-cdbf3b22e7fc · outbound

This paper cites Induction of decision trees,.

Anomalous Decision Discovery using Inverse Reinforcement Learning Induction of decision trees,

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-06T19:51:57.963731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55880e67-3edc-4eae-8b16-c280a13a5c4b · outbound

This paper cites Supervised autoencoders: Improving generalization performance with unsupervised regularizers,.

Anomalous Decision Discovery using Inverse Reinforcement Learning Supervised autoencoders: Improving generalization performance with unsupervised regularizers,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:51:59.581351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0c1fe5d9-fd7f-43ac-bea2-f5de3daccc66 · outbound

This paper cites an unresolved cited work.

Anomalous Decision Discovery using Inverse Reinforcement Learning Unresolved cited work

Reference 44

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:51:59.414129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 79c99ae1-043c-4e08-9ecc-b2001156cff4 · outbound

This paper cites A methodology to model the rain and fog effect on the performance of automotive lidar sensors,.

Anomalous Decision Discovery using Inverse Reinforcement Learning A methodology to model the rain and fog effect on the performance of automotive lidar sensors,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:51:59.238686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 388b9204-a559-4c67-b700-04e500a2c893 · outbound

This paper cites Predicting the influence of rain on lidar in adas,.

Anomalous Decision Discovery using Inverse Reinforcement Learning Predicting the influence of rain on lidar in adas,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:51:59.056460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5abb92fd-26b7-4399-85e3-fa4dd04ca0c7 · outbound

This paper cites Lidar data noise models and methodology for sim-to-real domain generalization and adaptation in autonomous driving perception,.

Anomalous Decision Discovery using Inverse Reinforcement Learning Lidar data noise models and methodology for sim-to-real domain generalization and adaptation in autonomous driving perception,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:51:58.910455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6ca3f368-71c5-42fa-bee3-5f940d035afe · outbound

This paper cites Dlp ® dmd technology : Lidar ambient light reduction,.

Anomalous Decision Discovery using Inverse Reinforcement Learning Dlp ® dmd technology : Lidar ambient light reduction,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:51:58.740241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 338f5af8-d6c5-4107-acbc-8e5b81f231bc · outbound

This paper cites Learning to drop points for lidar scan synthesis,.

Anomalous Decision Discovery using Inverse Reinforcement Learning Learning to drop points for lidar scan synthesis,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:51:58.560646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers