Pith. sign in

Paper Citation Record · LEDGER

Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach

As of 16 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 0 inbound Pith citation observations for arXiv:2510.09041.

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

pith.paper-citation-record.v1
2510.09041 v3

Coverage vector

measured 60 of 60 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T10:43:05.860760Z

measured 60 of 60 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

60 of 60 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved60
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ad9fc469-e5de-4d54-b889-8dcd77f960a1 · outbound

This paper cites A survey of autonomous driving from a deep learning perspective,.

Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach A survey of autonomous driving from a deep learning perspective,

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-04T10:43:05.678256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:43:05.678256Z digest=sha256:31378b34e7471ee905eef46652458f5e51cf6fabd2da171edb517a0b38cf2fd8

Observation b4d90ad7-0c97-4614-8337-edbf36e475fa · outbound

This paper cites Sparsedrive: End-to-end autonomous driving via sparse scene representation,.

Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Sparsedrive: End-to-end autonomous driving via sparse scene representation,

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-04T10:43:05.682854Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:43:05.682854Z digest=sha256:1bdcd9b2a719808c390baf520ef9b597cbf0abf0c1479c31e83a9b178032d96e

Observation 0b3a7cc5-82fd-4483-958e-a33b9e2955f5 · outbound

This paper cites Embodied ai-enhanced vehicular networks: An integrated vision language models and reinforcement learning method,.

Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Embodied ai-enhanced vehicular networks: An integrated vision language models and reinforcement learning method,

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-04T10:43:05.686090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:43:05.686090Z digest=sha256:41bdfb65daf5d281c460f4ce4dd1623311920115280e350a5a83334084b4e369

Observation abc32772-4b13-48e0-9499-a4032a6444db · outbound

This paper cites Deepseek-r1 incentivizes reasoning in llms through reinforcement learning,.

Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Deepseek-r1 incentivizes reasoning in llms through reinforcement learning,

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-04T10:43:05.689191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:43:05.689191Z digest=sha256:31051c3781e4dc69cb88e4b71ad3bb6482886db266a2b8e560bb4a01637dd50a

Observation c4856466-bf2d-4d1c-a707-731e0fc9687f · outbound

This paper cites A Survey on Recent Advancements in Autonomous Driving Using Deep Reinforce- ment Learning: Applications, Challenges, and Solutions,.

Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach A Survey on Recent Advancements in Autonomous Driving Using Deep Reinforce- ment Learning: Applications, Challenges, and Solutions,

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-04T10:43:05.692289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:43:05.692289Z digest=sha256:25a23bd615e858701e64bd7e03d19e42f9e6df7d8aa8e2e8cc96107552e0b861

Observation 0bb837a2-bb1d-4467-8e6a-e3bb94d406ba · outbound

This paper cites Self-Learned Autonomous Driving at Unsignalized Intersections: A Hierarchical Reinforced Learning Approach for Feasible Decision-Making,.

Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Self-Learned Autonomous Driving at Unsignalized Intersections: A Hierarchical Reinforced Learning Approach for Feasible Decision-Making,

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-04T10:43:05.695766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:43:05.695766Z digest=sha256:1f6f1763ade138467c46ffd6cc2aa1e3eabe514bbbb2a4c91b7691f79771a296

Observation 73915fc6-2851-476b-9bd3-addb1a06159b · outbound

This paper cites Integration of planning and deep reinforcement learning in speed and lane change decision-making for highway autonomous driving,.

Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Integration of planning and deep reinforcement learning in speed and lane change decision-making for highway autonomous driving,

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-04T10:43:05.699157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:43:05.699157Z digest=sha256:a7819e0af0506670cd70f358e403fa68ada8c8e3dc2890e74e571dfe0e259f21

Observation 8175164c-22e1-4de5-8f1b-37b2cf083460 · outbound

This paper cites Highway autonomous vehicle decision-making method based on prior knowledge and improved ex- perience replay reinforcement learning algorithm,.

Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Highway autonomous vehicle decision-making method based on prior knowledge and improved ex- perience replay reinforcement learning algorithm,

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-04T10:43:05.702211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:43:05.702211Z digest=sha256:63f09cdf4a68e5a80a45948e074677fb778b96c4a7c7b40415f897136b89572e

Observation 15e1e7e7-2f5b-4bd7-aa55-f52aa5aa66fd · outbound

This paper cites Reinforcement Learning- Based Multi-Lane Cooperative Control for On-Ramp Merging in Mixed- Autonomy Traffic,.

Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Reinforcement Learning- Based Multi-Lane Cooperative Control for On-Ramp Merging in Mixed- Autonomy Traffic,

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-04T10:43:05.704994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:43:05.704994Z digest=sha256:0a2cdb77e5174a601ea185f0db6daf158176b6619d3a6196368fef1f1b1b4a59

Observation a219f061-ab5f-4fc0-915b-3b30a1acdff6 · outbound

This paper cites On-Ramp Merging for Highway Autonomous Driving: An Application of a New Safety Indicator in Deep Reinforcement Learning,.

Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach On-Ramp Merging for Highway Autonomous Driving: An Application of a New Safety Indicator in Deep Reinforcement Learning,

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-04T10:43:05.708054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:43:05.708054Z digest=sha256:c35480f0d3084a8e4dd33b4c572010c7de10e95ad40ebba19c7bce194d299443

Observation 4893821c-4336-47ba-9079-f82d13078470 · outbound

This paper cites Ensemble Quantile Networks: Uncertainty-Aware Reinforcement Learning with Applications in Au- tonomous Driving,.

Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Ensemble Quantile Networks: Uncertainty-Aware Reinforcement Learning with Applications in Au- tonomous Driving,

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-04T10:43:05.710884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:43:05.710884Z digest=sha256:f9456c5dd4e5b8cbd12897d2960337274f956a3a8db832490bd4a6f78f20123f

Observation 1e30d924-a57c-4042-9f9c-557cc09dfc26 · outbound

This paper cites Predictive trajectory planning for autonomous vehicles at intersections using reinforcement learning,.

Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Predictive trajectory planning for autonomous vehicles at intersections using reinforcement learning,

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-04T10:43:05.713710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:43:05.713710Z digest=sha256:678d176acf133a7f4a3c8f8e37a27ebb2acca48c3c3ce31c41bf5a94dc08efb8

Observation ab2b7066-3075-4646-bb89-a7aea44df67f · outbound

This paper cites Human as ai mentor: En- hanced human-in-the-loop reinforcement learning for safe and efficient autonomous driving,.

Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Human as ai mentor: En- hanced human-in-the-loop reinforcement learning for safe and efficient autonomous driving,

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-04T10:43:05.716978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:43:05.716978Z digest=sha256:4caa4cfe60332c1f8d2e257762c2e5d531ca148f6556caddc0aa4940b4947892

Observation f14ae427-0eaf-4f3d-ad9a-62e2492084a3 · outbound

This paper cites Decision-making of autonomous vehicles in interactions with jaywalk- ers: A risk-aware deep reinforcement learning approach,.

Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Decision-making of autonomous vehicles in interactions with jaywalk- ers: A risk-aware deep reinforcement learning approach,

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-04T10:43:05.719552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:43:05.719552Z digest=sha256:4762f1fbb049215ebb3a4ef429f19c7188d15665239df9b94ebff84071f6a4c8

Observation 3b233485-3387-4118-99e5-3fd849e2bf88 · outbound

This paper cites Uncertainty quantification for safe and reliable autonomous vehicles: A review of methods and applications,.

Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Uncertainty quantification for safe and reliable autonomous vehicles: A review of methods and applications,

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-04T10:43:05.722354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:43:05.722354Z digest=sha256:33e33b0b94d3c40be7b9a2e9b7a4f51ff3029d261e782419c616ef7b189da817

Observation 479049f2-0a1c-40d4-8b79-7543e582ec72 · outbound

This paper cites Seeing is not believing: Robust reinforcement learning against spurious correlation,.

Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Seeing is not believing: Robust reinforcement learning against spurious correlation,

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-04T10:43:05.725077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:43:05.725077Z digest=sha256:ad1bed2ebbec68b6be83aecc4d4694489d1283fc12b53805ab18a6e74f955e6c

Observation d35550b5-c91f-4e11-8e68-4271d9e583a0 · outbound

This paper cites Adversarial Machine Learning Attacks and Defences in Multi-Agent Reinforcement Learning,.

Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Adversarial Machine Learning Attacks and Defences in Multi-Agent Reinforcement Learning,

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-04T10:43:05.727852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:43:05.727852Z digest=sha256:449a981143d63d1f42419503dea98fa9554c5dfa0109f02ffebc94b5a2582b6c

Observation 7e87388b-3d36-4dd8-b891-c3a48ce72d77 · outbound

This paper cites Less is More: A Stealthy and Efficient Adversarial Attack Method for DRL-based Autonomous Driving Policies.

Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Less is More: A Stealthy and Efficient Adversarial Attack Method for DRL-based Autonomous Driving Policies

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-04T10:43:05.730568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:43:05.730568Z digest=sha256:3e64be90a0d36e601a8af4f0704ae92cf79523ab5a867f9d44ffad5359fec493

Observation 7de911d0-8f6b-41c4-b55c-78778fdcb410 · outbound

This paper cites Enhancing cyber-resilience in integrated energy system scheduling with demand response using deep reinforcement learning,.

Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Enhancing cyber-resilience in integrated energy system scheduling with demand response using deep reinforcement learning,

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-04T10:43:05.733655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:43:05.733655Z digest=sha256:3b473b06d7d6384201800c4223ee8ff47d40788389dd9765ff781c3baa8b60fd

Observation 86802578-847e-4774-b21a-f9f5966e678f · outbound

This paper cites Adversarial training with anti- adversaries,.

Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Adversarial training with anti- adversaries,

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-04T10:43:05.736899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:43:05.736899Z digest=sha256:80858c91517eaadd6763f85fcb0f392394395d7f005d44c9f28379ec8338e4f8

Observation 7c6f2bbb-c7b0-4d92-89a8-aff79accc0f5 · outbound

This paper cites Robust Decision Making for Au- tonomous Vehicles at Highway On-Ramps: A Constrained Adversarial Reinforcement Learning Approach,.

Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Robust Decision Making for Au- tonomous Vehicles at Highway On-Ramps: A Constrained Adversarial Reinforcement Learning Approach,

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-04T10:43:05.739753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:43:05.739753Z digest=sha256:0b359afc3169fd3774b8da76b816a0ba634f8c04386318d3d1fd340e56a0788f

Observation 4f57a9bb-ddba-4704-b573-9e6f3571ea81 · outbound

This paper cites Robust lane change decision for autonomous vehicles in mixed traffic: A safety-aware multi- agent adversarial reinforcement learning approach,.

Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Robust lane change decision for autonomous vehicles in mixed traffic: A safety-aware multi- agent adversarial reinforcement learning approach,

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-04T10:43:05.742435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:43:05.742435Z digest=sha256:022d9cada86579f9bc40e45c56df8bdc61b5e71657629fcf68e7ce55a2a1456d

Observation b2a6d607-0ec3-4ba4-98fe-a3af010495bc · outbound

This paper cites Robust Training in Multiagent Deep Reinforcement Learning Against Optimal JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2021 12 Adversary,.

Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Robust Training in Multiagent Deep Reinforcement Learning Against Optimal JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2021 12 Adversary,

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-04T10:43:05.745038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:43:05.745038Z digest=sha256:4acc9154e2783ddac4b7316d86a9351ef28a352e3d9458106b7d5f348567a667

Observation 5104edf5-0017-4bf2-a127-46acfbe3018b · outbound

This paper cites Rat: Adversarial attacks on deep reinforcement agents for targeted behaviors,.

Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Rat: Adversarial attacks on deep reinforcement agents for targeted behaviors,

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-04T10:43:05.747890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:43:05.747890Z digest=sha256:6a1d9b073f33e3426ac1be3a726c89de7f1de60d3389a8f828a53132c9705708

Observation 71e82db3-39aa-488e-8702-320f73448113 · outbound

This paper cites Robust Lane Change Decision Making for Autonomous Vehicles: An Observation Adversarial Rein- forcement Learning Approach,.

Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Robust Lane Change Decision Making for Autonomous Vehicles: An Observation Adversarial Rein- forcement Learning Approach,

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-04T10:43:05.751064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:43:05.751064Z digest=sha256:224b365f6eab7c782aae98df4acf526ae6755fc0defe9b33d32b331e16ae3134

Observation 1bc6e9a4-aa35-4388-8a66-824f9e441124 · outbound

This paper cites Explainable Deep Adversarial Reinforcement Learning Approach for Robust Autonomous Driving,.

Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Explainable Deep Adversarial Reinforcement Learning Approach for Robust Autonomous Driving,

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-04T10:43:05.753881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:43:05.753881Z digest=sha256:613782ef87c1f5c7bc7cdb57932b4140d25a090bc247c09e88ce2da3ebf850f5

Observation 3cb5b00e-f22a-452a-852d-13dc0c91e774 · outbound

This paper cites Trustworthy autonomous driving via defense-aware robust reinforcement learning against worst-case obser- vational perturbations,.

Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Trustworthy autonomous driving via defense-aware robust reinforcement learning against worst-case obser- vational perturbations,

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-04T10:43:05.756575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:43:05.756575Z digest=sha256:9366c3b772ffeffa908942d668e7bc95cea95af39db638b21d1f7eb6493a9516

Observation e7c0ef17-224c-4e7a-83e6-a997bd3487a2 · outbound

This paper cites Improved ro- bustness and safety for autonomous vehicle control with adversarial reinforcement learning,.

Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Improved ro- bustness and safety for autonomous vehicle control with adversarial reinforcement learning,

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-04T10:43:05.759685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:43:05.759685Z digest=sha256:1f6325b99918ebc9529e97cd5dc73fd03ea04239d98bb18eeee2d69825f9edb0

Observation 9569baec-74ba-4b9f-9324-b4289b9ed6d6 · outbound

This paper cites CAT: Closed-loop Adversarial Training for Safe End-to-End Driving,.

Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach CAT: Closed-loop Adversarial Training for Safe End-to-End Driving,

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-04T10:43:05.762393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:43:05.762393Z digest=sha256:94c6f15743ea50753da1f6e5c3b4338f7de9dc081e71095893de15ee76658aa7

Observation e7546e38-5108-44ed-a2f9-c312df1f3e00 · outbound

This paper cites Adversarial Stress Test for Autonomous Vehicle Via Series Reinforcement Learning Tasks With Reward Shaping,.

Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Adversarial Stress Test for Autonomous Vehicle Via Series Reinforcement Learning Tasks With Reward Shaping,

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-04T10:43:05.765097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:43:05.765097Z digest=sha256:e414da3fb85592f3b960b2a78294cfd3ad0b2fe87357572ad1854011c54fe8ff

Observation 5771a3e1-a7bc-4d98-8f7e-df7b12372ee7 · outbound

This paper cites Targeted Attack on Deep RL-based Autonomous Driving with Learned Visual Patterns,.

Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Targeted Attack on Deep RL-based Autonomous Driving with Learned Visual Patterns,

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-04T10:43:05.768028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:43:05.768028Z digest=sha256:7a9c85689f24a6be6d64402c5718987e3a53dffa5cfa05bec33039280523baa0

Observation 85e34d1b-2cd7-40f5-9a35-036ce5b8469a · outbound

This paper cites Dynamic Adversarial Attacks on Autonomous Driving Systems,.

Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Dynamic Adversarial Attacks on Autonomous Driving Systems,

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-04T10:43:05.770954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:43:05.770954Z digest=sha256:2508d2924b5631a086cd8ee1f2424eb42ac5f96f795d79e89ceeebbb6894b9c0

Observation 95ae24ad-af80-4897-9669-998938547369 · outbound

This paper cites Sharpening the Spear: Adaptive Expert-Guided Adversarial Attack Against DRL-based Autonomous Driving Policies.

Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Sharpening the Spear: Adaptive Expert-Guided Adversarial Attack Against DRL-based Autonomous Driving Policies

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-04T10:43:05.773872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:43:05.773872Z digest=sha256:0a3a31e402246365cc2cec3ed3dd3d53a7f51a4533d0c412059d850376781746

Observation 1d5838ad-31b6-4401-a665-10c6dcb7c5ae · outbound

This paper cites Stealthy and Efficient Adversarial Attacks against Deep Reinforcement Learning,.

Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Stealthy and Efficient Adversarial Attacks against Deep Reinforcement Learning,

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-04T10:43:05.778183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:43:05.778183Z digest=sha256:c4d8823735015a336ae66d8b5384863ea66e51baa9b99a42466d5f2d4a05ab95

Observation a09401ab-ad15-4f09-b960-0f5a841c6536 · outbound

This paper cites Refining the black-box AI optimization with CMA-ES and ORM in the energy management for fuel cell electric vehicles,.

Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Refining the black-box AI optimization with CMA-ES and ORM in the energy management for fuel cell electric vehicles,

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-04T10:43:05.781076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:43:05.781076Z digest=sha256:c4af301341cc9f89f5d56723837ef613607121c04a12006eb761e8afdeca61a3

Observation fd669bf3-4aad-4968-88d5-2037554a2df2 · outbound

This paper cites Toward Trustworthy Decision-Making for Autonomous Vehicles: A Robust Reinforcement Learning Approach with Safety Guarantees,.

Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Toward Trustworthy Decision-Making for Autonomous Vehicles: A Robust Reinforcement Learning Approach with Safety Guarantees,

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-04T10:43:05.784658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:43:05.784658Z digest=sha256:e5f6f7b3af4d5f4c8d0fbe97e2e0e0390e57e114599be2439452090d56aba4a4

Observation 0338d5e1-edd3-43b6-be24-28d7c22fcd21 · outbound

This paper cites Attention-Based Highway Safety Planner for Autonomous Driving via Deep Reinforcement Learning,.

Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Attention-Based Highway Safety Planner for Autonomous Driving via Deep Reinforcement Learning,

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-04T10:43:05.788222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:43:05.788222Z digest=sha256:f6c523a4a08e806f3638e1819a8b38b805f68116f17328cdac68f9d26a28576c

Observation b1526808-da0f-4a6c-b231-4843f4b1809f · outbound

This paper cites Autonomous Driving using Safe Reinforcement Learning by Incorporating a Regret-based Human Lane-Changing Decision Model,.

Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Autonomous Driving using Safe Reinforcement Learning by Incorporating a Regret-based Human Lane-Changing Decision Model,

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-04T10:43:05.792004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:43:05.792004Z digest=sha256:01df2f824b4b47801849b04b25ba7e1493047385158c33f9914a26c0ceac9221

Observation 0d054f4a-adc1-41f6-8fa8-20c1a33a0945 · outbound

This paper cites Trustworthy Human-AI Collab- oration: Reinforcement Learning with Human Feedback and Physics Knowledge for Safe Autonomous Driving,.

Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Trustworthy Human-AI Collab- oration: Reinforcement Learning with Human Feedback and Physics Knowledge for Safe Autonomous Driving,

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-04T10:43:05.795366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:43:05.795366Z digest=sha256:6d2a754480d033390cd9685c03d03f5996095e0c6bf002dab2260e452b845b24

Observation 30c1bf1e-3ab6-466b-b78d-e0e6078996c7 · outbound

This paper cites Human- Guided Deep Reinforcement Learning for Optimal Decision Making of Autonomous Vehicles,.

Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Human- Guided Deep Reinforcement Learning for Optimal Decision Making of Autonomous Vehicles,

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-04T10:43:05.799011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:43:05.799011Z digest=sha256:251ee99b5b2a290542d76bb62ee02c2a8ee37d2d1d18e3381a792450df52a453

Observation 727eee4b-dacd-4900-8e62-5cd00ceb1854 · outbound

This paper cites Large Language Model guided Deep Reinforcement Learning for Decision Making in Autonomous Driving,.

Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Large Language Model guided Deep Reinforcement Learning for Decision Making in Autonomous Driving,

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-04T10:43:05.804751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:43:05.804751Z digest=sha256:44de373c164a39956ed79e2e12adb9172c1a128527a3d064d9e4a974bfa4e78c

Observation c16e0d5b-84f2-4118-ab1c-535d9e3eab5e · outbound

This paper cites Efficient Learning of Safe Driving Policy via Human-AI Copilot Optimization,.

Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Efficient Learning of Safe Driving Policy via Human-AI Copilot Optimization,

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-04T10:43:05.807609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:43:05.807609Z digest=sha256:a7843c58725c5611dce8493125fd0a1fd816ed89ad58525d4b2d589f7868b887

Observation f6fd5530-ea71-417a-9fde-4e919f205fd4 · outbound

This paper cites Optimizing Autonomous Driving for Safety: A Human-Centric Approach with LLM-Enhanced RLHF,.

Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Optimizing Autonomous Driving for Safety: A Human-Centric Approach with LLM-Enhanced RLHF,

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-04T10:43:05.810504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:43:05.810504Z digest=sha256:90d9498506396d5d56b1656cae3108a2c27ca3fa03f3e58022cb55c9b469e9b2

Observation 817ba9f3-54b4-474e-a13e-5f039aa15cfc · outbound

This paper cites Robust Adversarial Reinforcement Learning,.

Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Robust Adversarial Reinforcement Learning,

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-04T10:43:05.813739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:43:05.813739Z digest=sha256:afe4b5fde1330cdbdb43dc16c41af7cc3ef7cb3bc18fadc954ad3ca92dd31d13

Observation 1dbb0565-3969-4c24-bac1-eb1b7b5ec9e6 · outbound

This paper cites Safety-Aware Human-in-the- Loop Reinforcement Learning With Shared Control for Autonomous Driving,.

Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Safety-Aware Human-in-the- Loop Reinforcement Learning With Shared Control for Autonomous Driving,

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-04T10:43:05.817166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:43:05.817166Z digest=sha256:a3da80f2a29bef692928168c24610058e885714cf0e9fea46e3dc87d518b6f81

Observation 914c0148-3596-4f83-aa65-2e24c4b3ea7a · outbound

This paper cites Adversarial examples in the physical world,.

Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Adversarial examples in the physical world,

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-04T10:43:05.820388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:43:05.820388Z digest=sha256:54e77810f7650e8a2eb7196bfca8970d7eb2fad639e9c8c2e0f48e1bf6ae23f1

Observation ffe3bba6-6eab-487c-8c3c-6906aaf9a166 · outbound

This paper cites Mi- croscopic Traffic Simulation using SUMO,.

Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Mi- croscopic Traffic Simulation using SUMO,

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-04T10:43:05.823005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:43:05.823005Z digest=sha256:0db7ffac09ba6a2ad315b2c66554b00ff4b3674200e53f7668fc022040bae198

Observation 396ef2e7-b950-45e4-85d7-dfcce3db578a · outbound

This paper cites Unprotected Left- Turn Behavior Model Capturing Path Variations at Intersections,.

Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Unprotected Left- Turn Behavior Model Capturing Path Variations at Intersections,

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-04T10:43:05.825689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:43:05.825689Z digest=sha256:2354346de955655725c9c9cbf10e2df575605f8b52704e600474055d2c8fa7a0

Observation ee53f210-4c8e-44c7-96f4-b3b2ca1e13f2 · outbound

This paper cites Self-learned autonomous driving at unsignalized intersec- tions: A hierarchical reinforced learning approach for feasible decision- making,.

Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Self-learned autonomous driving at unsignalized intersec- tions: A hierarchical reinforced learning approach for feasible decision- making,

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-04T10:43:05.828211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:43:05.828211Z digest=sha256:4238bfa4c6f2478d4ce48b30525a35071e49aa4dbd08e3f49647bcee20dbc839

Observation fcf6cc33-09e1-49f3-a929-ae645efff83d · outbound

This paper cites Sumo’s lane-changing model,.

Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Sumo’s lane-changing model,

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-04T10:43:05.830811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:43:05.830811Z digest=sha256:e3c032db7ca1839d33700d09076c8c7fe374b267c23c5cfef442f12d95d1fe6a

Observation 53e9e8e2-fd0c-4db9-815a-d90884d3be16 · outbound

This paper cites Proximal Policy Optimization Algorithms,.

Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Proximal Policy Optimization Algorithms,

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-04T10:43:05.836608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:43:05.836608Z digest=sha256:1990931bb6fc376eaa4fa523103f2a346ad2161634e021c4352531a8e16ab366

Observation 9a90185e-906e-40fa-9a2d-40e75ae91e03 · outbound

This paper cites Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor,.

Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor,

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-04T10:43:05.839920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:43:05.839920Z digest=sha256:17e3d8b7133c0cdf38b392f05d8c2c45a9d799679a0aa24477f1cea0a4364615

Observation 4c5ce018-097d-4c16-b858-887863bcdd36 · outbound

This paper cites Addressing Function Approx- imation Error in Actor-Critic Methods,.

Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Addressing Function Approx- imation Error in Actor-Critic Methods,

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-04T10:43:05.842429Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:43:05.842429Z digest=sha256:0559624b2fd892ce6f0dea70f371e7fbcce05cf55fdf62d1e444cb313993be45

Observation 54f4543a-1c90-42c9-b8ae-4a3d64126874 · outbound

This paper cites Energy- Constrained Safe Path Planning for UA V-Assisted Data Collection of Mobile IoT Devices,.

Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Energy- Constrained Safe Path Planning for UA V-Assisted Data Collection of Mobile IoT Devices,

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-04T10:43:05.844897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:43:05.844897Z digest=sha256:e3a8b617d3a737b71d7c583302a981683a4cb143c3869c6a168d4ec0884e1e89

Observation 6a01d394-0318-46a8-82b9-d3b8f764d2c7 · outbound

This paper cites T-td3: A reinforcement learning framework for stable grasping of deformable objects using tactile prior,.

Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach T-td3: A reinforcement learning framework for stable grasping of deformable objects using tactile prior,

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-04T10:43:05.848276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:43:05.848276Z digest=sha256:88c43c714456d7abe804247b07b624775a95c983edbd6e605dd845ff348a16b3

Observation 8c192667-5121-4368-9adf-ded14dea54d9 · outbound

This paper cites Visionary Policy Iteration for Continuous Control,.

Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Visionary Policy Iteration for Continuous Control,

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-04T10:43:05.851008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:43:05.851008Z digest=sha256:14746f25677d70c4c99ec89816f738de6f23a477d6682f295eeac86f803994cc

Observation d85ec567-8854-4f47-aa8e-52a71b4cd06f · outbound

This paper cites Resource allocation for uav-enabled spatio-temporal crowdsourcing in smart cities,.

Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Resource allocation for uav-enabled spatio-temporal crowdsourcing in smart cities,

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-04T10:43:05.854114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:43:05.854114Z digest=sha256:8ab85c369bcdeb3358b0efd07323aea48275abe0cbaabb803c382f8defdc03b4

Observation c1e7e6b8-ebdf-4312-b054-4e4e4fed94a2 · outbound

This paper cites Learning to walk in the real world with minimal human effort,.

Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Learning to walk in the real world with minimal human effort,

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-04T10:43:05.857611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:43:05.857611Z digest=sha256:d5474c765e192c94c6fdd575997eecf130da39f0b8274f775034ad44bf9a4dfe

Observation 26d537b8-eb16-45a3-8bcf-86e20845c558 · outbound

This paper cites Fear-Neuro-Inspired Reinforcement Learning for Safe Autonomous Driving,.

Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Fear-Neuro-Inspired Reinforcement Learning for Safe Autonomous Driving,

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-04T10:43:05.860760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:43:05.860760Z digest=sha256:11af0b8ad559a2c1882343efff4056c43ff985aa24250a525bdc6322115adcab

Observation dfb2f97f-cf5b-4c2e-9dcc-63b442ea8a05 · outbound

This paper cites an unresolved cited work.

Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Unresolved cited work

Reference 2014

Resolution
unresolved
no resolver link, observed 2026-08-04T10:43:05.833798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:43:05.833798Z digest=sha256:ec7880f81e364ca520a808effa46035d35826754f275622d067728c0b1c9103f

Pith citing papers

No inbound Pith citation observations are available.