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Paper Citation Record · LEDGER

Action Space Reduction Strategies for Reinforcement Learning in Autonomous Driving

As of 10 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 2 inbound Pith citation observations for arXiv:2507.05251.

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

pith.paper-citation-record.v1
2507.05251 v1

Coverage vector

measured 56 of 56 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:35:18.236786Z

measured 58 of 58 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T09:43:45.813958Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-04T12:16:13.904932Z

Reference resolution

56 of 56 outbound references displayed

  • verified exact2
  • verified fuzzy51
  • unresolved3
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9fc4fd64-7de0-4799-a444-af4d8e4d4c89 · outbound

This paper cites an unresolved cited work.

Action Space Reduction Strategies for Reinforcement Learning in Autonomous Driving Unresolved cited work

Reference 1

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unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:35:13.442274Z digest=sha256:857eab260cfefc73827bfa3b2f8c17b96ca98a7964fb83e4ec38926090a8b4fd

Observation c1900ad3-64b1-4f45-b219-1360e0c4918f · outbound

This paper cites Common- road: Composable benchmarks for motion planning on roads.

Action Space Reduction Strategies for Reinforcement Learning in Autonomous Driving Common- road: Composable benchmarks for motion planning on roads

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-06T19:35:29.853056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:35:13.521246Z digest=sha256:17ac22ad90cddac2d69ecda6db97d2c9498532d1b3c880375682922a665af8bb

Observation 53adcf0d-b4fb-42a8-87df-0fe2174a49a2 · outbound

This paper cites Reinforced Cur- riculum Learning For Autonomous Driving In Carla.

Action Space Reduction Strategies for Reinforcement Learning in Autonomous Driving Reinforced Cur- riculum Learning For Autonomous Driving In Carla

Reference 3

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verified fuzzy
raw_fallback, observed 2026-08-06T19:35:29.713976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:35:13.624485Z digest=sha256:88ad9569513c403c105b49a199bbaee75c76a44da6be3e828e1e5b4e76d6aad3

Observation 6fd755e0-a064-4e65-8124-3a4e5e157d0d · outbound

This paper cites Traffic Signal Control Using Hybrid Action Space Deep Reinforcement Learning.

Action Space Reduction Strategies for Reinforcement Learning in Autonomous Driving Traffic Signal Control Using Hybrid Action Space Deep Reinforcement Learning

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:35:29.617128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:35:13.699913Z digest=sha256:8659c3c230e417a8127df162c3850a3612c78554998f752405f76f08f50dbab5

Observation 334a5765-4fc9-4553-a2a7-9c035a6370c4 · outbound

This paper cites OpenAI gym.

Action Space Reduction Strategies for Reinforcement Learning in Autonomous Driving OpenAI gym

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-06T19:35:29.532670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:35:13.806563Z digest=sha256:b1c2a0cfe9e2580f26df5e9cba82ed71481c36128af8ee6c326e3a075a93c328

Observation 5fb24d38-05ae-4caf-a0c9-f090ef109464 · outbound

This paper cites GRI: General Reinforced Imitation and its Application to Vision-Based Autonomous Driving, May 2022.

Action Space Reduction Strategies for Reinforcement Learning in Autonomous Driving GRI: General Reinforced Imitation and its Application to Vision-Based Autonomous Driving, May 2022

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:35:29.424861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:35:13.870649Z digest=sha256:ac6570df01dc48017ecf2f1738484cff0cd439ae5985bbab556a5ab654200ba2

Observation 59736d64-fcef-449d-ac90-4d24f2688fcd · outbound

This paper cites Learning to drive from a world on rails, October 2021.

Action Space Reduction Strategies for Reinforcement Learning in Autonomous Driving Learning to drive from a world on rails, October 2021

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:35:29.335035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:35:14.005963Z digest=sha256:3afe0b4e5455edd55bef3365101db37ada0b5f5ec154b7ba4ddb3464e8bc800f

Observation 9dc4f863-806d-4c97-a51d-a7d5c47f4ab9 · outbound

This paper cites Context- Aware Meta-RL With Two-Stage Constrained Adaptation for Urban Driving.

Action Space Reduction Strategies for Reinforcement Learning in Autonomous Driving Context- Aware Meta-RL With Two-Stage Constrained Adaptation for Urban Driving

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:35:29.206796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:35:14.136113Z digest=sha256:3631b2dfc992729fd492ccae52243a1e41d1b1069d0406fc684b6cb0b1944549

Observation 689a04e5-44c6-44d0-88b8-22a0cf0e1cd5 · outbound

This paper cites Context - Enhanced Meta-Reinforcement Learning with Data-Reused Adaptation for Urban Autonomous Driving.

Action Space Reduction Strategies for Reinforcement Learning in Autonomous Driving Context - Enhanced Meta-Reinforcement Learning with Data-Reused Adaptation for Urban Autonomous Driving

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:35:29.126503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:35:14.245983Z digest=sha256:2a46191f1dc46fb7d6a891ba8ea9df55f9feb057be0b944440ab1e548e61a8a6

Observation ffa34a45-ba45-4ba1-8cfa-d3d4138f8b73 · outbound

This paper cites CARLA: An Open Urban Driving Simulator.

Action Space Reduction Strategies for Reinforcement Learning in Autonomous Driving CARLA: An Open Urban Driving Simulator

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:35:29.055142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:35:14.345319Z digest=sha256:15527c2d8a3df4c2e8aa00d318b28ba4da5490763e4c4589f9e642306a043e8e

Observation 149ca7bd-b8c3-428a-b9d4-de4889b9a991 · outbound

This paper cites Deep reinforcement learning in large discrete action spaces.

Action Space Reduction Strategies for Reinforcement Learning in Autonomous Driving Deep reinforcement learning in large discrete action spaces

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:35:28.976461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:35:14.447711Z digest=sha256:e0b2a3c6edf31426f29383fac8427eea59bfcd1d7ac59a63615f7d8cac846047

Observation 99f276d1-200a-42cb-bd4a-05d3f44e7a3e · outbound

This paper cites DQN-based Reinforcement Learning for Vehicle Control of Autonomous Vehicles Interacting With Pedestrians.

Action Space Reduction Strategies for Reinforcement Learning in Autonomous Driving DQN-based Reinforcement Learning for Vehicle Control of Autonomous Vehicles Interacting With Pedestrians

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:35:28.890398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:35:14.558039Z digest=sha256:34c387865439ee897c390274d1fc04d2e71569f69b50baf4a35199a926f94428

Observation 663f4c56-2539-4fe0-8de0-1873ae08e5c4 · outbound

This paper cites Growing Action Spaces, June 2019.

Action Space Reduction Strategies for Reinforcement Learning in Autonomous Driving Growing Action Spaces, June 2019

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:35:28.751579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:35:14.637587Z digest=sha256:df9d576449fa320f8f43ac34ec089f25dfdfc717686c1774662b79486e74991e

Observation b46ce158-6fc0-4b5c-8213-a9785438fccd · outbound

This paper cites Intersection decision making for autonomous vehicles based on improved PPO algorithm.

Action Space Reduction Strategies for Reinforcement Learning in Autonomous Driving Intersection decision making for autonomous vehicles based on improved PPO algorithm

Reference 14

Resolution
verified exact
doi, observed 2026-08-06T19:35:18.393221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:35:14.747612Z digest=sha256:53cca95cd4868c4519350ac1387f3cecd327fc56dc1a1e8c5e4d72f50e16c1f4

Observation f2c2f208-0116-4f94-a753-37087525948f · outbound

This paper cites Interactive fiction games: A colossal adventure.

Action Space Reduction Strategies for Reinforcement Learning in Autonomous Driving Interactive fiction games: A colossal adventure

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:35:28.648965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:35:14.830034Z digest=sha256:91cf48bacd928d53e48d2009663e538efe474ab2caac4806283156d9d7f6720b

Observation 99c252ac-a11f-464b-8646-41672b982707 · outbound

This paper cites Le, and Hartwig Adam.

Action Space Reduction Strategies for Reinforcement Learning in Autonomous Driving Le, and Hartwig Adam

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:35:28.455633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:35:14.903360Z digest=sha256:8506c9cc850451def68040f433031ec3ba5c99d0e9030a4ff4c57304190f6b92

Observation 6c0e69ee-7d55-44c6-9f80-59b39fd7e660 · outbound

This paper cites A closer look at invalid action masking in policy gradient algorithms.

Action Space Reduction Strategies for Reinforcement Learning in Autonomous Driving A closer look at invalid action masking in policy gradient algorithms

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:35:28.242679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:35:15.018125Z digest=sha256:1733542d7aea69b5778e0bbcae1b1c4b180d584fbcb8377a89d527bee6838a74

Observation 5d538448-78ae-4dfb-9936-16531bead1d8 · outbound

This paper cites Safe Reinforcement Learning on Autonomous Vehicles.

Action Space Reduction Strategies for Reinforcement Learning in Autonomous Driving Safe Reinforcement Learning on Autonomous Vehicles

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:35:27.960322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:35:15.119280Z digest=sha256:34463748ee9b93428956d9d82177c6339c1c0094c7feea234971dafae26c1130

Observation f3849438-59b6-42e1-83de-f94a1feca6b4 · outbound

This paper cites Action Space Shaping in Deep Reinforcement Learning, May 2020.

Action Space Reduction Strategies for Reinforcement Learning in Autonomous Driving Action Space Shaping in Deep Reinforcement Learning, May 2020

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:35:27.674671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:35:15.250752Z digest=sha256:5a2f73671e0977d16d733a361eb38c55c9cc946d1a975e1946b6710717848f23

Observation 9bc8423a-2445-4464-863b-4e4244ce7cd7 · outbound

This paper cites ViZDoom: A doom-based AI research platform for visual reinforcement learning.

Action Space Reduction Strategies for Reinforcement Learning in Autonomous Driving ViZDoom: A doom-based AI research platform for visual reinforcement learning

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:35:27.368120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:35:15.337773Z digest=sha256:89cd3d5a845f2fe9eb00049e308e453c53694f9bf83899e7d0bf8a63752378c2

Observation aea4bded-93c0-4b60-9660-0e0fa64d05bb · outbound

This paper cites Learning to Drive in a Day.

Action Space Reduction Strategies for Reinforcement Learning in Autonomous Driving Learning to Drive in a Day

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:35:27.092805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:35:15.409707Z digest=sha256:f665b24091029bfbec96c6d0e1a9777dd73062afd7f9c842cd5743343559dd1a

Observation d0d9bdae-bd92-4acd-baae-0eaf97b79ac9 · outbound

This paper cites Al Sallab, Senthil Yogamani, and Patrick P ´erez.

Action Space Reduction Strategies for Reinforcement Learning in Autonomous Driving Al Sallab, Senthil Yogamani, and Patrick P ´erez

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:35:26.809362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:35:15.491956Z digest=sha256:7dcdc3a814487502dccd1649cf230322b7f82a4b067295a4b8b0ffb79d5a79cf

Observation f02a4db6-d690-4fc5-805c-da61787141c7 · outbound

This paper cites The highD dataset: A drone dataset of naturalistic vehicle trajectories on german highways for validation of highly automated driving systems.

Action Space Reduction Strategies for Reinforcement Learning in Autonomous Driving The highD dataset: A drone dataset of naturalistic vehicle trajectories on german highways for validation of highly automated driving systems

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:35:26.510666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:35:15.558801Z digest=sha256:71f41ae9244e3ccb1debc2394e2055f853482ca6b484f870563bce758d985cb4

Observation 7ad0b9aa-ca5b-4d67-a791-5aa303a2d370 · outbound

This paper cites Safe Rein- forcement Learning for Autonomous Lane Changing Using Set-Based Prediction.

Action Space Reduction Strategies for Reinforcement Learning in Autonomous Driving Safe Rein- forcement Learning for Autonomous Lane Changing Using Set-Based Prediction

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:35:26.278660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:35:15.630752Z digest=sha256:d741706bf76a872d577e4e1457786d01fec79b907bd682321f840e1bd829f3af

Observation db0289f5-b275-475d-988a-74b909036a0b · outbound

This paper cites HyAR: Addressing discrete- continuous action reinforcement learning via hybrid action representa- tion.

Action Space Reduction Strategies for Reinforcement Learning in Autonomous Driving HyAR: Addressing discrete- continuous action reinforcement learning via hybrid action representa- tion

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:35:26.052693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:35:15.710596Z digest=sha256:c414385f1495b80ae11d1b4aeec074e2626cb5c375f2ee7aa9a18372e65f21f5

Observation 65bd2261-1c5d-49b2-812d-c9aecfc4dd66 · outbound

This paper cites Think2Drive: Efficient Reinforcement Learning by Thinking in Latent World Model for Quasi-Realistic Autonomous Driving (in CARLA-v2), July 2024.

Action Space Reduction Strategies for Reinforcement Learning in Autonomous Driving Think2Drive: Efficient Reinforcement Learning by Thinking in Latent World Model for Quasi-Realistic Autonomous Driving (in CARLA-v2), July 2024

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:35:25.758917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:35:15.814516Z digest=sha256:c5740d82a6302be626747d145cf4fafb15db5d9949f54ee03b6a2aa5d19563e2

Observation 0ed34ddc-d396-4fef-b85a-93f64f023e9f · outbound

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

Action Space Reduction Strategies for Reinforcement Learning in Autonomous Driving MetaDrive: Composing diverse driving scenarios for generalizable reinforcement learning

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:35:25.455788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:35:15.886884Z digest=sha256:0367d5fc1279ab4ec671d5f26c445a36c9b09be6625f579e90fca3e726bdba89

Observation 375cd1d9-c71e-4195-94f0-78ee279c5b17 · outbound

This paper cites Achieving sample and computational efficient reinforcement learning by action space reduction via grouping.

Action Space Reduction Strategies for Reinforcement Learning in Autonomous Driving Achieving sample and computational efficient reinforcement learning by action space reduction via grouping

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:35:25.197833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:35:15.982447Z digest=sha256:3623d13f824bc0c21a5d111e240736e4e357d3873944184fbc211b735db9ca07

Observation 44c8e0b2-3c75-49ee-939e-c83a5dcee611 · outbound

This paper cites Achieving Sample and Com- putational Efficient Reinforcement Learning by Action Space Reduction via Grouping, June 2023.

Action Space Reduction Strategies for Reinforcement Learning in Autonomous Driving Achieving Sample and Com- putational Efficient Reinforcement Learning by Action Space Reduction via Grouping, June 2023

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:35:24.949058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:35:16.075874Z digest=sha256:aeafefbf63ec3ff437156f3c34984d272c25ac4d0c09753c161bb1837c431dd7

Observation 76a749f2-12ba-4d56-b0d2-8082b5e5640d · outbound

This paper cites Continuous control with deep reinforcement learning.

Action Space Reduction Strategies for Reinforcement Learning in Autonomous Driving Continuous control with deep reinforcement learning

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-06T19:35:16.155246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:35:16.155246Z digest=sha256:99514d1d2a53bfe64541a6bae6297a60baadfa0fbfccb528ddc59c73750ec0c0

Observation 9fc94ac8-d326-40f5-ac27-16311114e2e9 · outbound

This paper cites Exact Reduction of Huge Action Spaces in General Reinforcement Learning, December 2020.

Action Space Reduction Strategies for Reinforcement Learning in Autonomous Driving Exact Reduction of Huge Action Spaces in General Reinforcement Learning, December 2020

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:35:24.700651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:35:16.225499Z digest=sha256:f220aa88b883538e27add892dda9e458579eae03ef5c3f4295d6f9e5c673a650

Observation 96c4f514-51c7-469d-b405-4c276e8df0fd · outbound

This paper cites Webotstm: Professional mobile robot simulation, 2004.

Action Space Reduction Strategies for Reinforcement Learning in Autonomous Driving Webotstm: Professional mobile robot simulation, 2004

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:35:24.360677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:35:16.294312Z digest=sha256:9357fd37c77561284f16d3f9db32e7b20ca3c6f8c8a1d56304f4814dae7b8c86

Observation f4fd03d3-6e6a-4865-89a8-306030c4c856 · outbound

This paper cites Safe and Psychologically Pleas- ant Traffic Signal Control with Reinforcement Learning using Action Masking.

Action Space Reduction Strategies for Reinforcement Learning in Autonomous Driving Safe and Psychologically Pleas- ant Traffic Signal Control with Reinforcement Learning using Action Masking

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:35:24.075537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:35:16.373175Z digest=sha256:c8bcf8069c98ecfb8f2e586ba1424dbfe21b94c4523332a2aaae244b0c769939

Observation 212c8caa-d03d-4b59-8905-45d12334e313 · outbound

This paper cites Bergasa, Carlos G ´omez-Hu´elamo, Rodrigo Guti ´errez, and Alejandro D ´ıaz-D´ıaz.

Action Space Reduction Strategies for Reinforcement Learning in Autonomous Driving Bergasa, Carlos G ´omez-Hu´elamo, Rodrigo Guti ´errez, and Alejandro D ´ıaz-D´ıaz

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:35:23.787443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:35:16.483722Z digest=sha256:473ab8285671fa96445b885038fe5dd9c1fcdb2657045e1d881cc227d7af7c7d

Observation b826fcc2-c788-4bb1-a2f6-4dcdbf7e4b79 · outbound

This paper cites Stable-baselines3: Reliable reinforcement learning implementations.

Action Space Reduction Strategies for Reinforcement Learning in Autonomous Driving Stable-baselines3: Reliable reinforcement learning implementations

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:35:23.493672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:35:16.568058Z digest=sha256:3c9459b292b29d3f46e3882fddab711eafa1c6f2bdedde73f8bb2c9a600ee65b

Observation 0d295925-6ef8-4bf6-93d3-34659de18bdb · outbound

This paper cites Fuzzy Action-Masked Reinforcement Learning Behav- ior Planning for Highly Automated Driving.

Action Space Reduction Strategies for Reinforcement Learning in Autonomous Driving Fuzzy Action-Masked Reinforcement Learning Behav- ior Planning for Highly Automated Driving

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:35:23.149061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:35:16.638214Z digest=sha256:d413ebe54545956b6457e59f39db98c6aa8930ab6dc46a0c36c716fcf7edd327

Observation 3a5418d4-9ca9-4bfd-bfdd-9be8be64216a · outbound

This paper cites Proximal Policy Optimization Algorithms, August 2017.

Action Space Reduction Strategies for Reinforcement Learning in Autonomous Driving Proximal Policy Optimization Algorithms, August 2017

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:35:22.853825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:35:16.711748Z digest=sha256:f72125322cd0e8ba39a1fcc558146910081e64ff2ebc04086062e0f9b620c510

Observation 18e281a0-e802-4c1f-b258-650a4140d0d9 · outbound

This paper cites Autonomous driving in CARLA using deep reinforcement learning.

Action Space Reduction Strategies for Reinforcement Learning in Autonomous Driving Autonomous driving in CARLA using deep reinforcement learning

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:35:22.583252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:35:16.813469Z digest=sha256:025d7b3f1a562f0a9eb8aa938ad5634843af60f0f46d8d83b814143180cbebb1

Observation 3b577942-8ade-404e-b1f1-21321b7076b9 · outbound

This paper cites Excluding the irrelevant: Focusing reinforcement learning through continuous action masking.

Action Space Reduction Strategies for Reinforcement Learning in Autonomous Driving Excluding the irrelevant: Focusing reinforcement learning through continuous action masking

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:35:22.006831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:35:16.978913Z digest=sha256:f9e050a0fdff165ed5ccebe39dd8c1daa7e2456663e7b8e66b0c07811642f6c5

Observation d0b5efd1-7fbd-4119-a93e-83ce832133f4 · outbound

This paper cites Dynamic Action Space Handling Method for Reinforcement Learning Models.

Action Space Reduction Strategies for Reinforcement Learning in Autonomous Driving Dynamic Action Space Handling Method for Reinforcement Learning Models

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:35:21.780596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:35:17.062317Z digest=sha256:b08bd3dffbdb8aba96cb1baf653a88c867d44234e1373be7ae17634b088a2896

Observation 1973575f-24fe-4150-a094-6280a79cb4f8 · outbound

This paper cites Action Branching Architectures for Deep Reinforcement Learning.

Action Space Reduction Strategies for Reinforcement Learning in Autonomous Driving Action Branching Architectures for Deep Reinforcement Learning

Reference 41

Resolution
verified exact
local_arxiv, observed 2026-08-06T19:35:18.555669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:35:17.156537Z digest=sha256:559bf4ed4cd9dce512c6edff408f59dea3d338058eae550e8db9a0e12193a26d

Observation 5c216267-9c44-40b9-8454-5e19527aa9d5 · outbound

This paper cites Action Branch- ing Architectures for Deep Reinforcement Learning, January 2019.

Action Space Reduction Strategies for Reinforcement Learning in Autonomous Driving Action Branch- ing Architectures for Deep Reinforcement Learning, January 2019

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:35:21.564230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:35:17.231928Z digest=sha256:18163aa6087398c2cbd3bcf6bf843d73d92f7b312d4769f623b01cde20038373

Observation 97820b29-a8d0-4ed4-b318-1590455f929f · outbound

This paper cites End-to-End Model-Free Reinforcement Learning for Urban Driving using Implicit Affordances, March 2020.

Action Space Reduction Strategies for Reinforcement Learning in Autonomous Driving End-to-End Model-Free Reinforcement Learning for Urban Driving using Implicit Affordances, March 2020

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:35:21.309590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:35:17.331281Z digest=sha256:a63c3d9f89d3e783a03cf78ca2fecf9b50b9adaa799e58ad9603ba4303a9e3d3

Observation 319b9b1f-28f5-4a08-b871-066a79d248e5 · outbound

This paper cites Deep Reinforcement Learning With Action Masking for Differential-Drive Robot Navigation Using Low-Cost Sen- sors.

Action Space Reduction Strategies for Reinforcement Learning in Autonomous Driving Deep Reinforcement Learning With Action Masking for Differential-Drive Robot Navigation Using Low-Cost Sen- sors

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:35:21.080173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:35:17.403180Z digest=sha256:b52dad90568df3d4ae1f4b68d627251246a95f3baa90321d6cad6b7777a2c38f

Observation 0ac7ed44-e6cb-42ab-9355-a187a696e8a4 · outbound

This paper cites Pure-past action masking.

Action Space Reduction Strategies for Reinforcement Learning in Autonomous Driving Pure-past action masking

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:35:20.822863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:35:17.482379Z digest=sha256:76647c39075c1ba41e0772e5e55b7981764f1b6a28788812c72d357cc2a8975d

Observation f2f6cb88-32b9-4952-b86a-af956dc6f340 · outbound

This paper cites StarCraft II: A new challenge for reinforcement learning.

Action Space Reduction Strategies for Reinforcement Learning in Autonomous Driving StarCraft II: A new challenge for reinforcement learning

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:35:20.567637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:35:17.585693Z digest=sha256:18c92d207a073ca1af3c8715652599c69bbdbb976b27443696b6d40c93aec951

Observation 0263943c-b9b9-4d00-8401-a96d94806213 · outbound

This paper cites A Versatile and Efficient Reinforcement Learning Framework for Autonomous Driving, March 2022.

Action Space Reduction Strategies for Reinforcement Learning in Autonomous Driving A Versatile and Efficient Reinforcement Learning Framework for Autonomous Driving, March 2022

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:35:20.331689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:35:17.682736Z digest=sha256:d1c91c9c67710358f75b93de0831e5c486adcf9150737117b08b5e9ed1b8b1f2

Observation 6ab01e6b-4ba2-4ad5-a88a-bf3d78533dc9 · outbound

This paper cites Continuous control for automated lane change behavior based on deep deterministic policy gradient algorithm.

Action Space Reduction Strategies for Reinforcement Learning in Autonomous Driving Continuous control for automated lane change behavior based on deep deterministic policy gradient algorithm

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:35:20.083635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:35:17.752763Z digest=sha256:979ec3c54204c3b1c28f089e87fd32fd74e3e4d301ba872fbe9436429aa75e7e

Observation 2ee4d27e-e7ac-4887-810c-3d69c2399e21 · outbound

This paper cites Learning State-Specific Action Masks for Reinforcement Learning.

Action Space Reduction Strategies for Reinforcement Learning in Autonomous Driving Learning State-Specific Action Masks for Reinforcement Learning

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:35:19.804011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:35:17.825011Z digest=sha256:49ab05033e3fcb95d623014e552d2af8ee06aba630b745e09b570d5a573dcf74

Observation 5c3fc09b-326a-459c-9cd5-12c5911dc05f · outbound

This paper cites Reinforce- ment Learning-based Autonomous Parking with Expert Demonstrations.

Action Space Reduction Strategies for Reinforcement Learning in Autonomous Driving Reinforce- ment Learning-based Autonomous Parking with Expert Demonstrations

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:35:19.510879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:35:17.887216Z digest=sha256:22a7c6e3517b52bf66e6c279eb7d4bd9d69bdbfb48cd41069ed2de802cc56162

Observation 145f4dd3-be69-4947-b553-e384636a30e2 · outbound

This paper cites Fuzzy sets, fuzzy logic, and fuzzy systems: selected papers , volume 6.

Action Space Reduction Strategies for Reinforcement Learning in Autonomous Driving Fuzzy sets, fuzzy logic, and fuzzy systems: selected papers , volume 6

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:35:19.297539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:35:17.966481Z digest=sha256:50b00dd9d7ea026b84ab816531eb813146aa9e62087c450942ccc7e4c5961e49

Observation 5ed83298-c693-4d05-a919-43bcf6c19a7f · outbound

This paper cites Mankowitz, and Shie Mannor.

Action Space Reduction Strategies for Reinforcement Learning in Autonomous Driving Mankowitz, and Shie Mannor

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:35:19.082395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:35:18.034084Z digest=sha256:f9f9fd3a47aa1ffee8a14ae8fe024e8e8736d0ab2db384d8d0c594fc076a9808

Observation d0dde9e4-07c7-468c-a605-1d29f20f1d30 · outbound

This paper cites Lexicographic Actor-Critic Deep Reinforcement Learning for Urban Autonomous Driving.

Action Space Reduction Strategies for Reinforcement Learning in Autonomous Driving Lexicographic Actor-Critic Deep Reinforcement Learning for Urban Autonomous Driving

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:35:18.904729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:35:18.084907Z digest=sha256:ef4ac6617c18a21bcf3113d42eb34ab29eb5bbc252a7167fc70a864da8592d2d

Observation e7f801c5-5545-4e84-b6a2-31dc90b26e3c · outbound

This paper cites End-to-End Urban Driving by Imitating a Reinforcement Learning Coach, October 2021.

Action Space Reduction Strategies for Reinforcement Learning in Autonomous Driving End-to-End Urban Driving by Imitating a Reinforcement Learning Coach, October 2021

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:35:18.812416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:35:18.161447Z digest=sha256:b5c6875ff9caead64221842a77d3130d5fccf608e2805981e10bf05ed3dee5fa

Observation 568eaff2-4f33-4dd9-95dd-db46b4859fdc · outbound

This paper cites SMARTS: An open-source scalable multi-agent RL training school for autonomous driving.

Action Space Reduction Strategies for Reinforcement Learning in Autonomous Driving SMARTS: An open-source scalable multi-agent RL training school for autonomous driving

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:35:18.698875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:35:18.236786Z digest=sha256:c5752537391139b9cd024f4f8268e790c6973f60d2da6bbf1cd3c8aa11bca5e6

Observation 4b70ed98-1cab-4701-aa5d-855a8f17a524 · outbound

This paper cites an unresolved cited work.

Action Space Reduction Strategies for Reinforcement Learning in Autonomous Driving Unresolved cited work

Reference 2023

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:35:22.298894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:35:16.905871Z digest=sha256:7993ed26d7eb455049d0a3f0f600e1b65393cbe80eb8086e9883137bcd887492

Pith citing papers

Observation d8de6b98-7696-4ccd-8a98-ed089e04fca8 · inbound

Optimality-Based Control Space Reduction for Infinite-Dimensional Control Spaces cites this paper.

Optimality-Based Control Space Reduction for Infinite-Dimensional Control Spaces Action Space Reduction Strategies for Reinforcement Learning in Autonomous Driving

Reference 18

Resolution
metadata mismatch
local_arxiv, observed 2026-08-04T09:49:30.139004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-04T09:43:45.813958Z digest=sha256:1c0fe1adfdf528eb90e4d05b54f115d05b9d8891d3e232ae1b2046ba233bb6b2

Observation a621fc51-a9c7-4e6e-87cf-ae048b3bd736 · inbound

A Review of Learning-Based Motion Planning: Toward a Data-Driven Optimal Control Approach cites this paper.

A Review of Learning-Based Motion Planning: Toward a Data-Driven Optimal Control Approach Action Space Reduction Strategies for Reinforcement Learning in Autonomous Driving

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-03T16:52:51.218277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T16:52:51.218277Z digest=sha256:0aa19810534826cdd58f9388f1b64f5c5d41e7abf281d0a5f2fc6a8d56d5dc69