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Paper Citation Record · LEDGER

Action Space Reduction Strategies for Reinforcement Learning in Autonomous Driving

As of 18 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 2026-08-18T06:34:40.430872+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

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:35:13.442274Z digest=sha256:89c5e49076f127332c1ffe5f4631e7ff1658ddaec49e918e309b39a46946f776

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:35:13.521246Z digest=sha256:d66691351eaa6c7415222ef85c0e8bc4b1532784870f2134b6bd1e2e80f93f74

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

Resolution
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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:35:13.624485Z digest=sha256:fb298312b3e78bd99cebc4affc0d38ed70ce3fcb90e0c38674004efcac86c383

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:35:13.699913Z digest=sha256:e797a308864890e03574f4561149d1b44dcf7c98a29a06636bfac6c358f48105

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

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:35:13.806563Z digest=sha256:fba542712e76ef4b5fa06e9a32b7e1f9f7dcb2df7ecb45077d65ab5886d9a61f

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:35:13.870649Z digest=sha256:5a8d016d826c4fe197c8445d7a53d0d10e7c540bf48e2ce456ea476da70c7032

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:35:14.005963Z digest=sha256:caaa855d0f54eeafd41e3c63b96d5841eff8f820de5219dd2e0c2e6e41da263a

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:35:14.136113Z digest=sha256:df41e9072439a0b2504ebae50db85191455a6702930f8affc9e6b0e5f0e5f669

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:35:14.245983Z digest=sha256:90a44ee27f42b3fa0640cef47afdb59297cb7eecfdce13ab35d43c148e5cac8b

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:35:14.345319Z digest=sha256:a83f57383d061136a77d20c2b72243ec6dbde6812f5eddd90f1dfa04c0c0b399

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:35:14.447711Z digest=sha256:83ce9897a0bbd8f780c02124d43da4de845b268a82e361c2946860d6dcf0ff2a

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:35:14.558039Z digest=sha256:2d113457a52948f73e15b0b7802f517ee801fbf3f75901d9097c0bbfbe2591e9

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:35:14.637587Z digest=sha256:b8c20ec8c05207f52e68da71aaf3a1e0872ccd79b50a4df89981491039d4069d

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:35:14.747612Z digest=sha256:2ca6fbb8daf4148026d6652bf7c5040197225e203bdb13db423a7c5a1565cbd5

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:35:14.830034Z digest=sha256:fd42d663c1688fd62d3653f5bb4b2498492683af39114ca8111fd017a9c02f02

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:35:14.903360Z digest=sha256:76723c1386c0429dc5ab364426d8fd493d60dc6744328d39a53876d373ff8845

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:35:15.018125Z digest=sha256:c32394e776edd78e036620eb9bcfc233162c46a74ff2483ddf68a286103db3d7

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:35:15.119280Z digest=sha256:ac005616df63e62fb90d58c7955fd530e177d721375a32cb8d28dfdbaf01c870

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:35:15.250752Z digest=sha256:9b9d1bbe7e40c8fc4ee62e215c44ea6a5936ebeb75124105591ec87ba69dd1ea

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:35:15.337773Z digest=sha256:9a6df3f7d611a32a1aa1d8fa05fc445c7773545273dc0e57986c121eb5ba2ba2

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:35:15.409707Z digest=sha256:a584dba5af710f0bb6cba0f06d886a248c6ecedf019e1df8f3d7f88f51eda121

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:35:15.491956Z digest=sha256:19aa249b837755e84bad7c5cff9408a7cc3e52c9c2cc6479957d24f2e4ec5119

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:35:15.558801Z digest=sha256:ef53d5fddc5a1cd696bc840f519c7032782c3d9693eb2e1acc021046438aa591

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:35:15.630752Z digest=sha256:f16ed0825c446a139339163ed7a83b1759f1453c60346e807b50616ec1572bef

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:35:15.710596Z digest=sha256:3707a98cc6b5a73f36d16861ccff7ab21b875b34f0ece71cf566fe4031453bad

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:35:15.814516Z digest=sha256:d82685cb77d3d057a8147b0845cc8d8f8b0cc4713a72778895606af07130cb7a

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:35:15.886884Z digest=sha256:263248d6241d3a7bdaf80958baf0cbc1749144a7c015a67f5845c6cf5c0715ae

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:35:15.982447Z digest=sha256:809b5d6cafe92ea01998cebe473e6dcc90cdaf6626d17c77b55426c9b3289629

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:35:16.075874Z digest=sha256:42e1b9fde5f9d96de956a83101e4029ecf7c5aca61140a93ef3c2fe871db83bd

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=sha256:97ee32deaee3681d382a31f37d45ef1d639045c01f260e6701db647b10587f74

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:35:16.225499Z digest=sha256:2b3386f287c25fb405598bb0aeb5b963702551524f7d4a6da4338f0d45b821a6

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:35:16.294312Z digest=sha256:c1d11e964022d713ddfa840edcc9bb9a5fc01a5898f47411af2295ed136a9531

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:35:16.373175Z digest=sha256:544b3f7d94221003ca61fd1c6eabaecd47c38ff050ef80276420b5eb98bbf7ec

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:35:16.483722Z digest=sha256:cd5a602ec44b2797cc27bd3ed0de6f671012477b8ead0597e444bbcbee1fc07a

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:35:16.568058Z digest=sha256:7cd35df1be0d1ca3dfb67a303ef4e10d826a5b50be5bab65eef55ab82ee86b46

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:35:16.638214Z digest=sha256:919b6089a8c2022cbe412f5eef055cf92783d142c8f8ee813014418004e0df84

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:35:16.711748Z digest=sha256:7a4a92c49f65c1e8080e3585c9c9394f887d5676e3055c5568a47a0c05b11cb1

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:35:16.813469Z digest=sha256:e46b1437b3980f739eee3f9e6aac815d6bec2d916206a47fe87904cc5fbce55a

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:35:16.978913Z digest=sha256:8d9332731f4de5be6aeafbfca6d51c2bc01f9a49f4961be47713d7dade24a689

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:35:17.062317Z digest=sha256:cd7193fc9be8bcfe1076f6ef7bfc23fda3d106e1a63d5e3baefcd250121c0017

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:35:17.156537Z digest=sha256:58811433b78d3c1051146ec17499196d972173238c1f5c3616ff3905c53b6932

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:35:17.231928Z digest=sha256:a97a0fdc41c68b20ccaa15f385dd56a31df43a7825cf9b257866e3861b47acc3

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:35:17.331281Z digest=sha256:a59a8b3f3bc1abfd6011e3053dbf08ef87d9adedd119e639bdbda72cc4377759

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:35:17.403180Z digest=sha256:6c75403ef4579ce49115affe1ef0818f4c86a765a49b3a1cea9d85bcfa335995

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:35:17.482379Z digest=sha256:11d9f97348670fe8f5ebb3becae26cee0c1b514bee50c6d25350c0dae61940d7

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:35:17.585693Z digest=sha256:06be81d3c10cc75423173894ddb00eefecdd744e85fa7356daf2d21efb7ce31a

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:35:17.682736Z digest=sha256:4f26ccf1a3dec63ac47fc6dcdb17e42fc4dc686864115d4daadc16786e44304f

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:35:17.752763Z digest=sha256:5d3e0e3863a61be90915d6671532bef58081710701cab1ebb440d979681c4d7f

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:35:17.825011Z digest=sha256:20fa25807a4f4abc3b5817c3a7f47cfc33207ce1a21b1425e92b9d13be700d13

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:35:17.887216Z digest=sha256:bae096391612700d704c2c70e693e3eb93ebe6de9143b8f6395bb0e7f5c5cdf0

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:35:17.966481Z digest=sha256:7f791dee0bea00c3472fbab693c03792a5f873079b76a0a1b61f2ce1aca6da8d

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:35:18.034084Z digest=sha256:cd29039426247efcfe56c6f6ed094529f518da5b42ec068f5f3e51efd7d0a07c

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:35:18.084907Z digest=sha256:e2c43d06af4eb9595eed0192cb47709b4f4401d414aec91a4ddf400cbb3feaa8

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:35:18.161447Z digest=sha256:a527072eb03fe03d70d8fd05d41d713255960408e88edda858bee565819468d4

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:35:18.236786Z digest=sha256:14e27faa3d78e2538bca396af7dfb512846e15c6b4537ea044d8e1adfc6fda4f

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:35:16.905871Z digest=sha256:29d8edb3073f22e31bd037f7d618fbf1e1432d2b25c3cc4818d363d31bf25e3f

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-04T09:43:45.813958Z digest=sha256:569c378a18ac982cf9f962ba0870f8385e3fd0ad0905ac3c2838419a19edb8ac

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