Paper Citation Record · LEDGER

Action Space Reduction Strategies for Reinforcement Learning in Autonomous Driving

As of 11 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 2026-08-11T06:34:44.6726+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
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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; raw_fallback, observed 2026-08-06T19:35:29.933684Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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

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

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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

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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

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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; 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 2026-08-11T06:34:44.6726+00:00.

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

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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

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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

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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

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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 2026-08-11T06:34:44.6726+00:00.

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

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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

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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

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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

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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 2026-08-11T06:34:44.6726+00:00.

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 2026-08-11T06:34:44.6726+00:00.

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 2026-08-11T06:34:44.6726+00:00.

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 2026-08-11T06:34:44.6726+00:00.

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

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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

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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

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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

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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

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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

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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 2026-08-11T06:34:44.6726+00:00.

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 2026-08-11T06:34:44.6726+00:00.

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

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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 2026-08-11T06:34:44.6726+00:00.

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

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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

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Source-reported events for the cited work

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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

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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

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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

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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 2026-08-11T06:34:44.6726+00:00.

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 2026-08-11T06:34:44.6726+00:00.

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 2026-08-11T06:34:44.6726+00:00.

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

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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

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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

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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 2026-08-11T06:34:44.6726+00:00.

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

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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 2026-08-11T06:34:44.6726+00:00.

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 2026-08-11T06:34:44.6726+00:00.

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 2026-08-11T06:34:44.6726+00:00.

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 2026-08-11T06:34:44.6726+00:00.

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 2026-08-11T06:34:44.6726+00:00.

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 2026-08-11T06:34:44.6726+00:00.

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 2026-08-11T06:34:44.6726+00:00.

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 2026-08-11T06:34:44.6726+00:00.

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 2026-08-11T06:34:44.6726+00:00.

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 2026-08-11T06:34:44.6726+00:00.

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 2026-08-11T06:34:44.6726+00:00.

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 2026-08-11T06:34:44.6726+00:00.

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 2026-08-11T06:34:44.6726+00:00.

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 2026-08-11T06:34:44.6726+00:00.

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 2026-08-11T06:34:44.6726+00:00.

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 2026-08-11T06:34:44.6726+00:00.

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.