Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T19:35:18.236786Z
Paper Citation Record · LEDGER
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.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T19:35:18.236786Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T09:43:45.813958Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-04T12:16:13.904932Z
56 of 56 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 9fc4fd64-7de0-4799-a444-af4d8e4d4c89 · outbound
Action Space Reduction Strategies for Reinforcement Learning in Autonomous Driving Unresolved cited work
Reference 1
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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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Observation 53adcf0d-b4fb-42a8-87df-0fe2174a49a2 · outbound
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Reference 3
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Observation 6fd755e0-a064-4e65-8124-3a4e5e157d0d · outbound
Action Space Reduction Strategies for Reinforcement Learning in Autonomous Driving Traffic Signal Control Using Hybrid Action Space Deep Reinforcement Learning
Reference 4
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Observation 334a5765-4fc9-4553-a2a7-9c035a6370c4 · outbound
Action Space Reduction Strategies for Reinforcement Learning in Autonomous Driving OpenAI gym
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Observation 5fb24d38-05ae-4caf-a0c9-f090ef109464 · outbound
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Observation 59736d64-fcef-449d-ac90-4d24f2688fcd · outbound
Action Space Reduction Strategies for Reinforcement Learning in Autonomous Driving Learning to drive from a world on rails, October 2021
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Observation 9dc4f863-806d-4c97-a51d-a7d5c47f4ab9 · outbound
Action Space Reduction Strategies for Reinforcement Learning in Autonomous Driving Context- Aware Meta-RL With Two-Stage Constrained Adaptation for Urban Driving
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Observation 689a04e5-44c6-44d0-88b8-22a0cf0e1cd5 · outbound
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Observation ffa34a45-ba45-4ba1-8cfa-d3d4138f8b73 · outbound
Action Space Reduction Strategies for Reinforcement Learning in Autonomous Driving CARLA: An Open Urban Driving Simulator
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Observation 149ca7bd-b8c3-428a-b9d4-de4889b9a991 · outbound
Action Space Reduction Strategies for Reinforcement Learning in Autonomous Driving Deep reinforcement learning in large discrete action spaces
Reference 11
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Observation 99f276d1-200a-42cb-bd4a-05d3f44e7a3e · outbound
Action Space Reduction Strategies for Reinforcement Learning in Autonomous Driving DQN-based Reinforcement Learning for Vehicle Control of Autonomous Vehicles Interacting With Pedestrians
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Observation 663f4c56-2539-4fe0-8de0-1873ae08e5c4 · outbound
Action Space Reduction Strategies for Reinforcement Learning in Autonomous Driving Growing Action Spaces, June 2019
Reference 13
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Observation b46ce158-6fc0-4b5c-8213-a9785438fccd · outbound
Action Space Reduction Strategies for Reinforcement Learning in Autonomous Driving Intersection decision making for autonomous vehicles based on improved PPO algorithm
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Action Space Reduction Strategies for Reinforcement Learning in Autonomous Driving Interactive fiction games: A colossal adventure
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Action Space Reduction Strategies for Reinforcement Learning in Autonomous Driving Le, and Hartwig Adam
Reference 16
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Observation 6c0e69ee-7d55-44c6-9f80-59b39fd7e660 · outbound
Action Space Reduction Strategies for Reinforcement Learning in Autonomous Driving A closer look at invalid action masking in policy gradient algorithms
Reference 17
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Observation 5d538448-78ae-4dfb-9936-16531bead1d8 · outbound
Action Space Reduction Strategies for Reinforcement Learning in Autonomous Driving Safe Reinforcement Learning on Autonomous Vehicles
Reference 18
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Observation f3849438-59b6-42e1-83de-f94a1feca6b4 · outbound
Action Space Reduction Strategies for Reinforcement Learning in Autonomous Driving Action Space Shaping in Deep Reinforcement Learning, May 2020
Reference 19
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Action Space Reduction Strategies for Reinforcement Learning in Autonomous Driving ViZDoom: A doom-based AI research platform for visual reinforcement learning
Reference 20
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Observation aea4bded-93c0-4b60-9660-0e0fa64d05bb · outbound
Action Space Reduction Strategies for Reinforcement Learning in Autonomous Driving Learning to Drive in a Day
Reference 21
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Observation d0d9bdae-bd92-4acd-baae-0eaf97b79ac9 · outbound
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Reference 22
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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
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Observation 7ad0b9aa-ca5b-4d67-a791-5aa303a2d370 · outbound
Action Space Reduction Strategies for Reinforcement Learning in Autonomous Driving Safe Rein- forcement Learning for Autonomous Lane Changing Using Set-Based Prediction
Reference 24
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Observation db0289f5-b275-475d-988a-74b909036a0b · outbound
Action Space Reduction Strategies for Reinforcement Learning in Autonomous Driving HyAR: Addressing discrete- continuous action reinforcement learning via hybrid action representa- tion
Reference 25
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Observation 65bd2261-1c5d-49b2-812d-c9aecfc4dd66 · outbound
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
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Observation 0ed34ddc-d396-4fef-b85a-93f64f023e9f · outbound
Action Space Reduction Strategies for Reinforcement Learning in Autonomous Driving MetaDrive: Composing diverse driving scenarios for generalizable reinforcement learning
Reference 27
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Observation 375cd1d9-c71e-4195-94f0-78ee279c5b17 · outbound
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
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Observation 44c8e0b2-3c75-49ee-939e-c83a5dcee611 · outbound
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Reference 29
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Observation 76a749f2-12ba-4d56-b0d2-8082b5e5640d · outbound
Action Space Reduction Strategies for Reinforcement Learning in Autonomous Driving Continuous control with deep reinforcement learning
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Observation 9fc94ac8-d326-40f5-ac27-16311114e2e9 · outbound
Action Space Reduction Strategies for Reinforcement Learning in Autonomous Driving Exact Reduction of Huge Action Spaces in General Reinforcement Learning, December 2020
Reference 31
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Observation 96c4f514-51c7-469d-b405-4c276e8df0fd · outbound
Action Space Reduction Strategies for Reinforcement Learning in Autonomous Driving Webotstm: Professional mobile robot simulation, 2004
Reference 32
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Observation f4fd03d3-6e6a-4865-89a8-306030c4c856 · outbound
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Reference 33
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Observation 212c8caa-d03d-4b59-8905-45d12334e313 · outbound
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
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Action Space Reduction Strategies for Reinforcement Learning in Autonomous Driving Stable-baselines3: Reliable reinforcement learning implementations
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Reference 37
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Reference 38
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Action Space Reduction Strategies for Reinforcement Learning in Autonomous Driving Dynamic Action Space Handling Method for Reinforcement Learning Models
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Action Space Reduction Strategies for Reinforcement Learning in Autonomous Driving Action Branching Architectures for Deep Reinforcement Learning
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Observation 5c216267-9c44-40b9-8454-5e19527aa9d5 · outbound
Action Space Reduction Strategies for Reinforcement Learning in Autonomous Driving Action Branch- ing Architectures for Deep Reinforcement Learning, January 2019
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Reference 43
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Reference 47
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Observation 4b70ed98-1cab-4701-aa5d-855a8f17a524 · outbound
Action Space Reduction Strategies for Reinforcement Learning in Autonomous Driving Unresolved cited work
Reference 2023
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Source-reported events for the cited work
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