Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-04T10:43:05.860760Z
Paper Citation Record · LEDGER
As of 16 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 0 inbound Pith citation observations for arXiv:2510.09041.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-04T10:43:05.860760Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
60 of 60 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation ad9fc469-e5de-4d54-b889-8dcd77f960a1 · outbound
Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach A survey of autonomous driving from a deep learning perspective,
Reference 1
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Observation b4d90ad7-0c97-4614-8337-edbf36e475fa · outbound
Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Sparsedrive: End-to-end autonomous driving via sparse scene representation,
Reference 2
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Observation 0b3a7cc5-82fd-4483-958e-a33b9e2955f5 · outbound
Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Embodied ai-enhanced vehicular networks: An integrated vision language models and reinforcement learning method,
Reference 3
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Observation abc32772-4b13-48e0-9499-a4032a6444db · outbound
Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Deepseek-r1 incentivizes reasoning in llms through reinforcement learning,
Reference 4
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Observation c4856466-bf2d-4d1c-a707-731e0fc9687f · outbound
Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach A Survey on Recent Advancements in Autonomous Driving Using Deep Reinforce- ment Learning: Applications, Challenges, and Solutions,
Reference 5
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Observation 0bb837a2-bb1d-4467-8e6a-e3bb94d406ba · outbound
Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Self-Learned Autonomous Driving at Unsignalized Intersections: A Hierarchical Reinforced Learning Approach for Feasible Decision-Making,
Reference 6
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Observation 73915fc6-2851-476b-9bd3-addb1a06159b · outbound
Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Integration of planning and deep reinforcement learning in speed and lane change decision-making for highway autonomous driving,
Reference 7
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Observation 8175164c-22e1-4de5-8f1b-37b2cf083460 · outbound
Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Highway autonomous vehicle decision-making method based on prior knowledge and improved ex- perience replay reinforcement learning algorithm,
Reference 8
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Observation 15e1e7e7-2f5b-4bd7-aa55-f52aa5aa66fd · outbound
Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Reinforcement Learning- Based Multi-Lane Cooperative Control for On-Ramp Merging in Mixed- Autonomy Traffic,
Reference 9
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Observation a219f061-ab5f-4fc0-915b-3b30a1acdff6 · outbound
Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach On-Ramp Merging for Highway Autonomous Driving: An Application of a New Safety Indicator in Deep Reinforcement Learning,
Reference 10
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Observation 4893821c-4336-47ba-9079-f82d13078470 · outbound
Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Ensemble Quantile Networks: Uncertainty-Aware Reinforcement Learning with Applications in Au- tonomous Driving,
Reference 11
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Observation 1e30d924-a57c-4042-9f9c-557cc09dfc26 · outbound
Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Predictive trajectory planning for autonomous vehicles at intersections using reinforcement learning,
Reference 12
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Observation ab2b7066-3075-4646-bb89-a7aea44df67f · outbound
Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Human as ai mentor: En- hanced human-in-the-loop reinforcement learning for safe and efficient autonomous driving,
Reference 13
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Observation f14ae427-0eaf-4f3d-ad9a-62e2492084a3 · outbound
Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Decision-making of autonomous vehicles in interactions with jaywalk- ers: A risk-aware deep reinforcement learning approach,
Reference 14
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Observation 3b233485-3387-4118-99e5-3fd849e2bf88 · outbound
Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Uncertainty quantification for safe and reliable autonomous vehicles: A review of methods and applications,
Reference 15
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Observation 479049f2-0a1c-40d4-8b79-7543e582ec72 · outbound
Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Seeing is not believing: Robust reinforcement learning against spurious correlation,
Reference 16
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Observation d35550b5-c91f-4e11-8e68-4271d9e583a0 · outbound
Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Adversarial Machine Learning Attacks and Defences in Multi-Agent Reinforcement Learning,
Reference 17
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Observation 7e87388b-3d36-4dd8-b891-c3a48ce72d77 · outbound
Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Less is More: A Stealthy and Efficient Adversarial Attack Method for DRL-based Autonomous Driving Policies
Reference 18
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Observation 7de911d0-8f6b-41c4-b55c-78778fdcb410 · outbound
Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Enhancing cyber-resilience in integrated energy system scheduling with demand response using deep reinforcement learning,
Reference 19
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Observation 86802578-847e-4774-b21a-f9f5966e678f · outbound
Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Adversarial training with anti- adversaries,
Reference 20
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Observation 7c6f2bbb-c7b0-4d92-89a8-aff79accc0f5 · outbound
Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Robust Decision Making for Au- tonomous Vehicles at Highway On-Ramps: A Constrained Adversarial Reinforcement Learning Approach,
Reference 21
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Observation 4f57a9bb-ddba-4704-b573-9e6f3571ea81 · outbound
Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Robust lane change decision for autonomous vehicles in mixed traffic: A safety-aware multi- agent adversarial reinforcement learning approach,
Reference 22
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Observation b2a6d607-0ec3-4ba4-98fe-a3af010495bc · outbound
Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Robust Training in Multiagent Deep Reinforcement Learning Against Optimal JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2021 12 Adversary,
Reference 23
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Observation 5104edf5-0017-4bf2-a127-46acfbe3018b · outbound
Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Rat: Adversarial attacks on deep reinforcement agents for targeted behaviors,
Reference 24
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Observation 71e82db3-39aa-488e-8702-320f73448113 · outbound
Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Robust Lane Change Decision Making for Autonomous Vehicles: An Observation Adversarial Rein- forcement Learning Approach,
Reference 25
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Observation 1bc6e9a4-aa35-4388-8a66-824f9e441124 · outbound
Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Explainable Deep Adversarial Reinforcement Learning Approach for Robust Autonomous Driving,
Reference 26
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Observation 3cb5b00e-f22a-452a-852d-13dc0c91e774 · outbound
Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Trustworthy autonomous driving via defense-aware robust reinforcement learning against worst-case obser- vational perturbations,
Reference 27
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Observation e7c0ef17-224c-4e7a-83e6-a997bd3487a2 · outbound
Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Improved ro- bustness and safety for autonomous vehicle control with adversarial reinforcement learning,
Reference 28
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Observation 9569baec-74ba-4b9f-9324-b4289b9ed6d6 · outbound
Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach CAT: Closed-loop Adversarial Training for Safe End-to-End Driving,
Reference 29
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Observation e7546e38-5108-44ed-a2f9-c312df1f3e00 · outbound
Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Adversarial Stress Test for Autonomous Vehicle Via Series Reinforcement Learning Tasks With Reward Shaping,
Reference 30
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Observation 5771a3e1-a7bc-4d98-8f7e-df7b12372ee7 · outbound
Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Targeted Attack on Deep RL-based Autonomous Driving with Learned Visual Patterns,
Reference 31
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Observation 85e34d1b-2cd7-40f5-9a35-036ce5b8469a · outbound
Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Dynamic Adversarial Attacks on Autonomous Driving Systems,
Reference 32
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Observation 95ae24ad-af80-4897-9669-998938547369 · outbound
Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Sharpening the Spear: Adaptive Expert-Guided Adversarial Attack Against DRL-based Autonomous Driving Policies
Reference 33
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Observation 1d5838ad-31b6-4401-a665-10c6dcb7c5ae · outbound
Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Stealthy and Efficient Adversarial Attacks against Deep Reinforcement Learning,
Reference 34
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Observation a09401ab-ad15-4f09-b960-0f5a841c6536 · outbound
Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Refining the black-box AI optimization with CMA-ES and ORM in the energy management for fuel cell electric vehicles,
Reference 35
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Observation fd669bf3-4aad-4968-88d5-2037554a2df2 · outbound
Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Toward Trustworthy Decision-Making for Autonomous Vehicles: A Robust Reinforcement Learning Approach with Safety Guarantees,
Reference 36
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Observation 0338d5e1-edd3-43b6-be24-28d7c22fcd21 · outbound
Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Attention-Based Highway Safety Planner for Autonomous Driving via Deep Reinforcement Learning,
Reference 37
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Observation b1526808-da0f-4a6c-b231-4843f4b1809f · outbound
Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Autonomous Driving using Safe Reinforcement Learning by Incorporating a Regret-based Human Lane-Changing Decision Model,
Reference 38
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Observation 0d054f4a-adc1-41f6-8fa8-20c1a33a0945 · outbound
Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Trustworthy Human-AI Collab- oration: Reinforcement Learning with Human Feedback and Physics Knowledge for Safe Autonomous Driving,
Reference 39
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Observation 30c1bf1e-3ab6-466b-b78d-e0e6078996c7 · outbound
Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Human- Guided Deep Reinforcement Learning for Optimal Decision Making of Autonomous Vehicles,
Reference 40
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Observation 727eee4b-dacd-4900-8e62-5cd00ceb1854 · outbound
Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Large Language Model guided Deep Reinforcement Learning for Decision Making in Autonomous Driving,
Reference 42
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Observation c16e0d5b-84f2-4118-ab1c-535d9e3eab5e · outbound
Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Efficient Learning of Safe Driving Policy via Human-AI Copilot Optimization,
Reference 43
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Observation f6fd5530-ea71-417a-9fde-4e919f205fd4 · outbound
Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Optimizing Autonomous Driving for Safety: A Human-Centric Approach with LLM-Enhanced RLHF,
Reference 44
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Observation 817ba9f3-54b4-474e-a13e-5f039aa15cfc · outbound
Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Robust Adversarial Reinforcement Learning,
Reference 45
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Observation 1dbb0565-3969-4c24-bac1-eb1b7b5ec9e6 · outbound
Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Safety-Aware Human-in-the- Loop Reinforcement Learning With Shared Control for Autonomous Driving,
Reference 46
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Observation 914c0148-3596-4f83-aa65-2e24c4b3ea7a · outbound
Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Adversarial examples in the physical world,
Reference 47
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Observation ffe3bba6-6eab-487c-8c3c-6906aaf9a166 · outbound
Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Mi- croscopic Traffic Simulation using SUMO,
Reference 48
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Observation 396ef2e7-b950-45e4-85d7-dfcce3db578a · outbound
Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Unprotected Left- Turn Behavior Model Capturing Path Variations at Intersections,
Reference 49
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Observation ee53f210-4c8e-44c7-96f4-b3b2ca1e13f2 · outbound
Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Self-learned autonomous driving at unsignalized intersec- tions: A hierarchical reinforced learning approach for feasible decision- making,
Reference 50
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Observation fcf6cc33-09e1-49f3-a929-ae645efff83d · outbound
Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Sumo’s lane-changing model,
Reference 51
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Observation 53e9e8e2-fd0c-4db9-815a-d90884d3be16 · outbound
Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Proximal Policy Optimization Algorithms,
Reference 52
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Observation 9a90185e-906e-40fa-9a2d-40e75ae91e03 · outbound
Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor,
Reference 53
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Observation 4c5ce018-097d-4c16-b858-887863bcdd36 · outbound
Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Addressing Function Approx- imation Error in Actor-Critic Methods,
Reference 54
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Observation 54f4543a-1c90-42c9-b8ae-4a3d64126874 · outbound
Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Energy- Constrained Safe Path Planning for UA V-Assisted Data Collection of Mobile IoT Devices,
Reference 55
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Observation 6a01d394-0318-46a8-82b9-d3b8f764d2c7 · outbound
Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach T-td3: A reinforcement learning framework for stable grasping of deformable objects using tactile prior,
Reference 56
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Observation 8c192667-5121-4368-9adf-ded14dea54d9 · outbound
Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Visionary Policy Iteration for Continuous Control,
Reference 57
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Observation d85ec567-8854-4f47-aa8e-52a71b4cd06f · outbound
Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Resource allocation for uav-enabled spatio-temporal crowdsourcing in smart cities,
Reference 58
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Observation c1e7e6b8-ebdf-4312-b054-4e4e4fed94a2 · outbound
Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Learning to walk in the real world with minimal human effort,
Reference 59
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Observation 26d537b8-eb16-45a3-8bcf-86e20845c558 · outbound
Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Fear-Neuro-Inspired Reinforcement Learning for Safe Autonomous Driving,
Reference 60
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Observation dfb2f97f-cf5b-4c2e-9dcc-63b442ea8a05 · outbound
Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Unresolved cited work
Reference 2014
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