Reinforcement Learning Enhancement Using Vector Semantic Representation and Symbolic Reasoning for Human-Centered Autonomous Emergency Braking
Fuente:
arXiv
Saved in:
| Main Authors: | Asodia, Vinal, Sharifi, Iman, Fallah, Saber |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Offline Reinforcement Learning using Human-Aligned Reward Labeling for Autonomous Emergency Braking in Occluded Pedestrian Crossing
by: Asodia, Vinal, et al.
Published: (2025)
by: Asodia, Vinal, et al.
Published: (2025)
Towards Safe Autonomous Driving Policies using a Neuro-Symbolic Deep Reinforcement Learning Approach
by: Sharifi, Iman, et al.
Published: (2023)
by: Sharifi, Iman, et al.
Published: (2023)
Symbolic Imitation Learning: From Black-Box to Explainable Driving Policies
by: Sharifi, Iman, et al.
Published: (2023)
by: Sharifi, Iman, et al.
Published: (2023)
Behavioral Cloning Models Reality Check for Autonomous Driving
by: Yildirim, Mustafa, et al.
Published: (2024)
by: Yildirim, Mustafa, et al.
Published: (2024)
Neural Lyapunov Function Approximation with Self-Supervised Reinforcement Learning
by: McCutcheon, Luc, et al.
Published: (2025)
by: McCutcheon, Luc, et al.
Published: (2025)
ANDRE: An Attention-based Neuro-symbolic Differentiable Rule Extractor for Inductive Logic Programming
by: Sharifi, Iman, et al.
Published: (2026)
by: Sharifi, Iman, et al.
Published: (2026)
Robustness and Adaptability of Reinforcement Learning based Cooperative Autonomous Driving in Mixed-autonomy Traffic
by: Valiente, Rodolfo, et al.
Published: (2022)
by: Valiente, Rodolfo, et al.
Published: (2022)
Human-Like Autonomous Driving on Dense Traffic
by: Yildirim, Mustafa, et al.
Published: (2023)
by: Yildirim, Mustafa, et al.
Published: (2023)
ReinVBC: A Model-based Reinforcement Learning Approach to Vehicle Braking Controller
by: Lin, Haoxin, et al.
Published: (2026)
by: Lin, Haoxin, et al.
Published: (2026)
Optimal Actuator Attacks on Autonomous Vehicles Using Reinforcement Learning
by: Wang, Pengyu, et al.
Published: (2025)
by: Wang, Pengyu, et al.
Published: (2025)
Learning Safe Autonomous Driving Policies Using Predictive Safety Representations
by: Keswani, Mahesh, et al.
Published: (2025)
by: Keswani, Mahesh, et al.
Published: (2025)
DRARL: Disengagement-Reason-Augmented Reinforcement Learning for Efficient Improvement of Autonomous Driving Policy
by: Zhou, Weitao, et al.
Published: (2025)
by: Zhou, Weitao, et al.
Published: (2025)
Autonomous Path Planning for Intercostal Robotic Ultrasound Imaging Using Reinforcement Learning
by: Bi, Yuan, et al.
Published: (2024)
by: Bi, Yuan, et al.
Published: (2024)
How to Brake? Ethical Emergency Braking with Deep Reinforcement Learning
by: Wang, Jianbo, et al.
Published: (2025)
by: Wang, Jianbo, et al.
Published: (2025)
Cross-cultural Deployment of Autonomous Vehicles Using Data-light Inverse Reinforcement Learning
by: Lu, Hongliang, et al.
Published: (2025)
by: Lu, Hongliang, et al.
Published: (2025)
Safety-aware Causal Representation for Trustworthy Offline Reinforcement Learning in Autonomous Driving
by: Lin, Haohong, et al.
Published: (2023)
by: Lin, Haohong, et al.
Published: (2023)
Reinforcement Learning with Options and State Representation
by: Ghriss, Ayoub, et al.
Published: (2024)
by: Ghriss, Ayoub, et al.
Published: (2024)
Pretrained Visual Representations in Reinforcement Learning
by: Williams, Emlyn, et al.
Published: (2024)
by: Williams, Emlyn, et al.
Published: (2024)
ReAL-AD: Towards Human-Like Reasoning in End-to-End Autonomous Driving
by: Lu, Yuhang, et al.
Published: (2025)
by: Lu, Yuhang, et al.
Published: (2025)
Stability Enhancement in Reinforcement Learning via Adaptive Control Lyapunov Function
by: Chen, Donghe, et al.
Published: (2025)
by: Chen, Donghe, et al.
Published: (2025)
Optimizing Plastic Waste Collection in Water Bodies Using Heterogeneous Autonomous Surface Vehicles with Deep Reinforcement Learning
by: Barrionuevo, Alejandro Mendoza, et al.
Published: (2024)
by: Barrionuevo, Alejandro Mendoza, et al.
Published: (2024)
Security of Deep Reinforcement Learning for Autonomous Driving: A Survey
by: Demontis, Ambra, et al.
Published: (2022)
by: Demontis, Ambra, et al.
Published: (2022)
Autonomous Navigation of Unmanned Vehicle Through Deep Reinforcement Learning
by: Xu, Letian, et al.
Published: (2024)
by: Xu, Letian, et al.
Published: (2024)
Context-Aware Model-Based Reinforcement Learning for Autonomous Racing
by: Moustafa, Emran Yasser, et al.
Published: (2025)
by: Moustafa, Emran Yasser, et al.
Published: (2025)
Sketch-Plan-Generalize: Learning and Planning with Neuro-Symbolic Programmatic Representations for Inductive Spatial Concepts
by: Kalithasan, Namasivayam, et al.
Published: (2024)
by: Kalithasan, Namasivayam, et al.
Published: (2024)
HAIM-DRL: Enhanced Human-in-the-loop Reinforcement Learning for Safe and Efficient Autonomous Driving
by: Huang, Zilin, et al.
Published: (2024)
by: Huang, Zilin, et al.
Published: (2024)
Reinforcement Learning with Physics-Informed Symbolic Program Priors for Zero-Shot Wireless Indoor Navigation
by: Li, Tao, et al.
Published: (2025)
by: Li, Tao, et al.
Published: (2025)
State Chrono Representation for Enhancing Generalization in Reinforcement Learning
by: Chen, Jianda, et al.
Published: (2024)
by: Chen, Jianda, et al.
Published: (2024)
Safe Multi-Agent Reinforcement Learning with Bilevel Optimization in Autonomous Driving
by: Zheng, Zhi, et al.
Published: (2024)
by: Zheng, Zhi, et al.
Published: (2024)
Digital Twin Supervised Reinforcement Learning Framework for Autonomous Underwater Navigation
by: Mari, Zamirddine, et al.
Published: (2025)
by: Mari, Zamirddine, et al.
Published: (2025)
Separation Assurance between Heterogeneous Fleets of Small Unmanned Aerial Systems via Multi-Agent Reinforcement Learning
by: Sharifi, Iman, et al.
Published: (2026)
by: Sharifi, Iman, et al.
Published: (2026)
Semantic-Geometric Task Representations for Bimanual Manipulation from Human Demonstrations to Robot Action Planning
by: Herbert, Franziska, et al.
Published: (2026)
by: Herbert, Franziska, et al.
Published: (2026)
Autonomous Vehicle Lateral Control Using Deep Reinforcement Learning with MPC-PID Demonstration
by: Wu, Chengdong, et al.
Published: (2025)
by: Wu, Chengdong, et al.
Published: (2025)
Deep Reinforcement Learning for Local Path Following of an Autonomous Formula SAE Vehicle
by: Merton, Harvey, et al.
Published: (2024)
by: Merton, Harvey, et al.
Published: (2024)
HCRMP: A LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving
by: Chen, Zhiwen, et al.
Published: (2025)
by: Chen, Zhiwen, et al.
Published: (2025)
Autonomous Algorithm for Training Autonomous Vehicles with Minimal Human Intervention
by: Lee, Sang-Hyun, et al.
Published: (2024)
by: Lee, Sang-Hyun, et al.
Published: (2024)
DreamerAD: Efficient Reinforcement Learning via Latent World Model for Autonomous Driving
by: Yang, Pengxuan, et al.
Published: (2026)
by: Yang, Pengxuan, et al.
Published: (2026)
Reinforcement Learning for Safe Autonomous Two Device Navigation of Cerebral Vessels in Mechanical Thrombectomy
by: Robertshaw, Harry, et al.
Published: (2025)
by: Robertshaw, Harry, et al.
Published: (2025)
Curriculum-Based Reinforcement Learning for Autonomous UAV Navigation in Unknown Curved Tubular Conduit
by: Mari, Zamirddine, et al.
Published: (2025)
by: Mari, Zamirddine, et al.
Published: (2025)
Imagination-Augmented Hierarchical Reinforcement Learning for Safe and Interactive Autonomous Driving in Urban Environments
by: Lee, Sang-Hyun, et al.
Published: (2023)
by: Lee, Sang-Hyun, et al.
Published: (2023)
Similar Items
-
Offline Reinforcement Learning using Human-Aligned Reward Labeling for Autonomous Emergency Braking in Occluded Pedestrian Crossing
by: Asodia, Vinal, et al.
Published: (2025) -
Towards Safe Autonomous Driving Policies using a Neuro-Symbolic Deep Reinforcement Learning Approach
by: Sharifi, Iman, et al.
Published: (2023) -
Symbolic Imitation Learning: From Black-Box to Explainable Driving Policies
by: Sharifi, Iman, et al.
Published: (2023) -
Behavioral Cloning Models Reality Check for Autonomous Driving
by: Yildirim, Mustafa, et al.
Published: (2024) -
Neural Lyapunov Function Approximation with Self-Supervised Reinforcement Learning
by: McCutcheon, Luc, et al.
Published: (2025)