Game-Theoretic Risk-Shaped Reinforcement Learning for Safe Autonomous Driving
Fuente:
arXiv
Saved in:
| Main Authors: | Hu, Dong, Hu, Fenqing, Yang, Lidong, Huang, Chao |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Long and Short-Term Constraints Driven Safe Reinforcement Learning for Autonomous Driving
by: Hu, Xuemin, et al.
Published: (2024)
by: Hu, Xuemin, et al.
Published: (2024)
Goal-conditioned Hierarchical Reinforcement Learning for Sample-efficient and Safe Autonomous Driving at Intersections
by: Huang, Yiou
Published: (2025)
by: Huang, Yiou
Published: (2025)
Risk-Aware Reinforcement Learning for Autonomous Driving: Improving Safety When Driving through Intersection
by: Leng, Bo, et al.
Published: (2025)
by: Leng, Bo, et al.
Published: (2025)
Attention and Risk-Aware Decision Framework for Safe Autonomous Driving
by: Tian, Zhen, et al.
Published: (2025)
by: Tian, Zhen, et al.
Published: (2025)
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)
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)
DRL-Based Trajectory Tracking for Motion-Related Modules in Autonomous Driving
by: Xu, Yinda, et al.
Published: (2023)
by: Xu, Yinda, et al.
Published: (2023)
Knowledge Transfer from Simple to Complex: A Safe and Efficient Reinforcement Learning Framework for Autonomous Driving Decision-Making
by: Zhou, Rongliang, et al.
Published: (2024)
by: Zhou, Rongliang, et al.
Published: (2024)
Adaptive Evolution Factor Risk Ellipse Framework for Reliable and Safe Autonomous Driving
by: Yuan, Fujiang, et al.
Published: (2025)
by: Yuan, Fujiang, et al.
Published: (2025)
Game-Theoretic Autonomous Driving: A Graphs of Convex Sets Approach
by: Käfer, Nikolaj, et al.
Published: (2026)
by: Käfer, Nikolaj, et al.
Published: (2026)
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)
Learning to Model Diverse Driving Behaviors in Highly Interactive Autonomous Driving Scenarios with Multi-Agent Reinforcement Learning
by: Weiwei, Liu, et al.
Published: (2024)
by: Weiwei, Liu, et al.
Published: (2024)
SafeAlign-VLA: A Negative-Enhanced Safe Alignment Framework for Risk-Aware Autonomous Driving
by: Tian, Kefei, et al.
Published: (2026)
by: Tian, Kefei, et al.
Published: (2026)
DriveVLM-RL: Neuroscience-Inspired Reinforcement Learning with Vision-Language Models for Safe and Deployable Autonomous Driving
by: Huang, Zilin, et al.
Published: (2026)
by: Huang, Zilin, et al.
Published: (2026)
Risk Map As Middleware: Towards Interpretable Cooperative End-to-end Autonomous Driving for Risk-Aware Planning
by: Lei, Mingyue, et al.
Published: (2025)
by: Lei, Mingyue, et al.
Published: (2025)
An Evolutionary Game-Theoretic Merging Decision-Making Considering Social Acceptance for Autonomous Driving
by: Liu, Haolin, et al.
Published: (2025)
by: Liu, Haolin, et al.
Published: (2025)
Trustworthy Human-AI Collaboration: Reinforcement Learning with Human Feedback and Physics Knowledge for Safe Autonomous Driving
by: Huang, Zilin, et al.
Published: (2024)
by: Huang, Zilin, et al.
Published: (2024)
VLM-RL: A Unified Vision Language Models and Reinforcement Learning Framework for Safe Autonomous Driving
by: Huang, Zilin, et al.
Published: (2024)
by: Huang, Zilin, et al.
Published: (2024)
Beyond Scalar Rewards: Distributional Reinforcement Learning with Preordered Objectives for Safe and Reliable Autonomous Driving
by: Abouelazm, Ahmed, et al.
Published: (2026)
by: Abouelazm, Ahmed, et al.
Published: (2026)
GTP-UDrive: Unified Game-Theoretic Trajectory Planner and Decision-Maker for Autonomous Driving in Mixed Traffic Environments
by: Naidja, Nouhed, et al.
Published: (2024)
by: Naidja, Nouhed, et al.
Published: (2024)
Pre-trained Transformer-Enabled Strategies with Human-Guided Fine-Tuning for End-to-end Navigation of Autonomous Vehicles
by: Hu, Dong, et al.
Published: (2024)
by: Hu, Dong, et al.
Published: (2024)
Learning Safe Autonomous Driving Policies Using Predictive Safety Representations
by: Keswani, Mahesh, et al.
Published: (2025)
by: Keswani, Mahesh, et al.
Published: (2025)
TeLL-Drive: Enhancing Autonomous Driving with Teacher LLM-Guided Deep Reinforcement Learning
by: Xu, Chengkai, et al.
Published: (2025)
by: Xu, Chengkai, et al.
Published: (2025)
A Safe and Efficient Self-evolving Algorithm for Decision-making and Control of Autonomous Driving Systems
by: Yang, Shuo, et al.
Published: (2024)
by: Yang, Shuo, et al.
Published: (2024)
Multi-Agent Reinforcement Learning for Safe Autonomous Driving Under Pedestrian Behavioral Uncertainty
by: Aryan, Prakash, et al.
Published: (2026)
by: Aryan, Prakash, et al.
Published: (2026)
Ethics-Aware Safe Reinforcement Learning for Rare-Event Risk Control in Interactive Urban Driving
by: Li, Dianzhao, et al.
Published: (2025)
by: Li, Dianzhao, et al.
Published: (2025)
A Survey of Reinforcement Learning-Based Motion Planning for Autonomous Driving: Lessons Learned from a Driving Task Perspective
by: Li, Zhuoren, et al.
Published: (2025)
by: Li, Zhuoren, et al.
Published: (2025)
Interaction-Aware Trajectory Prediction for Safe Motion Planning in Autonomous Driving: A Transformer-Transfer Learning Approach
by: Liang, Jinhao, et al.
Published: (2024)
by: Liang, Jinhao, et al.
Published: (2024)
Safe2Drive: Evaluating Safe Driving Behaviors of E2E Autonomous Driving Models
by: Sahu, Nishad, et al.
Published: (2026)
by: Sahu, Nishad, et al.
Published: (2026)
Autonomous Decision Making for UAV Cooperative Pursuit-Evasion Game with Reinforcement Learning
by: Zhao, Yang, et al.
Published: (2024)
by: Zhao, Yang, et al.
Published: (2024)
Confidence-Guided Human-AI Collaboration: Reinforcement Learning with Distributional Proxy Value Propagation for Autonomous Driving
by: Zeqiao, Li, et al.
Published: (2025)
by: Zeqiao, Li, et al.
Published: (2025)
Dynamically Expanding Capacity of Autonomous Driving with Near-Miss Focused Training Framework
by: Yang, Ziyuan, et al.
Published: (2024)
by: Yang, Ziyuan, et al.
Published: (2024)
TreeIRL: Safe Urban Driving with Tree Search and Inverse Reinforcement Learning
by: Tomov, Momchil S., et al.
Published: (2025)
by: Tomov, Momchil S., et al.
Published: (2025)
Safe and Stylized Trajectory Planning for Autonomous Driving via Diffusion Model
by: Pei, Shuo, et al.
Published: (2026)
by: Pei, Shuo, et al.
Published: (2026)
SafeDrive: Knowledge- and Data-Driven Risk-Sensitive Decision-Making for Autonomous Vehicles with Large Language Models
by: Zhou, Zhiyuan, et al.
Published: (2024)
by: Zhou, Zhiyuan, et al.
Published: (2024)
Learning Autonomous Race Driving with Action Mapping Reinforcement Learning
by: Wang, Yuanda, et al.
Published: (2024)
by: Wang, Yuanda, et al.
Published: (2024)
A Comprehensive Review of Reinforcement Learning for Autonomous Driving in the CARLA Simulator
by: Delavari, Elahe, et al.
Published: (2025)
by: Delavari, Elahe, et al.
Published: (2025)
SEG-Parking: Towards Safe, Efficient, and Generalizable Autonomous Parking via End-to-End Offline Reinforcement Learning
by: Yang, Zewei, et al.
Published: (2025)
by: Yang, Zewei, et al.
Published: (2025)
Fine-tuning is Not Enough: A Parallel Framework for Collaborative Imitation and Reinforcement Learning in End-to-end Autonomous Driving
by: Lian, Zhexi, et al.
Published: (2026)
by: Lian, Zhexi, et al.
Published: (2026)
Drive Fast, Learn Faster: On-Board RL for High Performance Autonomous Racing
by: Hildisch, Benedict, et al.
Published: (2025)
by: Hildisch, Benedict, et al.
Published: (2025)
Similar Items
-
Long and Short-Term Constraints Driven Safe Reinforcement Learning for Autonomous Driving
by: Hu, Xuemin, et al.
Published: (2024) -
Goal-conditioned Hierarchical Reinforcement Learning for Sample-efficient and Safe Autonomous Driving at Intersections
by: Huang, Yiou
Published: (2025) -
Risk-Aware Reinforcement Learning for Autonomous Driving: Improving Safety When Driving through Intersection
by: Leng, Bo, et al.
Published: (2025) -
Attention and Risk-Aware Decision Framework for Safe Autonomous Driving
by: Tian, Zhen, et al.
Published: (2025) -
Safe Multi-Agent Reinforcement Learning with Bilevel Optimization in Autonomous Driving
by: Zheng, Zhi, et al.
Published: (2024)