DeFIX: Detecting and Fixing Failure Scenarios with Reinforcement Learning in Imitation Learning Based Autonomous Driving
Fuente:
arXiv
Saved in:
| Main Authors: | Dagdanov, Resul, Eksen, Feyza, Durmus, Halil, Yurdakul, Ferhat, Ure, Nazim Kemal |
|---|---|
| Format: | Preprint |
| Published: |
2022
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Self-Improving Safety Performance of Reinforcement Learning Based Driving with Black-Box Verification Algorithms
by: Dagdanov, Resul, et al.
Published: (2022)
by: Dagdanov, Resul, et al.
Published: (2022)
Iterative Active-Inactive Obstacle Classification for Time-Optimal Collision Avoidance
by: Kaymaz, Mehmetcan, et al.
Published: (2024)
by: Kaymaz, Mehmetcan, et al.
Published: (2024)
An Integrated Imitation and Reinforcement Learning Methodology for Robust Agile Aircraft Control with Limited Pilot Demonstration Data
by: Sever, Gulay Goktas, et al.
Published: (2023)
by: Sever, Gulay Goktas, et al.
Published: (2023)
Improving Trust Estimation in Human-Robot Collaboration Using Beta Reputation at Fine-grained Timescales
by: Dagdanov, Resul, et al.
Published: (2024)
by: Dagdanov, Resul, et al.
Published: (2024)
MRIC: Model-Based Reinforcement-Imitation Learning with Mixture-of-Codebooks for Autonomous Driving Simulation
by: He, Baotian, et al.
Published: (2024)
by: He, Baotian, et al.
Published: (2024)
From Failures to Fixes: LLM-Driven Scenario Repair for Self-Evolving Autonomous Driving
by: Xia, Xinyu, et al.
Published: (2025)
by: Xia, Xinyu, et al.
Published: (2025)
Data Scaling Laws for Imitation Learning-Based End-to-End Autonomous Driving
by: Zheng, Yupeng, et al.
Published: (2024)
by: Zheng, Yupeng, et al.
Published: (2024)
Sliced Distribution Matching based on Cumulative Distribution Functions with Applications to Control
by: Tzikas, Alexandros E., et al.
Published: (2024)
by: Tzikas, Alexandros E., et al.
Published: (2024)
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)
PLUTO: Pushing the Limit of Imitation Learning-based Planning for Autonomous Driving
by: Cheng, Jie, et al.
Published: (2024)
by: Cheng, Jie, et al.
Published: (2024)
Phase-Conditioned Imitation Learning with Autonomous Failure Recovery for Robust Deformable Object Manipulation
by: Chen, Dayuan, et al.
Published: (2026)
by: Chen, Dayuan, et al.
Published: (2026)
Imitation Learning for Autonomous Driving: Insights from Real-World Testing
by: Dursun, Hidayet Ersin, et al.
Published: (2025)
by: Dursun, Hidayet Ersin, 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)
CAPS: Context-Aware Priority Sampling for Enhanced Imitation Learning in Autonomous Driving
by: Mirkhani, Hamidreza, et al.
Published: (2025)
by: Mirkhani, Hamidreza, et al.
Published: (2025)
Unsupervised Learning for Detection of Rare Driving Scenarios
by: Le, Dat, et al.
Published: (2025)
by: Le, Dat, et al.
Published: (2025)
CARIL: Confidence-Aware Regression in Imitation Learning for Autonomous Driving
by: Delavari, Elahe, et al.
Published: (2025)
by: Delavari, Elahe, et al.
Published: (2025)
Scenario-Based Hierarchical Reinforcement Learning for Automated Driving Decision Making
by: Abdelhamid, M. Youssef, et al.
Published: (2025)
by: Abdelhamid, M. Youssef, et al.
Published: (2025)
Physics-informed Imitative Reinforcement Learning for Real-world Driving
by: Zhou, Hang, et al.
Published: (2024)
by: Zhou, Hang, et al.
Published: (2024)
Synergistic Reinforcement and Imitation Learning for Vision-driven Autonomous Flight of UAV Along River
by: Wang, Zihan, et al.
Published: (2024)
by: Wang, Zihan, et al.
Published: (2024)
CoIRL-AD: Collaborative-Competitive Imitation-Reinforcement Learning in Latent World Models for Autonomous Driving
by: Zheng, Xiaoji, et al.
Published: (2025)
by: Zheng, Xiaoji, et al.
Published: (2025)
Planning by Simulation: Motion Planning with Learning-based Parallel Scenario Prediction for Autonomous Driving
by: Niu, Tian, et al.
Published: (2024)
by: Niu, Tian, et al.
Published: (2024)
Beyond Imitation: A Life-long Policy Learning Framework for Path Tracking Control of Autonomous Driving
by: Gong, C., et al.
Published: (2024)
by: Gong, C., 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)
Automatic Curriculum Learning for Driving Scenarios: Towards Robust and Efficient Reinforcement Learning
by: Abouelazm, Ahmed, et al.
Published: (2025)
by: Abouelazm, Ahmed, et al.
Published: (2025)
Can We Detect Failures Without Failure Data? Uncertainty-Aware Runtime Failure Detection for Imitation Learning Policies
by: Xu, Chen, et al.
Published: (2025)
by: Xu, Chen, et al.
Published: (2025)
CuRLA: Curriculum Learning Based Deep Reinforcement Learning for Autonomous Driving
by: Uppuluri, Bhargava, et al.
Published: (2025)
by: Uppuluri, Bhargava, et al.
Published: (2025)
DIVER: Reinforced Diffusion Breaks Imitation Bottlenecks in End-to-End Autonomous Driving
by: Song, Ziying, et al.
Published: (2025)
by: Song, Ziying, et al.
Published: (2025)
Prompting Multi-Modal Tokens to Enhance End-to-End Autonomous Driving Imitation Learning with LLMs
by: Duan, Yiqun, et al.
Published: (2024)
by: Duan, Yiqun, et al.
Published: (2024)
Reinforcement Learning-based Dynamic Adaptation for Sampling-Based Motion Planning in Agile Autonomous Driving
by: Langmann, Alexander, et al.
Published: (2025)
by: Langmann, Alexander, et al.
Published: (2025)
Game-Theoretic Risk-Shaped Reinforcement Learning for Safe Autonomous Driving
by: Hu, Dong, et al.
Published: (2025)
by: Hu, Dong, et al.
Published: (2025)
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)
Quantitative Representation of Scenario Difficulty for Autonomous Driving Based on Adversarial Policy Search
by: Yang, Shuo, et al.
Published: (2024)
by: Yang, Shuo, et al.
Published: (2024)
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)
PP-TIL: Personalized Planning for Autonomous Driving with Instance-based Transfer Imitation Learning
by: Lin, Fangze, et al.
Published: (2024)
by: Lin, Fangze, et al.
Published: (2024)
Beyond Imitation: Learning Safe End-to-End Autonomous Driving from Hard Negatives
by: Wang, Junli, et al.
Published: (2026)
by: Wang, Junli, et al.
Published: (2026)
RLIF: Interactive Imitation Learning as Reinforcement Learning
by: Luo, Jianlan, et al.
Published: (2023)
by: Luo, Jianlan, et al.
Published: (2023)
Trajectory Planning Using Reinforcement Learning for Interactive Overtaking Maneuvers in Autonomous Racing Scenarios
by: Ögretmen, Levent, et al.
Published: (2024)
by: Ögretmen, Levent, et al.
Published: (2024)
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)
Where to Measure: Epistemic Uncertainty-Based Sensor Placement with ConvCNPs
by: Eksen, Feyza, et al.
Published: (2025)
by: Eksen, Feyza, et al.
Published: (2025)
LLM-Driven Scenario-Aware Planning for Autonomous Driving
by: Li, He, et al.
Published: (2026)
by: Li, He, et al.
Published: (2026)
Similar Items
-
Self-Improving Safety Performance of Reinforcement Learning Based Driving with Black-Box Verification Algorithms
by: Dagdanov, Resul, et al.
Published: (2022) -
Iterative Active-Inactive Obstacle Classification for Time-Optimal Collision Avoidance
by: Kaymaz, Mehmetcan, et al.
Published: (2024) -
An Integrated Imitation and Reinforcement Learning Methodology for Robust Agile Aircraft Control with Limited Pilot Demonstration Data
by: Sever, Gulay Goktas, et al.
Published: (2023) -
Improving Trust Estimation in Human-Robot Collaboration Using Beta Reputation at Fine-grained Timescales
by: Dagdanov, Resul, et al.
Published: (2024) -
MRIC: Model-Based Reinforcement-Imitation Learning with Mixture-of-Codebooks for Autonomous Driving Simulation
by: He, Baotian, et al.
Published: (2024)