Cover Image

Scenario-Based Hierarchical Reinforcement Learning for Automated Driving Decision Making

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Abdelhamid, M. Youssef, Vater, Lennart, Ajanovic, Zlatan
Format:	Preprint
Published:	2025
Subjects:	Robotics Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SLOPE: Search with Learned Optimal Pruning-based Expansion
by: Bokan, Davor, et al.
Published: (2024)

Demystifying the Physics of Deep Reinforcement Learning-Based Autonomous Vehicle Decision-Making
by: Wan, Hanxi, et al.
Published: (2024)

Developing Driving Strategies Efficiently: A Skill-Based Hierarchical Reinforcement Learning Approach
by: Gurses, Yigit, et al.
Published: (2023)

Search-Based Robot Motion Planning With Distance-Based Adaptive Motion Primitives
by: Kraljusic, Benjamin, et al.
Published: (2025)

Mode Collapse Happens: Evaluating Critical Interactions in Joint Trajectory Prediction Models
by: Hugenholtz, Maarten, et al.
Published: (2025)

Learning to Plan, Planning to Learn: Adaptive Hierarchical RL-MPC for Sample-Efficient Decision Making
by: Hori, Toshiaki, et al.
Published: (2025)

Tactical Decision Making for Autonomous Trucks by Deep Reinforcement Learning with Total Cost of Operation Based Reward
by: Pathare, Deepthi, et al.
Published: (2024)

ASkDAgger: Active Skill-level Data Aggregation for Interactive Imitation Learning
by: Luijkx, Jelle, et al.
Published: (2025)

CuRLA: Curriculum Learning Based Deep Reinforcement Learning for Autonomous Driving
by: Uppuluri, Bhargava, et al.
Published: (2025)

DHP: Discrete Hierarchical Planning for Hierarchical Reinforcement Learning Agents
by: Sharma, Shashank, et al.
Published: (2025)

When Should a Robot Think? Resource-Aware Reasoning via Reinforcement Learning for Embodied Robotic Decision-Making
by: Liu, Jun, et al.
Published: (2026)

Deep Reinforcement Learning for Advanced Longitudinal Control and Collision Avoidance in High-Risk Driving Scenarios
by: Chen, Dianwei, et al.
Published: (2024)

Reinforcement Learning Position Control of a Quadrotor Using Soft Actor-Critic (SAC)
by: Mahran, Youssef, et al.
Published: (2025)

Automating the Refinement of Reinforcement Learning Specifications
by: Ambadkar, Tanmay, et al.
Published: (2025)

Dynamic Entropy Tuning in Reinforcement Learning Low-Level Quadcopter Control: Stochasticity vs Determinism
by: Mahran, Youssef, et al.
Published: (2025)

Network Distributed Multi-Agent Reinforcement Learning for Consensus Control of Quadcopters
by: Mahran, Youssef, et al.
Published: (2026)

DeFIX: Detecting and Fixing Failure Scenarios with Reinforcement Learning in Imitation Learning Based Autonomous Driving
by: Dagdanov, Resul, et al.
Published: (2022)

Scalable Decision-Making in Stochastic Environments through Learned Temporal Abstraction
by: Luo, Baiting, et al.
Published: (2025)

Self-Improving Safety Performance of Reinforcement Learning Based Driving with Black-Box Verification Algorithms
by: Dagdanov, Resul, et al.
Published: (2022)

Graph-Assisted Stitching for Offline Hierarchical Reinforcement Learning
by: Baek, Seungho, et al.
Published: (2025)

Hierarchical Reinforcement Learning for Swarm Confrontation with High Uncertainty
by: Wu, Qizhen, et al.
Published: (2024)

LearningFlow: Automated Policy Learning Workflow for Urban Driving with Large Language Models
by: Peng, Zengqi, et al.
Published: (2025)

V-Max: A Reinforcement Learning Framework for Autonomous Driving
by: Charraut, Valentin, et al.
Published: (2025)

Physics-informed Imitative Reinforcement Learning for Real-world Driving
by: Zhou, Hang, et al.
Published: (2024)

ReinforceGen: Hybrid Skill Policies with Automated Data Generation and Reinforcement Learning
by: Zhou, Zihan, et al.
Published: (2025)

DriveGen: Towards Infinite Diverse Traffic Scenarios with Large Models
by: Zhang, Shenyu, et al.
Published: (2025)

DISCOVER: Automated Curricula for Sparse-Reward Reinforcement Learning
by: Diaz-Bone, Leander, et al.
Published: (2025)

Return Augmented Decision Transformer for Off-Dynamics Reinforcement Learning
by: Wang, Ruhan, et al.
Published: (2024)

Tiny Reinforcement Learning for Quadruped Locomotion using Decision Transformers
by: Akgün, Orhan Eren, et al.
Published: (2024)

SEAL: Towards Safe Autonomous Driving via Skill-Enabled Adversary Learning for Closed-Loop Scenario Generation
by: Stoler, Benjamin, et al.
Published: (2024)

A Review of Reward Functions for Reinforcement Learning in the context of Autonomous Driving
by: Abouelazm, Ahmed, et al.
Published: (2024)

Uncertainty-Aware Robotic World Model Makes Offline Model-Based Reinforcement Learning Work on Real Robots
by: Li, Chenhao, et al.
Published: (2025)

Interpretable Decision-Making for End-to-End Autonomous Driving
by: Mirzaie, Mona, et al.
Published: (2025)

Denoising Particle Filters: Learning State Estimation with Single-Step Objectives
by: Röstel, Lennart, et al.
Published: (2026)

Optimizing Sensor Redundancy in Sequential Decision-Making Problems
by: Nüßlein, Jonas, et al.
Published: (2024)

TreeIRL: Safe Urban Driving with Tree Search and Inverse Reinforcement Learning
by: Tomov, Momchil S., et al.
Published: (2025)

CtRL-Sim: Reactive and Controllable Driving Agents with Offline Reinforcement Learning
by: Rowe, Luke, et al.
Published: (2024)

Long and Short-Term Constraints Driven Safe Reinforcement Learning for Autonomous Driving
by: Hu, Xuemin, et al.
Published: (2024)

Safety-aware Causal Representation for Trustworthy Offline Reinforcement Learning in Autonomous Driving
by: Lin, Haohong, et al.
Published: (2023)

Scaling Is All You Need: Autonomous Driving with JAX-Accelerated Reinforcement Learning
by: Harmel, Moritz, et al.
Published: (2023)