Cover Image

Demystifying the Physics of Deep Reinforcement Learning-Based Autonomous Vehicle Decision-Making

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wan, Hanxi, Li, Pei, Kusari, Arpan
Format:	Preprint
Published:	2024
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

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

Edge AI-Powered Real-Time Decision-Making for Autonomous Vehicles in Adverse Weather Conditions
by: Rahmati, Milad
Published: (2025)

Scenario-Based Hierarchical Reinforcement Learning for Automated Driving Decision Making
by: Abdelhamid, M. Youssef, et al.
Published: (2025)

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

Deep Reinforcement Learning-Based Approach for a Single Vehicle Persistent Surveillance Problem with Fuel Constraints
by: Mishra, Manav, et al.
Published: (2024)

Autonomous Navigation of an Ultrasound Probe Towards Standard Scan Planes with Deep Reinforcement Learning
by: Li, Keyu, et al.
Published: (2021)

Learning Inverse Kinodynamics for Autonomous Vehicle Drifting
by: Suvarna, M., et al.
Published: (2024)

Efficient and Generalized end-to-end Autonomous Driving System with Latent Deep Reinforcement Learning and Demonstrations
by: Tang, Zuojin, et al.
Published: (2024)

Compressing Deep Reinforcement Learning Networks with a Dynamic Structured Pruning Method for Autonomous Driving
by: Su, Wensheng, et al.
Published: (2024)

A Platform-Agnostic Deep Reinforcement Learning Framework for Effective Sim2Real Transfer towards Autonomous Driving
by: Li, Dianzhao, et al.
Published: (2023)

DiffTORI: Differentiable Trajectory Optimization for Deep Reinforcement and Imitation Learning
by: Wan, Weikang, et al.
Published: (2024)

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

RouteFormer: A Transformer-Based Routing Framework for Autonomous Vehicles
by: Youssef, Yazan, et al.
Published: (2025)

RACE-SM: Reinforcement Learning Based Autonomous Control for Social On-Ramp Merging
by: Poots, Jordan
Published: (2024)

FOUNDER: Grounding Foundation Models in World Models for Open-Ended Embodied Decision Making
by: Wang, Yucen, et al.
Published: (2025)

Validity Learning on Failures: Mitigating the Distribution Shift in Autonomous Vehicle Planning
by: Arasteh, Fazel, et al.
Published: (2024)

Learning to Play Air Hockey with Model-Based Deep Reinforcement Learning
by: Orsula, Andrej
Published: (2024)

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

Interactive Double Deep Q-network: Integrating Human Interventions and Evaluative Predictions in Reinforcement Learning of Autonomous Driving
by: Sygkounas, Alkis, et al.
Published: (2025)

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

Uncertainty-aware Efficient Subgraph Isomorphism using Graph Topology
by: Kusari, Arpan, et al.
Published: (2022)

Research on Autonomous Robots Navigation based on Reinforcement Learning
by: Wang, Zixiang, et al.
Published: (2024)

PLM-Net: Perception Latency Mitigation Network for Vision-Based Lateral Control of Autonomous Vehicles
by: Khalil, Aws, et al.
Published: (2024)

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

GSAVS: Gaussian Splatting-based Autonomous Vehicle Simulator
by: Wilson, Rami
Published: (2024)

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)

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

Random Network Distillation Based Deep Reinforcement Learning for AGV Path Planning
by: Yin, Huilin, et al.
Published: (2024)

Robot Navigation with Entity-Based Collision Avoidance using Deep Reinforcement Learning
by: Kolomeytsev, Yury, et al.
Published: (2024)

An Online Spatial-Temporal Graph Trajectory Planner for Autonomous Vehicles
by: Samiuddin, Jilan, 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)

Task-specific Subnetwork Discovery in Reinforcement Learning for Autonomous Underwater Navigation
by: Liu, Yi-Ling, et al.
Published: (2026)

Bayesian Deep Learning for Segmentation for Autonomous Safe Planetary Landing
by: Tomita, Kento, et al.
Published: (2021)

A Safe Reinforcement Learning driven Weights-varying Model Predictive Control for Autonomous Vehicle Motion Control
by: Zarrouki, Baha, et al.
Published: (2024)

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

Hybrid Action Based Reinforcement Learning for Multi-Objective Compatible Autonomous Driving
by: Jin, Guizhe, et al.
Published: (2025)

Online Decision MetaMorphFormer: A Casual Transformer-Based Reinforcement Learning Framework of Universal Embodied Intelligence
by: Ji, Luo, et al.
Published: (2024)

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

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