Cover Image

Hierarchical Generative Adversarial Imitation Learning with Mid-level Input Generation for Autonomous Driving on Urban Environments

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Couto, Gustavo Claudio Karl, Antonelo, Eric Aislan
Format:	Preprint
Published:	2023
Subjects:	Machine Learning Artificial Intelligence Robotics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Exploring multimodal implicit behavior learning for vehicle navigation in simulated cities
by: Antonelo, Eric Aislan, et al.
Published: (2025)

An Initial Study of Bird's-Eye View Generation for Autonomous Vehicles using Cross-View Transformers
by: Santos, Felipe Carlos dos, et al.
Published: (2025)

Hybrid Imitation-Learning Motion Planner for Urban Driving
by: Gariboldi, Cristian, et al.
Published: (2024)

PP-TIL: Personalized Planning for Autonomous Driving with Instance-based Transfer Imitation Learning
by: Lin, Fangze, 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)

Generalization Capability for Imitation Learning
by: Wang, Yixiao
Published: (2025)

Diffusion-Reward Adversarial Imitation Learning
by: Lai, Chun-Mao, et al.
Published: (2024)

DecompGAIL: Learning Realistic Traffic Behaviors with Decomposed Multi-Agent Generative Adversarial Imitation Learning
by: Guo, Ke, et al.
Published: (2025)

Learning to Drive by Imitating Surrounding Vehicles
by: Sonmez, Yasin, et al.
Published: (2025)

From Imitation to Exploration: End-to-end Autonomous Driving based on World Model
by: Li, Yueyuan, et al.
Published: (2024)

Imitation Learning Inputting Image Feature to Each Layer of Neural Network
by: Yamane, Koki, et al.
Published: (2024)

From Imitation to Optimization: A Comparative Study of Offline Learning for Autonomous Driving
by: Guillen-Perez, Antonio
Published: (2025)

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

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions
by: Zhao, Albert, et al.
Published: (2025)

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

Symbolic Imitation Learning: From Black-Box to Explainable Driving Policies
by: Sharifi, Iman, et al.
Published: (2023)

Hierarchical and Modular Network on Non-prehensile Manipulation in General Environments
by: Cho, Yoonyoung, et al.
Published: (2025)

CHARMS: A Cognitive Hierarchical Agent for Reasoning and Motion Stylization in Autonomous Driving
by: Wang, Jingyi, et al.
Published: (2025)

A Simple Approach to Constraint-Aware Imitation Learning with Application to Autonomous Racing
by: Cao, Shengfan, et al.
Published: (2025)

LD-Scene: LLM-Guided Diffusion for Controllable Generation of Adversarial Safety-Critical Driving Scenarios
by: Peng, Mingxing, et al.
Published: (2025)

Learning Soft Driving Constraints from Vectorized Scene Embeddings while Imitating Expert Trajectories
by: Mobarakeh, Niloufar Saeidi, et al.
Published: (2024)

Generalized Animal Imitator: Agile Locomotion with Versatile Motion Prior
by: Yang, Ruihan, et al.
Published: (2023)

Hi-Drive: Hierarchical POMDP Planning for Safe Autonomous Driving in Diverse Urban Environments
by: Jin, Xuanjin, et al.
Published: (2024)

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

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

GBC: Generalized Behavior-Cloning Framework for Whole-Body Humanoid Imitation
by: Yao, Yifei, et al.
Published: (2025)

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

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

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

What Matters to Enhance Traffic Rule Compliance of Imitation Learning for End-to-End Autonomous Driving
by: Zhou, Hongkuan, et al.
Published: (2023)

RILe: Reinforced Imitation Learning
by: Albaba, Mert, et al.
Published: (2024)

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

Deconfounded Lifelong Learning for Autonomous Driving via Dynamic Knowledge Spaces
by: Du, Jiayuan, et al.
Published: (2026)

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

Imagination-Augmented Hierarchical Reinforcement Learning for Safe and Interactive Autonomous Driving in Urban Environments
by: Lee, Sang-Hyun, et al.
Published: (2023)

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)

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

Leveraging Procedural Generation for Learning Autonomous Peg-in-Hole Assembly in Space
by: Orsula, Andrej, et al.
Published: (2024)

RIZE: Adaptive Regularization for Imitation Learning
by: Karimi, Adib, et al.
Published: (2025)