Cover Image

Vision based driving agent for race car simulation environments

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Bári, Gergely, Palkovics, László
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

Self driving algorithm for an active four wheel drive racecar
by: Bari, Gergely, et al.
Published: (2025)

Explainable deep learning improves human mental models of self-driving cars
by: Kenny, Eoin M., et al.
Published: (2024)

Simulation-based reinforcement learning for real-world autonomous driving
by: Osiński, Błażej, et al.
Published: (2019)

Motion planning for off-road autonomous driving based on human-like cognition and weight adaptation
by: Wang, Yuchun, et al.
Published: (2024)

Automatic AI controller that can drive with confidence: steering vehicle with uncertainty knowledge
by: Kumari, Neha, et al.
Published: (2024)

Learning-based Airflow Inertial Odometry for MAVs using Thermal Anemometers in a GPS and vision denied environment
by: Wang, Ze, et al.
Published: (2025)

General agents contain world models
by: Richens, Jonathan, et al.
Published: (2025)

Multi-agent Coordination via Flow Matching
by: Lee, Dongsu, et al.
Published: (2025)

A Recipe for Stable Offline Multi-agent Reinforcement Learning
by: Lee, Dongsu, et al.
Published: (2026)

Diffusion Models for Offline Multi-agent Reinforcement Learning with Safety Constraints
by: Huang, Jianuo
Published: (2024)

Message passing-based inference in an autoregressive active inference agent
by: Kouw, Wouter M., et al.
Published: (2025)

Reinforcement-learning robotic sailboats: simulator and preliminary results
by: Vasconcellos, Eduardo Charles, et al.
Published: (2024)

RoboGPT: an intelligent agent of making embodied long-term decisions for daily instruction tasks
by: Chen, Yaran, et al.
Published: (2023)

Continuous Reasoning for Vision-Language-Action
by: Wu, Yueh-Hua, et al.
Published: (2026)

Self-driving cars: Are we there yet?
by: Atasever, Merve, et al.
Published: (2025)

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

VLMgineer: Vision Language Models as Robotic Toolsmiths
by: Gao, George Jiayuan, et al.
Published: (2025)

Vision Language Models are In-Context Value Learners
by: Ma, Yecheng Jason, et al.
Published: (2024)

Vision-Language Foundation Models as Effective Robot Imitators
by: Li, Xinghang, et al.
Published: (2023)

CRL-VLA: Continual Vision-Language-Action Learning
by: Zeng, Qixin, et al.
Published: (2026)

Task Assignment and Exploration Optimization for Low Altitude UAV Rescue via Generative AI Enhanced Multi-agent Reinforcement Learning
by: Tang, Xin, et al.
Published: (2025)

Understanding Asynchronous Inference Methods for Vision-Language-Action Models
by: Agouzoul, Ayoub
Published: (2026)

Jump-Start Reinforcement Learning with Vision-Language-Action Regularization
by: Moroncelli, Angelo, et al.
Published: (2026)

AsyncVLA: Asynchronous Flow Matching for Vision-Language-Action Models
by: Jiang, Yuhua, et al.
Published: (2025)

Verifier-free Test-Time Sampling for Vision Language Action Models
by: Jang, Suhyeok, et al.
Published: (2025)

Agentic-VLA: Efficient Online Adaptation for Vision-Language-Action Models
by: Jin, Ruofan, et al.
Published: (2026)

HyperVLA: Efficient Inference in Vision-Language-Action Models via Hypernetworks
by: Xiong, Zheng, et al.
Published: (2025)

Bridging Embodiment Gaps: Deploying Vision-Language-Action Models on Soft Robots
by: Su, Haochen, et al.
Published: (2025)

DeepThinkVLA: Enhancing Reasoning Capability of Vision-Language-Action Models
by: Yin, Cheng, et al.
Published: (2025)

villa-X: Enhancing Latent Action Modeling in Vision-Language-Action Models
by: Chen, Xiaoyu, et al.
Published: (2025)

VLAD-Grasp: Zero-shot Grasp Detection via Vision-Language Models
by: Kulshrestha, Manav, et al.
Published: (2025)

Real-World Offline Reinforcement Learning from Vision Language Model Feedback
by: Venkataraman, Sreyas, et al.
Published: (2024)

Mobile-TeleVision: Predictive Motion Priors for Humanoid Whole-Body Control
by: Lu, Chenhao, et al.
Published: (2024)

Pretrained Vision-Language-Action Models are Surprisingly Resistant to Forgetting in Continual Learning
by: Liu, Huihan, et al.
Published: (2026)

VAMOS: A Hierarchical Vision-Language-Action Model for Capability-Modulated and Steerable Navigation
by: Castro, Mateo Guaman, et al.
Published: (2025)

VER: Vision Expert Transformer for Robot Learning via Foundation Distillation and Dynamic Routing
by: Wang, Yixiao, et al.
Published: (2025)

Sim-and-Real Co-Training: A Simple Recipe for Vision-Based Robotic Manipulation
by: Maddukuri, Abhiram, et al.
Published: (2025)

IMPACT: Intelligent Motion Planning with Acceptable Contact Trajectories via Vision-Language Models
by: Ling, Yiyang, et al.
Published: (2025)

Hi Robot: Open-Ended Instruction Following with Hierarchical Vision-Language-Action Models
by: Shi, Lucy Xiaoyang, et al.
Published: (2025)

Reflective Planning: Vision-Language Models for Multi-Stage Long-Horizon Robotic Manipulation
by: Feng, Yunhai, et al.
Published: (2025)