Copertina

RACER: Rational Artificial Intelligence Car-following-model Enhanced by Reality

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Li, Tianyi, Halatsis, Alexander, Stern, Raphael
Natura:	Preprint
Pubblicazione:	2023
Soggetti:	Artificial Intelligence Machine Learning Robotics
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

RACER: Epistemic Risk-Sensitive RL Enables Fast Driving with Fewer Crashes
di: Stachowicz, Kyle, et al.
Pubblicazione: (2024)

Crossfusor: A Cross-Attention Transformer Enhanced Conditional Diffusion Model for Car-Following Trajectory Prediction
di: You, Junwei, et al.
Pubblicazione: (2024)

MetaFollower: Adaptable Personalized Autonomous Car Following
di: Chen, Xianda, et al.
Pubblicazione: (2024)

Learning An Active Inference Model of Driver Perception and Control: Application to Vehicle Car-Following
di: Wei, Ran, et al.
Pubblicazione: (2023)

Towards an Autonomous Surface Vehicle Prototype for Artificial Intelligence Applications of Water Quality Monitoring
di: Díaz, Luis Miguel, et al.
Pubblicazione: (2024)

Evaluation of Artificial Intelligence Methods for Lead Time Prediction in Non-Cycled Areas of Automotive Production
di: Hake, Cornelius, et al.
Pubblicazione: (2025)

Reconciling Reality through Simulation: A Real-to-Sim-to-Real Approach for Robust Manipulation
di: Torne, Marcel, et al.
Pubblicazione: (2024)

EL3DD: Extended Latent 3D Diffusion for Language Conditioned Multitask Manipulation
di: Bode, Jonas, et al.
Pubblicazione: (2025)

Distributional Soft Actor-Critic with Harmonic Gradient for Safe and Efficient Autonomous Driving in Multi-lane Scenarios
di: Zhang, Feihong, et al.
Pubblicazione: (2025)

Research and Design on Intelligent Recognition of Unordered Targets for Robots Based on Reinforcement Learning
di: Mao, Yiting, et al.
Pubblicazione: (2025)

Autonomous Reality Modelling for Cultural Heritage Sites employing cooperative quadrupedal robots and unmanned aerial vehicles
di: Giakoumidis, Nikolaos, et al.
Pubblicazione: (2024)

Redefining Robot Generalization Through Interactive Intelligence
di: Dey, Sharmita
Pubblicazione: (2025)

Pelican-VL 1.0: A Foundation Brain Model for Embodied Intelligence
di: Zhang, Yi, et al.
Pubblicazione: (2025)

Embodied Neuromorphic Artificial Intelligence for Robotics: Perspectives, Challenges, and Research Development Stack
di: Putra, Rachmad Vidya Wicaksana, et al.
Pubblicazione: (2024)

Collective Intelligence for 2D Push Manipulations with Mobile Robots
di: Kuroki, So, et al.
Pubblicazione: (2022)

When Engineering Outruns Intelligence: Rethinking Instruction-Guided Navigation
di: Aghaei, Matin, et al.
Pubblicazione: (2025)

Putting the Iterative Training of Decision Trees to the Test on a Real-World Robotic Task
di: Engelhardt, Raphael C., et al.
Pubblicazione: (2024)

Video-Enhanced Offline Reinforcement Learning: A Model-Based Approach
di: Pan, Minting, et al.
Pubblicazione: (2025)

SIME: Enhancing Policy Self-Improvement with Modal-level Exploration
di: Jin, Yang, et al.
Pubblicazione: (2025)

Where are we in the search for an Artificial Visual Cortex for Embodied Intelligence?
di: Majumdar, Arjun, et al.
Pubblicazione: (2023)

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

Enabling robots to follow abstract instructions and complete complex dynamic tasks
di: Mon-Williams, Ruaridh, et al.
Pubblicazione: (2024)

Using large language models for embodied planning introduces systematic safety risks
di: Zhang, Tao, et al.
Pubblicazione: (2026)

Lightweight Multimodal Artificial Intelligence Framework for Maritime Multi-Scene Recognition
di: Xi, Xinyu, et al.
Pubblicazione: (2025)

Mesoscale Traffic Forecasting for Real-Time Bottleneck and Shockwave Prediction
di: Chekroun, Raphael, et al.
Pubblicazione: (2024)

Confidence-Controlled Exploration: Efficient Sparse-Reward Policy Learning for Robot Navigation
di: Patel, Bhrij, et al.
Pubblicazione: (2023)

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

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

Looking and Listening Inside and Outside: Multimodal Artificial Intelligence Systems for Driver Safety Assessment and Intelligent Vehicle Decision-Making
di: Greer, Ross, et al.
Pubblicazione: (2026)

Embodied-RAG: General Non-parametric Embodied Memory for Retrieval and Generation
di: Xie, Quanting, et al.
Pubblicazione: (2024)

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

Enhancing Robot Navigation Policies with Task-Specific Uncertainty Managements
di: Puthumanaillam, Gokul, et al.
Pubblicazione: (2025)

Learning Autonomy: Off-Road Navigation Enhanced by Human Input
di: Nagariya, Akhil, et al.
Pubblicazione: (2025)

General agents contain world models
di: Richens, Jonathan, et al.
Pubblicazione: (2025)

Dual-Force: Enhanced Offline Diversity Maximization under Imitation Constraints
di: Kolev, Pavel, et al.
Pubblicazione: (2025)

Enhancing RL Generalizability in Robotics through SHAP Analysis of Algorithms and Hyperparameters
di: Kong, Lingxiao, et al.
Pubblicazione: (2026)

Enhanced Importance Sampling through Latent Space Exploration in Normalizing Flows
di: Kruse, Liam A., et al.
Pubblicazione: (2025)

Dynamic Neural Curiosity Enhances Learning Flexibility for Autonomous Goal Discovery
di: Houbre, Quentin, et al.
Pubblicazione: (2024)

Vintix: Action Model via In-Context Reinforcement Learning
di: Polubarov, Andrey, et al.
Pubblicazione: (2025)

Adaptformer: Sequence models as adaptive iterative planners
di: Karthikeyan, Akash, et al.
Pubblicazione: (2024)