Copertina

On The Planning Abilities of OpenAI's o1 Models: Feasibility, Optimality, and Generalizability

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Wang, Kevin, Li, Junbo, Bhatt, Neel P., Xi, Yihan, Liu, Qiang, Topcu, Ufuk, Wang, Zhangyang
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Artificial Intelligence Machine Learning Robotics
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Know Where You're Uncertain When Planning with Multimodal Foundation Models: A Formal Framework
di: Bhatt, Neel P., et al.
Pubblicazione: (2024)

VLN-Zero: Rapid Exploration and Cache-Enabled Neurosymbolic Vision-Language Planning for Zero-Shot Transfer in Robot Navigation
di: Bhatt, Neel P., et al.
Pubblicazione: (2025)

Fine-Tuning Language Models Using Formal Methods Feedback
di: Yang, Yunhao, et al.
Pubblicazione: (2023)

Joint Verification and Refinement of Language Models for Safety-Constrained Planning
di: Yang, Yunhao, et al.
Pubblicazione: (2024)

RepV: Safety-Separable Latent Spaces for Scalable Neurosymbolic Plan Verification
di: Yang, Yunhao, et al.
Pubblicazione: (2025)

MM3DGS SLAM: Multi-modal 3D Gaussian Splatting for SLAM Using Vision, Depth, and Inertial Measurements
di: Sun, Lisong C., et al.
Pubblicazione: (2024)

UNCAP: Uncertainty-Guided Neurosymbolic Planning Using Natural Language Communication for Cooperative Autonomous Vehicles
di: Bhatt, Neel P., et al.
Pubblicazione: (2025)

Neurosymbolic LoRA: Why and When to Tune Weights vs. Rewrite Prompts
di: Wang, Kevin, et al.
Pubblicazione: (2026)

Foundation Models for Logistics: Toward Certifiable, Conversational Planning Interfaces
di: Yang, Yunhao, et al.
Pubblicazione: (2025)

LAD-VF: LLM-Automatic Differentiation Enables Fine-Tuning-Free Robot Planning from Formal Methods Feedback
di: Yang, Yunhao, et al.
Pubblicazione: (2025)

MultiNash-PF: A Particle Filtering Approach for Computing Multiple Local Generalized Nash Equilibria in Trajectory Games
di: Bhatt, Maulik, et al.
Pubblicazione: (2024)

MoS-VLA: A Vision-Language-Action Model with One-Shot Skill Adaptation
di: Zhao, Ruihan, et al.
Pubblicazione: (2025)

Zero-Shot Transfer of Neural ODEs
di: Ingebrand, Tyler, et al.
Pubblicazione: (2024)

Online Adaptation of Terrain-Aware Dynamics for Planning in Unstructured Environments
di: Ward, William, et al.
Pubblicazione: (2025)

IG-MCTS: Human-in-the-Loop Cooperative Navigation under Incomplete Information
di: Chen, Shenghui, et al.
Pubblicazione: (2025)

GAMMA: Generalizable Articulation Modeling and Manipulation for Articulated Objects
di: Yu, Qiaojun, et al.
Pubblicazione: (2023)

Grounded World Model for Semantically Generalizable Planning
di: Li, Quanyi, et al.
Pubblicazione: (2026)

A Reinforcement Learning Approach to Quiet and Safe UAM Traffic Management
di: Murthy, Surya, et al.
Pubblicazione: (2025)

Robust Multi-Agent Reinforcement Learning for Small UAS Separation Assurance under GPS Degradation and Spoofing
di: Zongo, Alex, et al.
Pubblicazione: (2026)

Scalable Networked Feature Selection with Randomized Algorithm for Robot Navigation
di: Pandey, Vivek, et al.
Pubblicazione: (2024)

Online Foundation Model Selection in Robotics
di: Li, Po-han, et al.
Pubblicazione: (2024)

Open-Source, Cost-Aware Kinematically Feasible Planning for Mobile and Surface Robotics
di: Macenski, Steve, et al.
Pubblicazione: (2024)

Zero to Autonomy in Real-Time: Online Adaptation of Dynamics in Unstructured Environments
di: Ward, William, et al.
Pubblicazione: (2025)

Bayesian Inverse Games with High-Dimensional Multi-Modal Observations
di: Jain, Yash, et al.
Pubblicazione: (2026)

Bridging Discrete Planning and Continuous Execution for Redundant Robot
di: Yan, Teng, et al.
Pubblicazione: (2026)

Generalizable Motion Planning via Operator Learning
di: Matada, Sharath, et al.
Pubblicazione: (2024)

Transformers As Generalizable Optimal Controllers
di: Mohaya, Turki Bin, et al.
Pubblicazione: (2026)

When Should Agents Coordinate in Differentiable Sequential Decision Problems?
di: Probine, Caleb, et al.
Pubblicazione: (2026)

Feasibility-Guided Planning over Multi-Specialized Locomotion Policies
di: Luo, Ying-Sheng, et al.
Pubblicazione: (2026)

Hierarchical Control for Head-to-Head Autonomous Racing
di: Thakkar, Rishabh Saumil, et al.
Pubblicazione: (2022)

PAPO-VLA: Planning-Aware Policy Optimization for Vision-Language-Action Models
di: Guo, Peizheng, et al.
Pubblicazione: (2026)

A Comparative Study on Reasoning Patterns of OpenAI's o1 Model
di: Wu, Siwei, et al.
Pubblicazione: (2024)

GLOVER: Generalizable Open-Vocabulary Affordance Reasoning for Task-Oriented Grasping
di: Ma, Teli, et al.
Pubblicazione: (2024)

Solving Motion Planning Tasks with a Scalable Generative Model
di: Hu, Yihan, et al.
Pubblicazione: (2024)

IteraOptiRacing: A Unified Planning-Control Framework for Real-time Autonomous Racing for Iterative Optimal Performance
di: Zeng, Yifan, et al.
Pubblicazione: (2025)

GeneralVLA: Generalizable Vision-Language-Action Models with Knowledge-Guided Trajectory Planning
di: Ma, Guoqing, et al.
Pubblicazione: (2026)

Text2Motion: From Natural Language Instructions to Feasible Plans
di: Lin, Kevin, et al.
Pubblicazione: (2023)

Generalizable Friction Coefficient Estimation via Material Embedding and Proxy Interaction Modeling
di: Wang, Zhendong, et al.
Pubblicazione: (2026)

A Multi-Fidelity Control Variate Approach for Policy Gradient Estimation
di: Liu, Xinjie, et al.
Pubblicazione: (2025)

OpenAI o1 System Card
di: OpenAI, et al.
Pubblicazione: (2024)