Imagen de Portada

General agents contain world models

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Richens, Jonathan, Abel, David, Bellot, Alexis, Everitt, Tom
Formato:	Preprint
Publicado:	2025
Materias:	Artificial Intelligence Machine Learning Robotics
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Robust agents learn causal world models
por: Richens, Jonathan, et al.
Publicado: (2024)

The Limits of Predicting Agents from Behaviour
por: Bellot, Alexis, et al.
Publicado: (2025)

Evaluating the Goal-Directedness of Large Language Models
por: Everitt, Tom, et al.
Publicado: (2025)

Value-guided action planning with JEPA world models
por: Destrade, Matthieu, et al.
Publicado: (2025)

Partial Transportability for Domain Generalization
por: Jalaldoust, Kasra, et al.
Publicado: (2025)

GenRL: Multimodal-foundation world models for generalization in embodied agents
por: Mazzaglia, Pietro, et al.
Publicado: (2024)

Learning-augmented robotic automation for real-world manufacturing
por: Kim, Yunho, et al.
Publicado: (2026)

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

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

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

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

Vision based driving agent for race car simulation environments
por: Bári, Gergely, et al.
Publicado: (2025)

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

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

SEAL: Towards Safe Autonomous Driving via Skill-Enabled Adversary Learning for Closed-Loop Scenario Generation
por: Stoler, Benjamin, et al.
Publicado: (2024)

DR-MPC: Deep Residual Model Predictive Control for Real-world Social Navigation
por: Han, James R., et al.
Publicado: (2024)

NEST: A Neuromodulated Small-world Hypergraph Trajectory Prediction Model for Autonomous Driving
por: Wang, Chengyue, et al.
Publicado: (2024)

Force-Modulated Visual Policy for Robot-Assisted Dressing with Arm Motions
por: Hao, Alexis Yihong, et al.
Publicado: (2025)

GRAM: Generalization in Deep RL with a Robust Adaptation Module
por: Queeney, James, et al.
Publicado: (2024)

Train-Once Plan-Anywhere Kinodynamic Motion Planning via Diffusion Trees
por: Hassidof, Yaniv, et al.
Publicado: (2025)

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

A Retrospective on the Robot Air Hockey Challenge: Benchmarking Robust, Reliable, and Safe Learning Techniques for Real-world Robotics
por: Liu, Puze, et al.
Publicado: (2024)

TWISTED-RL: Hierarchical Skilled Agents for Knot-Tying without Human Demonstrations
por: Freund, Guy, et al.
Publicado: (2026)

Dream-MPC: Gradient-Based Model Predictive Control with Latent Imagination
por: Spieler, Jonathan, et al.
Publicado: (2026)

Skill Generalization with Verbs
por: Ma, Rachel, et al.
Publicado: (2024)

Tube-NeRF: Efficient Imitation Learning of Visuomotor Policies from MPC using Tube-Guided Data Augmentation and NeRFs
por: Tagliabue, Andrea, et al.
Publicado: (2023)

Trinity: Unifying Class-Agnostic Terrain and Semantic Segmentation for Unstructured Outdoor Environments by Leveraging Synthetic Data
por: Müller, Marcus G, et al.
Publicado: (2026)

Flattening Hierarchies with Policy Bootstrapping
por: Zhou, John L., et al.
Publicado: (2025)

Slot-MPC: Goal-Conditioned Model Predictive Control with Object-Centric Representations
por: Spieler, Jonathan, et al.
Publicado: (2026)

Causal Composition Diffusion Model for Closed-loop Traffic Generation
por: Lin, Haohong, et al.
Publicado: (2024)

Leveraging Analytic Gradients in Provably Safe Reinforcement Learning
por: Walter, Tim, et al.
Publicado: (2025)

Improved Constrained Generation by Bridging Pretrained Generative Models
por: Liang, Xiaoxuan, et al.
Publicado: (2026)

Efficient Imitation Without Demonstrations via Value-Penalized Auxiliary Control from Examples
por: Ablett, Trevor, et al.
Publicado: (2024)

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

Generalization in Transfer Learning
por: Ada, Suzan Ece, et al.
Publicado: (2019)

FLIP: Flow-Centric Generative Planning as General-Purpose Manipulation World Model
por: Gao, Chongkai, et al.
Publicado: (2024)

Your Learned Constraint is Secretly a Backward Reachable Tube
por: Qadri, Mohamad, et al.
Publicado: (2025)

Predicate Invention for Bilevel Planning
por: Silver, Tom, et al.
Publicado: (2022)

Generalization Capability for Imitation Learning
por: Wang, Yixiao
Publicado: (2025)

Behavior Generation with Latent Actions
por: Lee, Seungjae, et al.
Publicado: (2024)