Imagen de Portada

Synthesizing world models for bilevel planning

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Ahmed, Zergham, Tenenbaum, Joshua B., Bates, Christopher J., Gershman, Samuel J.
Formato:	Preprint
Publicado:	2025
Materias:	Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Learning Abstractions for Hierarchical Planning in Program-Synthesis Agents
por: Ahmed, Zergham, et al.
Publicado: (2026)

Subjective functions
por: Gershman, Samuel J.
Publicado: (2025)

Fast weight programming and linear transformers: from machine learning to neurobiology
por: Irie, Kazuki, et al.
Publicado: (2025)

Artificial intelligence for science: The easy and hard problems
por: Battleday, Ruairidh M., et al.
Publicado: (2024)

Key-value memory in the brain
por: Gershman, Samuel J., et al.
Publicado: (2025)

Learning Iterative Reasoning through Energy Diffusion
por: Du, Yilun, et al.
Publicado: (2024)

AI Gamestore: Scalable, Open-Ended Evaluation of Machine General Intelligence with Human Games
por: Ying, Lance, et al.
Publicado: (2026)

Code-enabled language models can outperform reasoning models on diverse tasks
por: Zhang, Cedegao E., et al.
Publicado: (2025)

Infinite Ends from Finite Samples: Open-Ended Goal Inference as Top-Down Bayesian Filtering of Bottom-Up Proposals
por: Zhi-Xuan, Tan, et al.
Publicado: (2024)

Predictive representations: building blocks of intelligence
por: Carvalho, Wilka, et al.
Publicado: (2024)

Shoot First, Ask Questions Later? Building Rational Agents that Explore and Act Like People
por: Grand, Gabriel, et al.
Publicado: (2025)

Loose LIPS Sink Ships: Asking Questions in Battleship with Language-Informed Program Sampling
por: Grand, Gabriel, et al.
Publicado: (2024)

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

Adaptive Social Learning using Theory of Mind
por: Ying, Lance, et al.
Publicado: (2025)

Dissociating language and thought in large language models
por: Mahowald, Kyle, et al.
Publicado: (2023)

Assessing Adaptive World Models in Machines with Novel Games
por: Ying, Lance, et al.
Publicado: (2025)

Task diversity produces systematic transfer but inhibits continual reinforcement learning
por: Seth, Purab, et al.
Publicado: (2026)

Can LLMs plan paths in the real world?
por: Chen, Wanyi, et al.
Publicado: (2024)

Optimistic variants of single-objective bilevel optimization for evolutionary algorithms
por: Sharma, Anuraganand
Publicado: (2020)

Neuro-Symbolic Concepts
por: Mao, Jiayuan, et al.
Publicado: (2025)

Pragmatic Instruction Following and Goal Assistance via Cooperative Language-Guided Inverse Planning
por: Zhi-Xuan, Tan, et al.
Publicado: (2024)

Retro-fallback: retrosynthetic planning in an uncertain world
por: Tripp, Austin, et al.
Publicado: (2023)

Understanding Epistemic Language with a Language-augmented Bayesian Theory of Mind
por: Ying, Lance, et al.
Publicado: (2024)

What's in the Box? Reasoning about Unseen Objects from Multimodal Cues
por: Ying, Lance, et al.
Publicado: (2025)

"Just in Time" World Modeling Supports Human Planning and Reasoning
por: Chen, Tony, et al.
Publicado: (2026)

Self-Steering Language Models
por: Grand, Gabriel, et al.
Publicado: (2025)

Grounding Language about Belief in a Bayesian Theory-of-Mind
por: Ying, Lance, et al.
Publicado: (2024)

What Planning Problems Can A Relational Neural Network Solve?
por: Mao, Jiayuan, et al.
Publicado: (2023)

Sycophantic Chatbots Cause Delusional Spiraling, Even in Ideal Bayesians
por: Chandra, Kartik, et al.
Publicado: (2026)

Empathy in Explanation
por: Collins, Katherine M., et al.
Publicado: (2025)

Tactile Estimation of Extrinsic Contact Patch for Stable Placement
por: Ota, Kei, et al.
Publicado: (2023)

STAR: A Benchmark for Situated Reasoning in Real-World Videos
por: Wu, Bo, et al.
Publicado: (2024)

Scaling up the think-aloud method
por: Wurgaft, Daniel, et al.
Publicado: (2025)

Multiagent Finetuning: Self Improvement with Diverse Reasoning Chains
por: Subramaniam, Vighnesh, et al.
Publicado: (2025)

Medical Model Synthesis Architectures: A Case Study
por: Collins, Katherine M., et al.
Publicado: (2026)

Reconciling Shared versus Context-Specific Information in a Neural Network Model of Latent Causes
por: Lu, Qihong, et al.
Publicado: (2023)

LLM-Guided Probabilistic Program Induction for POMDP Model Estimation
por: Curtis, Aidan, et al.
Publicado: (2025)

Assessing model error in counterfactual worlds
por: Howerton, Emily, et al.
Publicado: (2025)

LLM world models are mental: Output layer evidence of brittle world model use in LLM mechanical reasoning
por: Robertson, Cole, et al.
Publicado: (2025)

PhyScensis: Physics-Augmented LLM Agents for Complex Physical Scene Arrangement
por: Wang, Yian, et al.
Publicado: (2026)