Learning Abstractions for Hierarchical Planning in Program-Synthesis Agents
Fuente:
arXiv
Guardado en:
| Autores principales: | Ahmed, Zergham, Irie, Kazuki, Tenenbaum, Joshua B., Bates, Christopher J., Gershman, Samuel J. |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Synthesizing world models for bilevel planning
por: Ahmed, Zergham, et al.
Publicado: (2025)
por: Ahmed, Zergham, et al.
Publicado: (2025)
Fast weight programming and linear transformers: from machine learning to neurobiology
por: Irie, Kazuki, et al.
Publicado: (2025)
por: Irie, Kazuki, et al.
Publicado: (2025)
Key-value memory in the brain
por: Gershman, Samuel J., et al.
Publicado: (2025)
por: Gershman, Samuel J., et al.
Publicado: (2025)
Subjective functions
por: Gershman, Samuel J.
Publicado: (2025)
por: Gershman, Samuel J.
Publicado: (2025)
Blending Complementary Memory Systems in Hybrid Quadratic-Linear Transformers
por: Irie, Kazuki, et al.
Publicado: (2025)
por: Irie, Kazuki, et al.
Publicado: (2025)
Keypoint Abstraction using Large Models for Object-Relative Imitation Learning
por: Fang, Xiaolin, et al.
Publicado: (2024)
por: Fang, Xiaolin, et al.
Publicado: (2024)
Artificial intelligence for science: The easy and hard problems
por: Battleday, Ruairidh M., et al.
Publicado: (2024)
por: Battleday, Ruairidh M., et al.
Publicado: (2024)
Learning Iterative Reasoning through Energy Diffusion
por: Du, Yilun, et al.
Publicado: (2024)
por: Du, Yilun, et al.
Publicado: (2024)
Overcoming classic challenges for artificial neural networks by providing incentives and practice
por: Irie, Kazuki, et al.
Publicado: (2024)
por: Irie, Kazuki, et al.
Publicado: (2024)
Loose LIPS Sink Ships: Asking Questions in Battleship with Language-Informed Program Sampling
por: Grand, Gabriel, et al.
Publicado: (2024)
por: Grand, Gabriel, et al.
Publicado: (2024)
Learning Planning Abstractions from Language
por: Liu, Weiyu, et al.
Publicado: (2024)
por: Liu, Weiyu, et al.
Publicado: (2024)
Projection Abstractions in Planning Under the Lenses of Abstractions for MDPs
por: Canonaco, Giuseppe, et al.
Publicado: (2024)
por: Canonaco, Giuseppe, 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)
por: Grand, Gabriel, et al.
Publicado: (2025)
An Algebraic Framework for Hierarchical Probabilistic Abstraction
por: Upreti, Nijesh, et al.
Publicado: (2025)
por: Upreti, Nijesh, et al.
Publicado: (2025)
Realizable Abstractions: Near-Optimal Hierarchical Reinforcement Learning
por: Cipollone, Roberto, et al.
Publicado: (2025)
por: Cipollone, Roberto, et al.
Publicado: (2025)
Pragmatic Instruction Following and Goal Assistance via Cooperative Language-Guided Inverse Planning
por: Zhi-Xuan, Tan, et al.
Publicado: (2024)
por: Zhi-Xuan, Tan, et al.
Publicado: (2024)
"Just in Time" World Modeling Supports Human Planning and Reasoning
por: Chen, Tony, et al.
Publicado: (2026)
por: Chen, Tony, et al.
Publicado: (2026)
Program Synthesis using Inductive Logic Programming for the Abstraction and Reasoning Corpus
por: Rocha, Filipe Marinho, et al.
Publicado: (2024)
por: Rocha, Filipe Marinho, et al.
Publicado: (2024)
Generalized Planning for the Abstraction and Reasoning Corpus
por: Lei, Chao, et al.
Publicado: (2024)
por: Lei, Chao, et al.
Publicado: (2024)
MoEUT: Mixture-of-Experts Universal Transformers
por: Csordás, Róbert, et al.
Publicado: (2024)
por: Csordás, Róbert, et al.
Publicado: (2024)
Adaptive Social Learning using Theory of Mind
por: Ying, Lance, et al.
Publicado: (2025)
por: Ying, Lance, et al.
Publicado: (2025)
DHP: Discrete Hierarchical Planning for Hierarchical Reinforcement Learning Agents
por: Sharma, Shashank, et al.
Publicado: (2025)
por: Sharma, Shashank, et al.
Publicado: (2025)
Decoupled Hierarchical Reinforcement Learning with State Abstraction for Discrete Grids
por: Xiao, Qingyu, et al.
Publicado: (2025)
por: Xiao, Qingyu, et al.
Publicado: (2025)
AI Gamestore: Scalable, Open-Ended Evaluation of Machine General Intelligence with Human Games
por: Ying, Lance, et al.
Publicado: (2026)
por: Ying, Lance, et al.
Publicado: (2026)
PlanTwin: Privacy-Preserving Planning Abstractions for Cloud-Assisted LLM Agents
por: Yu, Guangsheng, et al.
Publicado: (2026)
por: Yu, Guangsheng, et al.
Publicado: (2026)
Designing Domain-Specific Agents via Hierarchical Task Abstraction Mechanism
por: Li, Kaiyu, et al.
Publicado: (2025)
por: Li, Kaiyu, et al.
Publicado: (2025)
What Planning Problems Can A Relational Neural Network Solve?
por: Mao, Jiayuan, et al.
Publicado: (2023)
por: Mao, Jiayuan, et al.
Publicado: (2023)
Learning and Reusing Policy Decompositions for Hierarchical Generalized Planning with LLM Agents
por: Sohrabi, Shirin, et al.
Publicado: (2026)
por: Sohrabi, Shirin, et al.
Publicado: (2026)
Hierarchical Reinforcement Learning for Temporal Abstraction of Listwise Recommendation
por: Ji, Luo, et al.
Publicado: (2024)
por: Ji, Luo, et al.
Publicado: (2024)
Learning World Models With Hierarchical Temporal Abstractions: A Probabilistic Perspective
por: Shaj, Vaisakh
Publicado: (2024)
por: Shaj, Vaisakh
Publicado: (2024)
IntentCUA: Learning Intent-level Representations for Skill Abstraction and Multi-Agent Planning in Computer-Use Agents
por: Lee, Seoyoung, et al.
Publicado: (2026)
por: Lee, Seoyoung, et al.
Publicado: (2026)
Answer-Set-Programming-based Abstractions for Reinforcement Learning
por: Bankosegger, Rafael, et al.
Publicado: (2026)
por: Bankosegger, Rafael, et al.
Publicado: (2026)
In-Context Planning with Latent Temporal Abstractions
por: Luo, Baiting, et al.
Publicado: (2026)
por: Luo, Baiting, et al.
Publicado: (2026)
Property-Guided LLM Program Synthesis for Planning
por: Pereira, André G., et al.
Publicado: (2026)
por: Pereira, André G., et al.
Publicado: (2026)
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)
por: Zhi-Xuan, Tan, et al.
Publicado: (2024)
Language-Informed Synthesis of Rational Agent Models for Grounded Theory-of-Mind Reasoning On-The-Fly
por: Ying, Lance, et al.
Publicado: (2025)
por: Ying, Lance, et al.
Publicado: (2025)
Medical Model Synthesis Architectures: A Case Study
por: Collins, Katherine M., et al.
Publicado: (2026)
por: Collins, Katherine M., et al.
Publicado: (2026)
LLM-Guided Probabilistic Program Induction for POMDP Model Estimation
por: Curtis, Aidan, et al.
Publicado: (2025)
por: Curtis, Aidan, et al.
Publicado: (2025)
PULSE: Practical Evaluation Scenarios for Large Multimodal Model Unlearning
por: Kawakami, Tatsuki, et al.
Publicado: (2025)
por: Kawakami, Tatsuki, et al.
Publicado: (2025)
Predictive representations: building blocks of intelligence
por: Carvalho, Wilka, et al.
Publicado: (2024)
por: Carvalho, Wilka, et al.
Publicado: (2024)
Ejemplares similares
-
Synthesizing world models for bilevel planning
por: Ahmed, Zergham, et al.
Publicado: (2025) -
Fast weight programming and linear transformers: from machine learning to neurobiology
por: Irie, Kazuki, et al.
Publicado: (2025) -
Key-value memory in the brain
por: Gershman, Samuel J., et al.
Publicado: (2025) -
Subjective functions
por: Gershman, Samuel J.
Publicado: (2025) -
Blending Complementary Memory Systems in Hybrid Quadratic-Linear Transformers
por: Irie, Kazuki, et al.
Publicado: (2025)