Imagen de Portada

Action Model Learning with Guarantees

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Aineto, Diego, Scala, Enrico
Formato:	Preprint
Publicado:	2024
Materias:	Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Subgoaling Relaxation-based Heuristics for Numeric Planning with Infinite Actions
por: Aso-Mollar, Ángel, et al.
Publicado: (2025)

Handling Infinite Domain Parameters in Planning Through Best-First Search with Delayed Partial Expansions
por: Aso-Mollar, Ángel, et al.
Publicado: (2025)

Safe Learning of PDDL Domains with Conditional Effects -- Extended Version
por: Mordoch, Argaman, et al.
Publicado: (2024)

Compiling Temporal Numeric Planning into Discrete PDDL+: Extended Version
por: Micheli, Andrea, et al.
Publicado: (2026)

Explaining the Behaviour of Hybrid Systems with PDDL+ Planning
por: Aineto, Diego, et al.
Publicado: (2022)

Semi-Markov Reinforcement Learning for City-Scale EV Ride-Hailing with Feasibility-Guaranteed Actions
por: Nguyen, An, et al.
Publicado: (2026)

Two Constraint Compilation Methods for Lifted Planning
por: Mantenoglou, Periklis, et al.
Publicado: (2025)

Debiasing Reward Models by Representation Learning with Guarantees
por: Ng, Ignavier, et al.
Publicado: (2025)

Enumerating Safe Regions in Deep Neural Networks with Provable Probabilistic Guarantees
por: Marzari, Luca, et al.
Publicado: (2023)

Composing Reinforcement Learning Policies, with Formal Guarantees
por: Delgrange, Florent, et al.
Publicado: (2024)

Learning Lifted Action Models From Traces of Incomplete Actions and States
por: Jansen, Niklas, et al.
Publicado: (2025)

Model-Based Offline Reinforcement Learning with Reliability-Guaranteed Sequence Modeling
por: He, Shenghong
Publicado: (2025)

Bridging the AI Trustworthiness Gap between Functions and Norms
por: Di Scala, Daan, et al.
Publicado: (2025)

Enhancing Policy Learning with World-Action Model
por: Han, Yuci, et al.
Publicado: (2026)

Learning Lifted Action Models from Traces with Minimal Information About Actions and States
por: Gösgens, Jonas, et al.
Publicado: (2026)

Combining Abstract Argumentation and Machine Learning for Efficiently Analyzing Low-Level Process Event Streams
por: Fazzinga, Bettina, et al.
Publicado: (2025)

Off-Switching Not Guaranteed
por: Neth, Sven
Publicado: (2025)

RoboAlign: Learning Test-Time Reasoning for Language-Action Alignment in Vision-Language-Action Models
por: Kim, Dongyoung, et al.
Publicado: (2026)

Reward Bound for Behavioral Guarantee of Model-based Planning Agents
por: An, Zhiyu, et al.
Publicado: (2024)

Safety Guarantees in Zero-Shot Reinforcement Learning for Cascade Dynamical Systems
por: Rabiei, Shima, et al.
Publicado: (2026)

Learning Lifted Action Models from Unsupervised Visual Traces
por: Xi, Kai, et al.
Publicado: (2026)

RAMP: Hybrid DRL for Online Learning of Numeric Action Models
por: Benyamin, Yarin, et al.
Publicado: (2026)

Towards Optimal Performance and Action Consistency Guarantees in Dec-POMDPs with Inconsistent Beliefs and Limited Communication
por: Shimron, Moshe Rafaeli, et al.
Publicado: (2025)

Learning Variable Impedance Skills from Demonstrations with Passivity Guarantee
por: Zhang, Yu, et al.
Publicado: (2023)

Integrating Reinforcement Learning, Action Model Learning, and Numeric Planning for Tackling Complex Tasks
por: Benyamin, Yarin, et al.
Publicado: (2025)

Conditional Performance Guarantee for Large Reasoning Models
por: Huang, Jianguo, et al.
Publicado: (2026)

Probabilistic Verification of Recurrent Neural Networks for Single and Multi-Agent Reinforcement Learning
por: Marzari, Luca, et al.
Publicado: (2026)

"I Don't Know" -- Towards Appropriate Trust with Certainty-Aware Retrieval Augmented Generation
por: Di Scala, Daan, et al.
Publicado: (2026)

Spectral-Risk Safe Reinforcement Learning with Convergence Guarantees
por: Kim, Dohyeong, et al.
Publicado: (2024)

Probabilistic Performance Guarantees for Multi-Task Reinforcement Learning
por: Schnitzer, Yannik, et al.
Publicado: (2026)

ANML: Attribution-Native Machine Learning with Guaranteed Robustness
por: Zahn, Oliver, et al.
Publicado: (2026)

Learning Optimal and Sample-Efficient Decision Policies with Guarantees
por: Shao, Daqian
Publicado: (2026)

Learning Safe Numeric Planning Action Models
por: Mordoch, Argaman, et al.
Publicado: (2023)

Why Self-Rewarding Works: Theoretical Guarantees for Iterative Alignment of Language Models
por: Fu, Shi, et al.
Publicado: (2026)

Beyond World-Frame Action Heads: Motion-Centric Action Frames for Vision-Language-Action Models
por: Yang, Huoren, et al.
Publicado: (2026)

Counterfactual Explanations with Probabilistic Guarantees on their Robustness to Model Change
por: Stępka, Ignacy, et al.
Publicado: (2024)

Model-agnostic Selective Labeling with Provable Statistical Guarantees
por: Huang, Huipeng, et al.
Publicado: (2025)

Data-Driven Online Model Selection With Regret Guarantees
por: Pacchiano, Aldo, et al.
Publicado: (2023)

Macro-Action Based Multi-Agent Instruction Following through Value Cancellation
por: Lin, Wo Wei, et al.
Publicado: (2026)

Cooperative Backdoor Attack in Decentralized Reinforcement Learning with Theoretical Guarantee
por: Gao, Mengtong, et al.
Publicado: (2024)