Cover Image

On Policy Reuse: An Expressive Language for Representing and Executing General Policies that Call Other Policies

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Bonet, Blai, Drexler, Dominik, Geffner, Hector
Format:	Preprint
Published:	2024
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Symmetries and Expressive Requirements for Learning General Policies
by: Drexler, Dominik, et al.
Published: (2024)

Learning General Policies From Examples
by: Bonet, Blai, et al.
Published: (2025)

Learning More Expressive General Policies for Classical Planning Domains
by: Ståhlberg, Simon, et al.
Published: (2024)

Learning General Policies with Policy Gradient Methods
by: Ståhlberg, Simon, et al.
Published: (2025)

Learning Generalized Policies for Fully Observable Non-Deterministic Planning Domains
by: Hofmann, Till, et al.
Published: (2024)

Efficient Lookahead Encoding and Abstracted Width for Learning General Policies in Classical Planning
by: Aichmüller, Michael, et al.
Published: (2026)

Lifted Successor Generation in Numeric Planning
by: Drexler, Dominik
Published: (2025)

Learning and Reusing Policy Decompositions for Hierarchical Generalized Planning with LLM Agents
by: Sohrabi, Shirin, et al.
Published: (2026)

Generalized Policy Improvement Algorithms with Theoretically Supported Sample Reuse
by: Queeney, James, et al.
Published: (2022)

First-Order Representation Languages for Goal-Conditioned RL
by: Ståhlberg, Simon, et al.
Published: (2025)

EXPO: Stable Reinforcement Learning with Expressive Policies
by: Dong, Perry, et al.
Published: (2025)

ASPECT:Analogical Semantic Policy Execution via Language Conditioned Transfer
by: Palattuparambil, Ajsal Shereef, et al.
Published: (2026)

Learning to Search and Searching to Learn for Generalization in Planning
by: Aichmüller, Michael, et al.
Published: (2026)

Towards Principled Graph Transformers
by: Müller, Luis, et al.
Published: (2024)

Prose2Policy (P2P): A Practical LLM Pipeline for Translating Natural-Language Access Policies into Executable Rego
by: Gupta, Vatsal, et al.
Published: (2026)

Learning Lifted STRIPS Models from Action Traces Alone: A Simple, General, and Scalable Solution
by: Gösgens, Jonas, et al.
Published: (2024)

Prism: Policy Reuse via Interpretable Strategy Mapping in Reinforcement Learning
by: Pravetz, Thomas
Published: (2026)

Executable Governance for AI: Translating Policies into Rules Using LLMs
by: Datla, Gautam Varma, et al.
Published: (2025)

Probabilistic Language Tries: A Unified Framework for Compression, Decision Policies, and Execution Reuse
by: Magarshak, Gregory
Published: (2026)

Q-Flow: Stable and Expressive Reinforcement Learning with Flow-Based Policy
by: Doo, JaeHyeok, et al.
Published: (2026)

CAPE: Capability Achievement via Policy Execution
by: Ball, David
Published: (2025)

SAIL: Faster-than-Demonstration Execution of Imitation Learning Policies
by: Arachchige, Nadun Ranawaka, et al.
Published: (2025)

Real-Time Execution of Action Chunking Flow Policies
by: Black, Kevin, et al.
Published: (2025)

Enhancing Traffic Signal Control through Model-based Reinforcement Learning and Policy Reuse
by: Li, Yihong, et al.
Published: (2025)

LLM-Evolved Pattern Generators for Optimal Classical Planning
by: Phung, Windy, et al.
Published: (2026)

Learning to Ground Existentially Quantified Goals
by: Funkquist, Martin, et al.
Published: (2024)

How Should We Represent History in Interpretable Models of Clinical Policies?
by: Matsson, Anton, et al.
Published: (2024)

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

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

Parallel Lifted Planning via Semi-Naive Datalog Evaluation
by: Drexler, Dominik, et al.
Published: (2026)

Dynamic Tree Databases in Automated Planning
by: Joergensen, Oliver, et al.
Published: (2025)

On-Policy Optimization of ANFIS Policies Using Proximal Policy Optimization
by: Shankar, Kaaustaaub, et al.
Published: (2025)

Tree Search-Based Policy Optimization under Stochastic Execution Delay
by: Valensi, David, et al.
Published: (2024)

APEX: Agent Payment Execution with Policy for Autonomous Agent API Access
by: Uddin, Mohd Safwan, et al.
Published: (2026)

PAC Bench: Do Foundation Models Understand Prerequisites for Executing Manipulation Policies?
by: Gundawar, Atharva, et al.
Published: (2025)

From Off-Policy to On-Policy: Enhancing GUI Agents via Bi-level Expert-to-Policy Assimilation
by: Wang, Zezhou, et al.
Published: (2026)

Sketch Decompositions for Classical Planning via Deep Reinforcement Learning
by: Aichmüller, Michael, et al.
Published: (2024)

Understanding Annotator Safety Policy with Interpretability
by: Oesterling, Alex, et al.
Published: (2026)

GPG: Generalized Policy Gradient Theorem for Transformer-based Policies
by: Mao, Hangyu, et al.
Published: (2025)

Action-Free Reasoning for Policy Generalization
by: Clark, Jaden, et al.
Published: (2025)