Cover Image

Count-based Novelty Exploration in Classical Planning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Rosa, Giacomo, Lipovetzky, Nir
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

Planning as Goal Recognition: Deriving Heuristics from Intention Models -- Extended Version
by: Rosa, Giacomo, et al.
Published: (2026)

Planning in the Dark: LLM-Symbolic Planning Pipeline without Experts
by: Huang, Sukai, et al.
Published: (2024)

What you get is what you see: Decomposing Epistemic Planning using Functional STRIPS
by: Hu, Guang, et al.
Published: (2019)

Generalized Planning for the Abstraction and Reasoning Corpus
by: Lei, Chao, et al.
Published: (2024)

Where Common Knowledge Cannot Be Formed, Common Belief Can -- Planning with Multi-Agent Belief Using Group Justified Perspectives
by: Hu, Guang, et al.
Published: (2024)

Chasing Progress, Not Perfection: Revisiting Strategies for End-to-End LLM Plan Generation
by: Huang, Sukai, et al.
Published: (2024)

Planning-Driven Programming: A Large Language Model Programming Workflow
by: Lei, Chao, et al.
Published: (2024)

Human Goal Recognition as Bayesian Inference: Investigating the Impact of Actions, Timing, and Goal Solvability
by: Zhang, Chenyuan, et al.
Published: (2024)

Generative AI-assisted Participatory Modeling in Socio-Environmental Planning under Deep Uncertainty
by: Pei, Zhihao, et al.
Published: (2026)

From Reasoning to Generalization: Knowledge-Augmented LLMs for ARC Benchmark
by: Lei, Chao, et al.
Published: (2025)

Scale-Adaptive Balancing of Exploration and Exploitation in Classical Planning
by: Wissow, Stephen, et al.
Published: (2023)

Count Counts: Motivating Exploration in LLM Reasoning with Count-based Intrinsic Rewards
by: Zhang, Xuan, et al.
Published: (2025)

Joint Agent Memory and Exploration Learning via Novelty Signals
by: Tian, Shizuo, et al.
Published: (2026)

Novelty-based Tree-of-Thought Search for LLM Reasoning and Planning
by: Hamm, Leon, et al.
Published: (2026)

Magellan: Guided MCTS for Latent Space Exploration and Novelty Generation
by: Chang, Lufan
Published: (2025)

Novelty Heuristics, Multi-Queue Search, and Portfolios for Numeric Planning
by: Chen, Dillon Z., et al.
Published: (2024)

Settling Decentralized Multi-Agent Coordinated Exploration by Novelty Sharing
by: Jiang, Haobin, et al.
Published: (2024)

Learning to Bridge the Gap: Efficient Novelty Recovery with Planning and Reinforcement Learning
by: Li, Alicia, et al.
Published: (2024)

Counting and Reasoning with Plans
by: Speck, David, et al.
Published: (2025)

What's New in My Data? Novelty Exploration via Contrastive Generation
by: Isonuma, Masaru, et al.
Published: (2024)

Novelty Accommodating Multi-Agent Planning in High Fidelity Simulated Open World
by: Chao, James, et al.
Published: (2023)

Particle Swarm Optimization based on Novelty Search
by: Misra, Mr. Rajesh, et al.
Published: (2022)

Modeling User Exploration Saturation: When Recommender Systems Should Stop Pushing Novelty
by: Ayiku, Enock O., et al.
Published: (2026)

Nova: An Iterative Planning and Search Approach to Enhance Novelty and Diversity of LLM Generated Ideas
by: Hu, Xiang, et al.
Published: (2024)

Evaluating Novelty in AI-Generated Research Plans Using Multi-Workflow LLM Pipelines
by: Saraogi, Devesh, et al.
Published: (2025)

Plan-MCTS: Plan Exploration for Action Exploitation in Web Navigation
by: Zhang, Weiming, et al.
Published: (2026)

Novelty Adaptation Through Hybrid Large Language Model (LLM)-Symbolic Planning and LLM-guided Reinforcement Learning
by: Lu, Hong, et al.
Published: (2026)

Pseudo-Boolean Proof Logging for Optimal Classical Planning
by: Dold, Simon, et al.
Published: (2025)

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

OpenNovelty: An LLM-powered Agentic System for Verifiable Scholarly Novelty Assessment
by: Zhang, Ming, et al.
Published: (2026)

VDSC: Enhancing Exploration Timing with Value Discrepancy and State Counts
by: Captari, Marius, et al.
Published: (2024)

State-Based Disassembly Planning
by: Lei, Chao, et al.
Published: (2025)

Episodic Novelty Through Temporal Distance
by: Jiang, Yuhua, et al.
Published: (2025)

A Survey of Optimization-based Task and Motion Planning: From Classical To Learning Approaches
by: Zhao, Zhigen, et al.
Published: (2024)

Extreme Value Monte Carlo Tree Search for Classical Planning
by: Asai, Masataro, et al.
Published: (2024)

Balancing Accuracy and Novelty with Sub-Item Popularity
by: Mallamaci, Chiara, et al.
Published: (2025)

An Axiomatic Benchmark for Evaluation of Scientific Novelty Metrics
by: Liu, Miri, et al.
Published: (2026)

A Bayesian Approach to Online Planning
by: Greshler, Nir, et al.
Published: (2024)

Boltzmann-based Exploration for Robust Decentralized Multi-Agent Planning (Extended Version)
by: Nguyen, Nhat D. A., et al.
Published: (2026)

Generating Novelty in Open-World Multi-Agent Strategic Board Games
by: Kejriwal, Mayank, et al.
Published: (2025)