Cover Image

Scale-Adaptive Balancing of Exploration and Exploitation in Classical Planning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wissow, Stephen, Asai, Masataro
Format:	Preprint
Published:	2023
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

Bilevel MCTS for Amortized O(1) Node Selection in Classical Planning
by: Asai, Masataro
Published: (2025)

"Don't Do That!": Guiding Embodied Systems through Large Language Model-based Constraint Generation
by: Seffo, Amin, et al.
Published: (2025)

Query Decomposition for RAG: Balancing Exploration-Exploitation
by: Petcu, Roxana, et al.
Published: (2025)

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

Pass@k Training for Adaptively Balancing Exploration and Exploitation of Large Reasoning Models
by: Chen, Zhipeng, et al.
Published: (2025)

$ϕ$-Decoding: Adaptive Foresight Sampling for Balanced Inference-Time Exploration and Exploitation
by: Xu, Fangzhi, et al.
Published: (2025)

SELF-REDRAFT: Eliciting Intrinsic Exploration-Exploitation Balance in Test-Time Scaling for Code Generation
by: Chen, Yixiang, et al.
Published: (2025)

On Using Admissible Bounds for Learning Forward Search Heuristics
by: Núñez-Molina, Carlos, et al.
Published: (2023)

Balancing Exploration and Exploitation in LLM using Soft RLLF for Enhanced Negation Understanding
by: Nguyen, Ha-Thanh, et al.
Published: (2024)

An Improved FOX Optimization Algorithm Using Adaptive Exploration and Exploitation for Global Optimization
by: Jumaah, Mahmood A., et al.
Published: (2025)

Count-based Novelty Exploration in Classical Planning
by: Rosa, Giacomo, et al.
Published: (2024)

B-STaR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners
by: Zeng, Weihao, et al.
Published: (2024)

Enhancing Adversarial Transferability by Balancing Exploration and Exploitation with Gradient-Guided Sampling
by: Niu, Zenghao, et al.
Published: (2025)

ETTRL: Balancing Exploration and Exploitation in LLM Test-Time Reinforcement Learning Via Entropy Mechanism
by: Liu, Jia, et al.
Published: (2025)

In-context Exploration-Exploitation for Reinforcement Learning
by: Dai, Zhenwen, et al.
Published: (2024)

Exploitation Is All You Need... for Exploration
by: Rentschler, Micah, et al.
Published: (2025)

Exploration and Exploitation Errors Are Measurable for Language Model Agents
by: Park, Jaden, et al.
Published: (2026)

Navigating the Exploration-Exploitation Tradeoff in Inference-Time Scaling of Diffusion Models
by: Su, Xun, et al.
Published: (2025)

Accelerating Large-Scale Dataset Distillation via Exploration-Exploitation Optimization
by: Alahmadi, Muhammad J., et al.
Published: (2026)

HTPO: Towards Exploration-Exploitation Balanced Policy Optimization via Hierarchical Token-level Objective Control
by: Yao, Xincheng, et al.
Published: (2026)

WESE: Weak Exploration to Strong Exploitation for LLM Agents
by: Huang, Xu, et al.
Published: (2024)

Structural Induced Exploration for Balanced and Scalable Multi-Robot Path Planning
by: Guo, Zikun, et al.
Published: (2025)

MAGE: Meta-Reinforcement Learning for Language Agents toward Strategic Exploration and Exploitation
by: Yang, Lu, et al.
Published: (2026)

A Balanced Approach of Rapid Genetic Exploration and Surrogate Exploitation for Hyperparameter Optimization
by: Kim, Chul, et al.
Published: (2025)

Decoupling Exploration and Exploitation for Unsupervised Pre-training with Successor Features
by: Kim, JaeYoon, et al.
Published: (2024)

ORBIT: On-policy Exploration-Exploitation for Controllable Multi-Budget Reasoning
by: Liang, Kun, et al.
Published: (2026)

Structured Exploration and Exploitation of Label Functions for Automated Data Annotation
by: Lam, Phong, et al.
Published: (2026)

Disentangling Exploration of Large Language Models by Optimal Exploitation
by: Grams, Tim, et al.
Published: (2025)

Adaptive Data Exploitation in Deep Reinforcement Learning
by: Yuan, Mingqi, et al.
Published: (2025)

Strategy-Augmented Planning for Large Language Models via Opponent Exploitation
by: Xu, Shuai, et al.
Published: (2025)

Controlling Exploration-Exploitation in GFlowNets via Markov Chain Perspectives
by: Chen, Lin, et al.
Published: (2026)

HyPER: Bridging Exploration and Exploitation for Scalable LLM Reasoning with Hypothesis Path Expansion and Reduction
by: Qiu, Shengxuan, et al.
Published: (2026)

StratFormer: Adaptive Opponent Modeling and Exploitation in Imperfect-Information Games
by: Caen, Andy, et al.
Published: (2026)

Co-Exploration and Co-Exploitation via Shared Structure in Multi-Task Bandits
by: Mukherjee, Sumantrak, et al.
Published: (2025)

AdaSwitch: Balancing Exploration and Guidance in Knowledge Distillation via Adaptive Switching
by: Peng, Jingyu, et al.
Published: (2025)

Code Repair with LLMs gives an Exploration-Exploitation Tradeoff
by: Tang, Hao, et al.
Published: (2024)

First-Explore, then Exploit: Meta-Learning to Solve Hard Exploration-Exploitation Trade-Offs
by: Norman, Ben, et al.
Published: (2023)

DGRO: Enhancing LLM Reasoning via Exploration-Exploitation Control and Reward Variance Management
by: Su, Xuerui, et al.
Published: (2025)

Dual-Dimensional Consistency: Balancing Budget and Quality in Adaptive Inference-Time Scaling
by: Xu, Rongman, et al.
Published: (2026)