Deep Memory Search: A Metaheuristic Approach for Optimizing Heuristic Search

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Hedar, Abdel-Rahman, Abdel-Hakim, Alaa E., Deabes, Wael, Alotaibi, Youseef, Bouazza, Kheir Eddine
Format:	Preprint
Published:	2024
Subjects:	Artificial Intelligence Machine Learning I.2.6
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

CGAN-ECT: Tomography Image Reconstruction from Electrical Capacitance Measurements Using CGANs
by: Deabes, Wael, et al.
Published: (2022)

AI and Machine Learning Approaches for Predicting Nanoparticles Toxicity The Critical Role of Physiochemical Properties
by: Yousaf, Iqra
Published: (2024)

GammaZero: Learning To Guide POMDP Belief Space Search With Graph Representations
by: Mangannavar, Rajesh, et al.
Published: (2025)

Fusing Rewards and Preferences in Reinforcement Learning
by: Khorasani, Sadegh, et al.
Published: (2025)

LeanProgress: Guiding Search for Neural Theorem Proving via Proof Progress Prediction
by: George, Robert Joseph, et al.
Published: (2025)

Rewarding Beliefs, Not Actions: Consistency-Guided Credit Assignment for Long-Horizon Agents
by: Tang, Wenjie, et al.
Published: (2026)

Multi-Agent Pathfinding with Non-Unit Integer Edge Costs via Enhanced Conflict-Based Search and Graph Discretization
by: Fan, Hongkai, et al.
Published: (2026)

Transformer Mechanisms Mimic Frontostriatal Gating Operations When Trained on Human Working Memory Tasks
by: Traylor, Aaron, et al.
Published: (2024)

Adaptable Hindsight Experience Replay for Search-Based Learning
by: Vazaios, Alexandros, et al.
Published: (2025)

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

Learning to Select Goals in Automated Planning with Deep-Q Learning
by: Núñez-Molina, Carlos, et al.
Published: (2024)

OSCToM: RL-Guided Adversarial Generation for High-Order Theory of Mind
by: Srishty, Sharmin Sultana, et al.
Published: (2026)

Fast and Precise: Adjusting Planning Horizon with Adaptive Subgoal Search
by: Zawalski, Michał, et al.
Published: (2022)

Entropy-Based Measurement of Value Drift and Alignment Work in Large Language Models
by: Fadli, Samih
Published: (2025)

Teacher-Student Guided Inverse Modeling for Steel Final Hardness Estimation
by: Alsheikh, Ahmad, et al.
Published: (2025)

Training Artificial Neural Networks by Coordinate Search Algorithm
by: Rokhsatyazdi, Ehsan, et al.
Published: (2024)

Advancing Multimodal Agent Reasoning with Long-Term Neuro-Symbolic Memory
by: Jiang, Rongjie, et al.
Published: (2026)

Interestingness as an Inductive Heuristic for Future Compression Progress
by: Herrmann, Vincent, et al.
Published: (2026)

Sim-to-reality adaptation for Deep Reinforcement Learning applied to an underwater docking application
by: Chaarani, Alaaeddine, et al.
Published: (2026)

Regret-Aware Policy Optimization: Environment-Level Memory for Replay Suppression under Delayed Harm
by: Hiremath, Prakul Sunil
Published: (2026)

Explainable Wastewater Digital Twins: Adaptive Context-Conditioned Structured Simulators with Self-Falsifying Decision Support
by: Simethy, Gary, et al.
Published: (2026)

Cost-Aware Diffusion Active Search
by: Banerjee, Arundhati, et al.
Published: (2026)

Searching Search Spaces: Meta-evolving a Geometric Encoding for Neural Networks
by: Kunze, Tarek, et al.
Published: (2024)

Interactive LLM-assisted Curriculum Learning for Multi-Task Evolutionary Policy Search
by: Sakallioglu, Berfin, et al.
Published: (2026)

Automated CAD Modeling Sequence Generation from Text Descriptions via Transformer-Based Large Language Models
by: Liao, Jianxing, et al.
Published: (2025)

JURY-RL: Votes Propose, Proofs Dispose for Label-Free RLVR
by: Chen, Xinjie, et al.
Published: (2026)

Intervention Complexity as a Canonical Reward and a Measure of Intelligence
by: McCane, Brendan
Published: (2026)

A Domain-Independent Agent Architecture for Adaptive Operation in Evolving Open Worlds
by: Mohan, Shiwali, et al.
Published: (2023)

ARCTraj: A Dataset and Benchmark of Human Reasoning Trajectories for Abstract Problem Solving
by: Kim, Sejin, et al.
Published: (2025)

BitCal-TTS: Bit-Calibrated Test-Time Scaling for Quantized Reasoning Models
by: Patarlapalli, Sai Babu, et al.
Published: (2026)

EduFlow: Advancing MLLMs' Problem-Solving Proficiency through Multi-Stage, Multi-Perspective Critique
by: Zhu, Chenglin, et al.
Published: (2025)

A Parallel Hybrid Action Space Reinforcement Learning Model for Real-world Adaptive Traffic Signal Control
by: Wang, Yuxuan, et al.
Published: (2025)

Position Paper: Bounded Alignment: What (Not) To Expect From AGI Agents
by: Minai, Ali A.
Published: (2025)

Robust and Diverse Multi-Agent Learning via Rational Policy Gradient
by: Lauffer, Niklas, et al.
Published: (2025)

Beyond Mimicry: Preference Coherence in LLMs
by: Mikaelson, Luhan, et al.
Published: (2025)

Demand-Driven Context: A Methodology for Building Enterprise Knowledge Bases Through Agent Failure
by: Navakoti, Raj, et al.
Published: (2026)

Planning vs Reasoning: Ablations to Test Capabilities of LoRA layers
by: Redkar, Neel
Published: (2024)

NeSIG: A Neuro-Symbolic Method for Learning to Generate Planning Problems
by: Núñez-Molina, Carlos, et al.
Published: (2023)

Constrained Auto-Bidding via Generative Response Modeling
by: Yang, Eunseok, et al.
Published: (2026)

CoE: Collaborative Entropy for Uncertainty Quantification in Agentic Multi-LLM Systems
by: Sun, Kangkang, et al.
Published: (2026)