Cover Image

Learning Hierarchical Procedural Memory for LLM Agents through Bayesian Selection and Contrastive Refinement

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Forouzandeh, Saman, Peng, Wei, Moradi, Parham, Yu, Xinghuo, Jalili, Mahdi
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

AC2L-GAD: Active Counterfactual Contrastive Learning for Graph Anomaly Detection
by: Berahmand, Kamal, et al.
Published: (2026)

Task-Adaptive Retrieval over Agentic Multi-Modal Web Histories via Learned Graph Memory
by: Forouzandeh, Saman, et al.
Published: (2026)

Clustering-based Multitasking Deep Neural Network for Solar Photovoltaics Power Generation Prediction
by: Song, Hui, et al.
Published: (2024)

Online Electric Vehicle Charging Detection Based on Memory-based Transformer using Smart Meter Data
by: Kamoona, Ammar Mansoor, et al.
Published: (2024)

Multiview graph dual-attention deep learning and contrastive learning for multi-criteria recommender systems
by: Forouzandeh, Saman, et al.
Published: (2025)

Procedural Memory Is Not All You Need: Bridging Cognitive Gaps in LLM-Based Agents
by: Wheeler, Schaun, et al.
Published: (2025)

A Fast Heuristic Search Approach for Energy-Optimal Profile Routing for Electric Vehicles
by: Ahmadi, Saman, et al.
Published: (2025)

Skill-Critic: Refining Learned Skills for Hierarchical Reinforcement Learning
by: Hao, Ce, et al.
Published: (2023)

Hierarchical Reinforcement Learning with Augmented Step-Level Transitions for LLM Agents
by: Zhen, Shuai, et al.
Published: (2026)

The Temporal Graph of Bitcoin Transactions
by: Jalili, Vahid
Published: (2025)

Refinement Contrastive Learning of Cell-Gene Associations for Unsupervised Cell Type Identification
by: Peng, Liang, et al.
Published: (2025)

Watch Every Step! LLM Agent Learning via Iterative Step-Level Process Refinement
by: Xiong, Weimin, et al.
Published: (2024)

Lattice: Learning to Efficiently Compress the Memory
by: Karami, Mahdi, et al.
Published: (2025)

A Versatile Graph Learning Approach through LLM-based Agent
by: Wei, Lanning, et al.
Published: (2023)

A Benchmark for Procedural Memory Retrieval in Language Agents
by: Kohar, Ishant, et al.
Published: (2025)

Experience-Evolving Multi-Turn Tool-Use Agent with Hybrid Episodic-Procedural Memory
by: Li, Sijia, et al.
Published: (2025)

Memp: Exploring Agent Procedural Memory
by: Fang, Runnan, et al.
Published: (2025)

MIRA: Memory-Integrated Reinforcement Learning Agent with Limited LLM Guidance
by: Nourzad, Narjes, et al.
Published: (2026)

Domain-Aware Hierarchical Contrastive Learning for Semi-Supervised Generalization Fault Diagnosis
by: Ren, Junyu, et al.
Published: (2026)

HiMAC: Hierarchical Macro-Micro Learning for Long-Horizon LLM Agents
by: Jin, Hongbo, et al.
Published: (2026)

Electric Vehicle Identification from Behind Smart Meter Data
by: Kamoona, Ammar, et al.
Published: (2025)

Resource Constrained Pathfinding with A* and Negative Weights
by: Ahmadi, Saman, et al.
Published: (2025)

State Contamination in Memory-Augmented LLM Agents
by: Wang, Yian, et al.
Published: (2026)

Rethinking Time Series Forecasting with LLMs via Nearest Neighbor Contrastive Learning
by: Bogahawatte, Jayanie, et al.
Published: (2024)

EvolveMem:Self-Evolving Memory Architecture via AutoResearch for LLM Agents
by: Liu, Jiaqi, et al.
Published: (2026)

Enhancing LLM Steering through Sparse Autoencoder-Based Vector Refinement
by: Wang, Anyi, et al.
Published: (2025)

Learning Multi-Agent Communication with Contrastive Learning
by: Lo, Yat Long, et al.
Published: (2023)

Refinement Provenance Inference: Detecting LLM-Refined Training Prompts from Model Behavior
by: Yin, Bo, et al.
Published: (2026)

When Continual Learning Moves to Memory: A Study of Experience Reuse in LLM Agents
by: Hu, Qisheng, et al.
Published: (2026)

Latent-Space Contrastive Reinforcement Learning for Stable and Efficient LLM Reasoning
by: Shan, Lianlei, et al.
Published: (2026)

Agentic Learner with Grow-and-Refine Multimodal Semantic Memory
by: Bo, Weihao, et al.
Published: (2025)

MARK: Memory Augmented Refinement of Knowledge
by: Ganguli, Anish, et al.
Published: (2025)

Environment-Aware Transfer Reinforcement Learning for Sustainable Beam Selection
by: Salami, Dariush, et al.
Published: (2025)

LEGOMem: Modular Procedural Memory for Multi-agent LLM Systems for Workflow Automation
by: Han, Dongge, et al.
Published: (2025)

MemAgent: Reshaping Long-Context LLM with Multi-Conv RL-based Memory Agent
by: Yu, Hongli, et al.
Published: (2025)

Choosing How to Remember: Adaptive Memory Structures for LLM Agents
by: Lu, Mingfei, et al.
Published: (2026)

A Review of Machine Learning-based Security in Cloud Computing
by: Babaei, Aptin, et al.
Published: (2023)

PlanLLM: Video Procedure Planning with Refinable Large Language Models
by: Yang, Dejie, et al.
Published: (2024)

Learning to Remember: End-to-End Training of Memory Agents for Long-Context Reasoning
by: Zhang, Kehao, et al.
Published: (2026)

Modular Memory is the Key to Continual Learning Agents
by: Dorovatas, Vaggelis, et al.
Published: (2026)