Cover Image

FAST: Similarity-based Knowledge Transfer for Efficient Policy Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Capurso, Alessandro, Piccoli, Elia, Bacciu, Davide
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

Calibration of Continual Learning Models
by: Li, Lanpei, et al.
Published: (2024)

Combining Pre-Trained Models for Enhanced Feature Representation in Reinforcement Learning
by: Piccoli, Elia, et al.
Published: (2025)

I Know How: Combining Prior Policies to Solve New Tasks
by: Li, Malio, et al.
Published: (2024)

ContinualFlow: Learning and Unlearning with Neural Flow Matching
by: Simone, Lorenzo, et al.
Published: (2025)

Learning Causal Abstractions of Linear Structural Causal Models
by: Massidda, Riccardo, et al.
Published: (2024)

Self-generated Replay Memories for Continual Neural Machine Translation
by: Resta, Michele, et al.
Published: (2024)

Graph Diffusion that can Insert and Delete
by: Ninniri, Matteo, et al.
Published: (2025)

Multi-Relational Graph Neural Network for Out-of-Domain Link Prediction
by: Sattar, Asma, et al.
Published: (2024)

Non-Dissipative Graph Propagation for Non-Local Community Detection
by: Leeney, William, et al.
Published: (2025)

FAST: Feature Aware Similarity Thresholding for Weak Unlearning in Black-Box Generative Models
by: Panda, Subhodip, et al.
Published: (2023)

Learning and Transferring Physical Models through Derivatives
by: Trenta, Alessandro, et al.
Published: (2025)

Message-Passing State-Space Models: Improving Graph Learning with Modern Sequence Modeling
by: Ceni, Andrea, et al.
Published: (2025)

Automatic Music Transcription using Convolutional Neural Networks and Constant-Q transform
by: Telila, Yohannis, et al.
Published: (2025)

Graph Hierarchical Recurrence for Long-Range Generalization
by: Carotti, Stefano, et al.
Published: (2026)

The Future of Continual Learning in the Era of Foundation Models: Three Key Directions
by: Bell, Jack, et al.
Published: (2025)

Stabilizing Policy Gradients for Sample-Efficient Reinforcement Learning in LLM Reasoning
by: Melo, Luckeciano C., et al.
Published: (2025)

Random-Set Graph Neural Networks
by: Woodley, Tommy, et al.
Published: (2026)

A Survey on Knowledge Editing of Neural Networks
by: Mazzia, Vittorio, et al.
Published: (2023)

Logic of Hypotheses: from Zero to Full Knowledge in Neurosymbolic Integration
by: Bizzaro, Davide, et al.
Published: (2025)

Robust Knowledge Transfer in Tiered Reinforcement Learning
by: Huang, Jiawei, et al.
Published: (2023)

Exploration in Knowledge Transfer Utilizing Reinforcement Learning
by: Jedlička, Adam, et al.
Published: (2024)

EXTRACT: Efficient Policy Learning by Extracting Transferable Robot Skills from Offline Data
by: Zhang, Jesse, et al.
Published: (2024)

Multi-granularity Knowledge Transfer for Continual Reinforcement Learning
by: Pan, Chaofan, et al.
Published: (2024)

WST: Weak-to-Strong Knowledge Transfer via Reinforcement Learning
by: Ge, Haosen, et al.
Published: (2025)

Simple and Effective Transfer Learning for Neuro-Symbolic Integration
by: Daniele, Alessandro, et al.
Published: (2024)

Learning to Reason: Temporal Saliency Distillation for Interpretable Knowledge Transfer
by: Dehigahawattage, Nilushika Udayangani Hewa, et al.
Published: (2026)

Adaptive Meta-Domain Transfer Learning (AMDTL): A Novel Approach for Knowledge Transfer in AI
by: Laurelli, Michele
Published: (2024)

Efficient Transfer Learning via Causal Bounds
by: Gong, Xueping, et al.
Published: (2023)

Similarity as Reward Alignment: Robust and Versatile Preference-based Reinforcement Learning
by: Rajaram, Sara, et al.
Published: (2025)

Relative Policy-Transition Optimization for Fast Policy Transfer
by: Xu, Jiawei, et al.
Published: (2022)

Efficient Cross-Architecture Knowledge Transfer for Large-Scale Online User Response Prediction
by: Wu, Yucheng, et al.
Published: (2026)

Interpretable Neural System Dynamics: Combining Deep Learning with System Dynamics Modeling to Support Critical Applications
by: D'Elia, Riccardo
Published: (2025)

SERE: Similarity-based Expert Re-routing for Efficient Batch Decoding in MoE Models
by: Wu, Juntong, et al.
Published: (2026)

Low-Complexity Inference in Continual Learning via Compressed Knowledge Transfer
by: Liu, Zhenrong, et al.
Published: (2025)

Exploring Open-world Continual Learning with Knowns-Unknowns Knowledge Transfer
by: Li, Yujie, et al.
Published: (2025)

Scaling Laws for Data-Efficient Visual Transfer Learning
by: Yang, Wenxuan, et al.
Published: (2025)

EPLKG: Efficient Prompt Learning with Knowledge Graph
by: Lim, YongTaek, et al.
Published: (2023)

CrowdTransfer: Enabling Crowd Knowledge Transfer in AIoT Community
by: Liu, Yan, et al.
Published: (2024)

Efficient Solution and Learning of Robust Factored MDPs
by: Schnitzer, Yannik, et al.
Published: (2025)

Learning Optimal and Sample-Efficient Decision Policies with Guarantees
by: Shao, Daqian
Published: (2026)