Copertina

Multi-granularity Knowledge Transfer for Continual Reinforcement Learning

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Pan, Chaofan, Ren, Lingfei, Feng, Yihui, Xiong, Linbo, Wei, Wei, Li, Yonghao, Yang, Xin
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Regime-Adaptive Continual Learning for Portfolio Management
di: Pan, Chaofan, et al.
Pubblicazione: (2026)

Action-Adaptive Continual Learning: Enabling Policy Generalization under Dynamic Action Spaces
di: Pan, Chaofan, et al.
Pubblicazione: (2025)

A Survey of Continual Reinforcement Learning
di: Pan, Chaofan, et al.
Pubblicazione: (2025)

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

Personalized Federated Continual Learning via Multi-granularity Prompt
di: Yu, Hao, et al.
Pubblicazione: (2024)

Delta Sampling: Data-Free Knowledge Transfer Across Diffusion Models
di: Gao, Zhidong, et al.
Pubblicazione: (2025)

Centralized Reward Agent for Knowledge Sharing and Transfer in Multi-Task Reinforcement Learning
di: Ma, Haozhe, et al.
Pubblicazione: (2024)

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

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

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

Federated Continual Learning via Knowledge Fusion: A Survey
di: Yang, Xin, et al.
Pubblicazione: (2023)

Adaptive Advantage-Guided Policy Regularization for Offline Reinforcement Learning
di: Liu, Tenglong, et al.
Pubblicazione: (2024)

Elastic Multi-Gradient Descent for Parallel Continual Learning
di: Lyu, Fan, et al.
Pubblicazione: (2024)

Knowledge Retention for Continual Model-Based Reinforcement Learning
di: Sun, Yixiang, et al.
Pubblicazione: (2025)

MM-Path: Multi-modal, Multi-granularity Path Representation Learning -- Extended Version
di: Xu, Ronghui, et al.
Pubblicazione: (2024)

Provably Efficient Action-Manipulation Attack Against Continuous Reinforcement Learning
di: Luo, Zhi, et al.
Pubblicazione: (2024)

Improving Graph Few-shot Learning with Hyperbolic Space and Denoising Diffusion
di: Liu, Yonghao, et al.
Pubblicazione: (2026)

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

Offline Trajectory Optimization for Offline Reinforcement Learning
di: Zhao, Ziqi, et al.
Pubblicazione: (2024)

KG-TREAT: Pre-training for Treatment Effect Estimation by Synergizing Patient Data with Knowledge Graphs
di: Liu, Ruoqi, et al.
Pubblicazione: (2024)

Don't Forget the Critic: Value-Based Data Rehearsal for Multi-Cyclic Continual Reinforcement Learning
di: Poole, Benjamin, et al.
Pubblicazione: (2026)

Counterfactual Explanations for Continuous Action Reinforcement Learning
di: Dong, Shuyang, et al.
Pubblicazione: (2025)

Provably Efficient Reinforcement Learning for Adversarial Restless Multi-Armed Bandits with Unknown Transitions and Bandit Feedback
di: Xiong, Guojun, et al.
Pubblicazione: (2024)

Studying the Impact of Latent Representations in Implicit Neural Networks for Scientific Continuous Field Reconstruction
di: Xu, Wei, et al.
Pubblicazione: (2024)

Reset & Distill: A Recipe for Overcoming Negative Transfer in Continual Reinforcement Learning
di: Ahn, Hongjoon, et al.
Pubblicazione: (2024)

Adaptive Target Localization under Uncertainty using Multi-Agent Deep Reinforcement Learning with Knowledge Transfer
di: Alagha, Ahmed, et al.
Pubblicazione: (2025)

Reinforced Interactive Continual Learning via Real-time Noisy Human Feedback
di: Yang, Yutao, et al.
Pubblicazione: (2025)

MO-EMT-NAS: Multi-Objective Continuous Transfer of Architectural Knowledge Between Tasks from Different Datasets
di: Liao, Peng, et al.
Pubblicazione: (2024)

MVKTrans: Multi-View Knowledge Transfer for Robust Multiomics Classification
di: Cong, Shan, et al.
Pubblicazione: (2024)

DynaSearcher: Dynamic Knowledge Graph Augmented Search Agent via Multi-Reward Reinforcement Learning
di: Hao, Chuzhan, et al.
Pubblicazione: (2025)

ErrorEraser: Unlearning Data Bias for Improved Continual Learning
di: Cao, Xuemei, et al.
Pubblicazione: (2025)

Model-Based Safe Reinforcement Learning with Time-Varying State and Control Constraints: An Application to Intelligent Vehicles
di: Zhang, Xinglong, et al.
Pubblicazione: (2021)

Reinforcement Learning with Verifiable yet Noisy Rewards under Imperfect Verifiers
di: Cai, Xin-Qiang, et al.
Pubblicazione: (2025)

Knowledge Transfer for Cross-Domain Reinforcement Learning: A Systematic Review
di: Serrano, Sergio A., et al.
Pubblicazione: (2024)

Federated Natural Policy Gradient and Actor Critic Methods for Multi-task Reinforcement Learning
di: Yang, Tong, et al.
Pubblicazione: (2023)

Robust Multi-Agent Reinforcement Learning by Mutual Information Regularization
di: Li, Simin, et al.
Pubblicazione: (2023)

Knowledge Transfer in Deep Reinforcement Learning via an RL-Specific GAN-Based Correspondence Function
di: Ruman, Marko, et al.
Pubblicazione: (2022)

AdaCuRL: Adaptive Curriculum Reinforcement Learning with Invalid Sample Mitigation and Historical Revisiting
di: Li, Renda, et al.
Pubblicazione: (2025)

STEMO: Early Spatio-temporal Forecasting with Multi-Objective Reinforcement Learning
di: Shao, Wei, et al.
Pubblicazione: (2024)

Hybrid Action Based Reinforcement Learning for Multi-Objective Compatible Autonomous Driving
di: Jin, Guizhe, et al.
Pubblicazione: (2025)