:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Yan, Renye, Gan, Yaozhong, Wu, You, Xing, Junliang, Liangn, Ling, Zhu, Yeshang, Cai, Yimao
Format:	Preprint
Publié:	2024
Sujets:	Machine Learning
Accès en ligne:	https://arxiv.org/abs/2410.04498
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

The Exploration-Exploitation Dilemma Revisited: An Entropy Perspective
par: Yan, Renye, et autres
Publié: (2024)

Reflective Policy Optimization
par: Gan, Yaozhong, et autres
Publié: (2024)

Transductive Off-policy Proximal Policy Optimization
par: Gan, Yaozhong, et autres
Publié: (2024)

MARPO: A Reflective Policy Optimization for Multi Agent Reinforcement Learning
par: Wu, Cuiling, et autres
Publié: (2025)

Do Less, Achieve More: Do We Need Every-Step Optimization for RL Fine-tuning of Diffusion Models?
par: Yan, Renye, et autres
Publié: (2026)

Memento 2: Learning by Stateful Reflective Memory
par: Wang, Jun
Publié: (2025)

A Sanity Check for Multi-In-Domain Face Forgery Detection in the Real World
par: Cheng, Jikang, et autres
Publié: (2025)

AdaLomo: Low-memory Optimization with Adaptive Learning Rate
par: Lv, Kai, et autres
Publié: (2023)

Synergizing Reinforcement Learning and Genetic Algorithms for Neural Combinatorial Optimization
par: Gu, Shengda, et autres
Publié: (2025)

AdaMuon: Adaptive Muon Optimizer
par: Si, Chongjie, et autres
Publié: (2025)

Efficient Multi-Task Reinforcement Learning with Cross-Task Policy Guidance
par: He, Jinmin, et autres
Publié: (2025)

AdaCubic: An Adaptive Cubic Regularization Optimizer for Deep Learning
par: Tsingalis, Ioannis, et autres
Publié: (2026)

AdaFlow: Imitation Learning with Variance-Adaptive Flow-Based Policies
par: Hu, Xixi, et autres
Publié: (2024)

AdaCoT: Pareto-Optimal Adaptive Chain-of-Thought Triggering via Reinforcement Learning
par: Lou, Chenwei, et autres
Publié: (2025)

AdaTKG: Adaptive Memory for Temporal Knowledge Graph Reasoning
par: Lee, Seunghan, et autres
Publié: (2026)

AdaMuS: Adaptive Multi-view Sparsity Learning for Dimensionally Unbalanced Data
par: Xu, Cai, et autres
Publié: (2026)

AdaFRUGAL: Adaptive Memory-Efficient Training with Dynamic Control
par: Bui, Quang-Hung, et autres
Publié: (2025)

Memento-Skills: Let Agents Design Agents
par: Zhou, Huichi, et autres
Publié: (2026)

BiBLDR: Bidirectional Behavior Learning for Drug Repositioning
par: Zhang, Renye, et autres
Publié: (2025)

Inner-Probe: Discovering Copyright-related Data Generation in LLM Architecture
par: Ma, Qichao, et autres
Publié: (2024)

Memento: Fine-tuning LLM Agents without Fine-tuning LLMs
par: Zhou, Huichi, et autres
Publié: (2025)

AdaCL:Adaptive Continual Learning
par: Yildirim, Elif Ceren Gok, et autres
Publié: (2023)

Ada-MSHyper: Adaptive Multi-Scale Hypergraph Transformer for Time Series Forecasting
par: Shang, Zongjiang, et autres
Publié: (2024)

AdaKernel: Learning Adaptive Kernel Parameters for Spatiotemporal Graph Neural Networks
par: Zhang, Zhongyue, et autres
Publié: (2026)

AdaMeZO: Adam-style Zeroth-Order Optimizer for LLM Fine-tuning Without Maintaining the Moments
par: Cai, Zhijie, et autres
Publié: (2026)

AdaCuRL: Adaptive Curriculum Reinforcement Learning with Invalid Sample Mitigation and Historical Revisiting
par: Li, Renda, et autres
Publié: (2025)

AdaFair-MARL: Enforcing Adaptive Fairness Constraints in Multi-Agent Reinforcement Learning
par: Ekpo, Promise, et autres
Publié: (2025)

Temperature as a Meta-Policy: Adaptive Temperature in LLM Reinforcement Learning
par: Dang, Haoran, et autres
Publié: (2026)

BAPO: Stabilizing Off-Policy Reinforcement Learning for LLMs via Balanced Policy Optimization with Adaptive Clipping
par: Xi, Zhiheng, et autres
Publié: (2025)

MementoGUI: Learning Agentic Multimodal Memory Control for Long-Horizon GUI Agents
par: Zeng, Ziyun, et autres
Publié: (2026)

Network Topology Optimization via Deep Reinforcement Learning
par: Li, Zhuoran, et autres
Publié: (2022)

AdaFisher: Adaptive Second Order Optimization via Fisher Information
par: Gomes, Damien Martins, et autres
Publié: (2024)

Belief-Based Offline Reinforcement Learning for Delay-Robust Policy Optimization
par: Zhan, Simon Sinong, et autres
Publié: (2025)

MHPO: Modulated Hazard-aware Policy Optimization for Stable Reinforcement Learning
par: Wang, Hongjun, et autres
Publié: (2026)

Reinforce-Ada: An Adaptive Sampling Framework under Non-linear RL Objectives
par: Xiong, Wei, et autres
Publié: (2025)

AceGRPO: Adaptive Curriculum Enhanced Group Relative Policy Optimization for Autonomous Machine Learning Engineering
par: Cai, Yuzhu, et autres
Publié: (2026)

AdaWorld: Learning Adaptable World Models with Latent Actions
par: Gao, Shenyuan, et autres
Publié: (2025)

On the Reuse Bias in Off-Policy Reinforcement Learning
par: Ying, Chengyang, et autres
Publié: (2022)

AdaRankGrad: Adaptive Gradient-Rank and Moments for Memory-Efficient LLMs Training and Fine-Tuning
par: Refael, Yehonathan, et autres
Publié: (2024)

Adaptive Policy Synchronization for Scalable Reinforcement Learning
par: Lafuente-Mercado, Rodney
Publié: (2025)