:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Wu, Yupeng, Li, Wenyun, Huang, Wenjie, Ho, Chin Pang
Formato:	Preprint
Publicado:	2023
Materias:	Machine Learning
Acceso en línea:	https://arxiv.org/abs/2310.05179
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Shaping Sparse Rewards in Reinforcement Learning: A Semi-supervised Approach
por: Li, Wenyun, et al.
Publicado: (2025)

Generalizable Trajectory Prediction via Inverse Reinforcement Learning with Mamba-Graph Architecture
por: Li, Wenyun, et al.
Publicado: (2025)

Distributionally Robust Federated Learning: An ADMM Algorithm
por: Bai, Wen, et al.
Publicado: (2025)

BCR-DRL: Behavior- and Context-aware Reward for Deep Reinforcement Learning in Human-AI Coordination
por: Hao, Xin, et al.
Publicado: (2024)

Lightweight Online Adaption for Time Series Foundation Model Forecasts
por: Lee, Thomas L., et al.
Publicado: (2025)

EX-DRL: Hedging Against Heavy Losses with EXtreme Distributional Reinforcement Learning
por: Malekzadeh, Parvin, et al.
Publicado: (2024)

Policy Gradient in Robust MDPs with Global Convergence Guarantee
por: Wang, Qiuhao, et al.
Publicado: (2022)

Localized Dynamics-Aware Domain Adaption for Off-Dynamics Offline Reinforcement Learning
por: Xia, Zhangjie, et al.
Publicado: (2026)

Online Bayesian Risk-Averse Reinforcement Learning
por: Wang, Yuhao, et al.
Publicado: (2025)

HAIM-DRL: Enhanced Human-in-the-loop Reinforcement Learning for Safe and Efficient Autonomous Driving
por: Huang, Zilin, et al.
Publicado: (2024)

AFLoRA: Adaptive Federated Fine-Tuning of Large Language Models with Resource-Aware Low-Rank Adaption
por: Zhou, Yajie, et al.
Publicado: (2025)

FedDRL: A Trustworthy Federated Learning Model Fusion Method Based on Staged Reinforcement Learning
por: Chen, Leiming, et al.
Publicado: (2023)

Stochastic Dynamic Power Dispatch with High Generalization and Few-Shot Adaption via Contextual Meta Graph Reinforcement Learning
por: Deng, Bairong, et al.
Publicado: (2024)

Efficient Algorithms for Robust Markov Decision Processes with $s$-Rectangular Ambiguity Sets
por: Ho, Chin Pang, et al.
Publicado: (2026)

Provable Risk-Sensitive Distributional Reinforcement Learning with General Function Approximation
por: Chen, Yu, et al.
Publicado: (2024)

Seer: Online Context Learning for Fast Synchronous LLM Reinforcement Learning
por: Qin, Ruoyu, et al.
Publicado: (2025)

DRL-STAF: A Deep Reinforcement Learning Framework for State-Aware Forecasting of Complex Multivariate Hidden Markov Processes
por: Jiang, Manrui, et al.
Publicado: (2026)

Distribution-aware Online Continual Learning for Urban Spatio-Temporal Forecasting
por: Wang, Chengxin, et al.
Publicado: (2024)

Distributional Inverse Reinforcement Learning
por: Wu, Feiyang, et al.
Publicado: (2025)

Planning to Go Out-of-Distribution in Offline-to-Online Reinforcement Learning
por: McInroe, Trevor, et al.
Publicado: (2023)

ORVIT: Near-Optimal Online Distributionally Robust Reinforcement Learning
por: Ghosh, Debamita, et al.
Publicado: (2025)

Enhancing Policy Gradient with the Polyak Step-Size Adaption
por: Li, Yunxiang, et al.
Publicado: (2024)

Risk-sensitive Actor-Critic with Static Spectral Risk Measures for Online and Offline Reinforcement Learning
por: Moghimi, Mehrdad, et al.
Publicado: (2025)

TranDRL: A Transformer-Driven Deep Reinforcement Learning Enabled Prescriptive Maintenance Framework
por: Zhao, Yang, et al.
Publicado: (2023)

Policy Gradient for Robust Markov Decision Processes
por: Wang, Qiuhao, et al.
Publicado: (2024)

cc-DRL: a Convex Combined Deep Reinforcement Learning Flight Control Design for a Morphing Quadrotor
por: Yang, Tao, et al.
Publicado: (2024)

AP-DRL: A Synergistic Algorithm-Hardware Framework for Automatic Task Partitioning of Deep Reinforcement Learning on Versal ACAP
por: Li, Enlai, et al.
Publicado: (2026)

Learning Risk-Aware Quadrupedal Locomotion using Distributional Reinforcement Learning
por: Schneider, Lukas, et al.
Publicado: (2023)

Resolving Latency and Inventory Risk in Market Making with Reinforcement Learning
por: Jiang, Junzhe, et al.
Publicado: (2025)

DSAC: Distributional Soft Actor-Critic for Risk-Sensitive Reinforcement Learning
por: Ma, Xiaoteng, et al.
Publicado: (2020)

DRL4AOI: A DRL Framework for Semantic-aware AOI Segmentation in Location-Based Services
por: Lin, Youfang, et al.
Publicado: (2024)

Text-to-LoRA: Instant Transformer Adaption
por: Charakorn, Rujikorn, et al.
Publicado: (2025)

SHAP-Guided Kernel Actor-Critic for Explainable Reinforcement Learning
por: Li, Na, et al.
Publicado: (2025)

Guided Decoding for Robot On-line Motion Generation and Adaption
por: Chen, Nutan, et al.
Publicado: (2024)

Oracle-Efficient Hybrid Online Learning with Unknown Distribution
por: Wu, Changlong, et al.
Publicado: (2024)

Unsupervised-to-Online Reinforcement Learning
por: Kim, Junsu, et al.
Publicado: (2024)

Diffusion Classifier-Driven Reward for Offline Preference-based Reinforcement Learning
por: Pang, Teng, et al.
Publicado: (2025)

Offline-to-Online Reinforcement Learning with Classifier-Free Diffusion Generation
por: Huang, Xiao, et al.
Publicado: (2025)

Efficient Online Reinforcement Learning for Diffusion Policy
por: Ma, Haitong, et al.
Publicado: (2025)

Bolster Hallucination Detection via Prompt-Guided Data Augmentation
por: Li, Wenyun, et al.
Publicado: (2025)