Imagen de Portada

Percentile Criterion Optimization in Offline Reinforcement Learning

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Lobo, Elita A., Cousins, Cyrus, Zick, Yair, Petrik, Marek
Formato:	Preprint
Publicado:	2024
Materias:	Machine Learning Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Fair and Welfare-Efficient Constrained Multi-matchings under Uncertainty
por: Lobo, Elita, et al.
Publicado: (2024)

Data Poisoning Attacks on Off-Policy Policy Evaluation Methods
por: Lobo, Elita, et al.
Publicado: (2024)

Towards AI Transparency and Accountability: A Global Framework for Exchanging Information on AI Systems
por: Buckley, Warren, et al.
Publicado: (2023)

Solving Multi-Model MDPs by Coordinate Ascent and Dynamic Programming
por: Su, Xihong, et al.
Publicado: (2024)

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

Online Optimization for Offline Safe Reinforcement Learning
por: Chemingui, Yassine, et al.
Publicado: (2025)

Risk-averse Total-reward MDPs with ERM and EVaR
por: Su, Xihong, et al.
Publicado: (2024)

Preferred-Action-Optimized Diffusion Policies for Offline Reinforcement Learning
por: Zhang, Tianle, et al.
Publicado: (2024)

Analytic Energy-Guided Policy Optimization for Offline Reinforcement Learning
por: Hu, Jifeng, et al.
Publicado: (2025)

Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning
por: Gao, Chen-Xiao, et al.
Publicado: (2025)

Adversarial Policy Optimization for Offline Preference-based Reinforcement Learning
por: Kang, Hyungkyu, et al.
Publicado: (2025)

State-Constrained Offline Reinforcement Learning
por: Hepburn, Charles A., et al.
Publicado: (2024)

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

RASR: Risk-Averse Soft-Robust MDPs with EVaR and Entropic Risk
por: Hau, Jia Lin, et al.
Publicado: (2022)

Belief-Based Offline Reinforcement Learning for Delay-Robust Policy Optimization
por: Zhan, Simon Sinong, et al.
Publicado: (2025)

Diffusion Policies with Value-Conditional Optimization for Offline Reinforcement Learning
por: Ma, Yunchang, et al.
Publicado: (2025)

Offline Multi-Agent Reinforcement Learning via In-Sample Sequential Policy Optimization
por: Liu, Zongkai, et al.
Publicado: (2024)

Preference Elicitation for Offline Reinforcement Learning
por: Pace, Alizée, et al.
Publicado: (2024)

Simple Ingredients for Offline Reinforcement Learning
por: Cetin, Edoardo, et al.
Publicado: (2024)

Dataset Distillation for Offline Reinforcement Learning
por: Light, Jonathan, et al.
Publicado: (2024)

Offline Reinforcement Learning with Imputed Rewards
por: Romeo, Carlo, et al.
Publicado: (2024)

Offline Reinforcement Learning with Imbalanced Datasets
por: Jiang, Li, et al.
Publicado: (2023)

The Generalization Gap in Offline Reinforcement Learning
por: Mediratta, Ishita, et al.
Publicado: (2023)

OffSim: Offline Simulator for Model-based Offline Inverse Reinforcement Learning
por: Ahn, Woo-Jin, et al.
Publicado: (2025)

ISEP: Implicit Support Expansion for Offline Reinforcement Learning via Stochastic Policy Optimization
por: Chen, Yifei, et al.
Publicado: (2026)

In-Context Compositional Q-Learning for Offline Reinforcement Learning
por: Xu, Qiushui, et al.
Publicado: (2025)

Imagination-Limited Q-Learning for Offline Reinforcement Learning
por: Liu, Wenhui, et al.
Publicado: (2025)

Mildly Conservative Q-Learning for Offline Reinforcement Learning
por: Lyu, Jiafei, et al.
Publicado: (2022)

Doubly Mild Generalization for Offline Reinforcement Learning
por: Mao, Yixiu, et al.
Publicado: (2024)

KAN v.s. MLP for Offline Reinforcement Learning
por: Guo, Haihong, et al.
Publicado: (2024)

Offline Reinforcement Learning with Behavioral Supervisor Tuning
por: Srinivasan, Padmanaba, et al.
Publicado: (2024)

Mutual Information Regularized Offline Reinforcement Learning
por: Ma, Xiao, et al.
Publicado: (2022)

Abstraction for Offline Goal-Conditioned Reinforcement Learning
por: Wibault, Clarisse, et al.
Publicado: (2026)

Offline Reinforcement Learning with Generative Trajectory Policies
por: Feng, Xinsong, et al.
Publicado: (2025)

Behavior Preference Regression for Offline Reinforcement Learning
por: Srinivasan, Padmanaba, et al.
Publicado: (2025)

Offline Reinforcement Learning with Universal Horizon Models
por: Chung, Hojun, et al.
Publicado: (2026)

Flow Actor-Critic for Offline Reinforcement Learning
por: Chae, Jongseong, et al.
Publicado: (2026)

The Three Regimes of Offline-to-Online Reinforcement Learning
por: Li, Lu, et al.
Publicado: (2025)

Federated Ensemble-Directed Offline Reinforcement Learning
por: Rengarajan, Desik, et al.
Publicado: (2023)

ROAD: Adaptive Data Mixing for Offline-to-Online Reinforcement Learning via Bi-Level Optimization
por: Yang, Letian, et al.
Publicado: (2026)