Image de couverture de livre

Simple Ingredients for Offline Reinforcement Learning

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Cetin, Edoardo, Tirinzoni, Andrea, Pirotta, Matteo, Lazaric, Alessandro, Ollivier, Yann, Touati, Ahmed
Format:	Preprint
Publié:	2024
Sujets:	Machine Learning Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Temporal Difference Flows
par: Farebrother, Jesse, et autres
Publié: (2025)

Compositional Planning with Jumpy World Models
par: Farebrother, Jesse, et autres
Publié: (2026)

TD-JEPA: Latent-predictive Representations for Zero-Shot Reinforcement Learning
par: Bagatella, Marco, et autres
Publié: (2025)

Fast Adaptation with Behavioral Foundation Models
par: Sikchi, Harshit, et autres
Publié: (2025)

Finer Behavioral Foundation Models via Auto-Regressive Features and Advantage Weighting
par: Cetin, Edoardo, et autres
Publié: (2024)

Zero-Shot Whole-Body Humanoid Control via Behavioral Foundation Models
par: Tirinzoni, Andrea, et autres
Publié: (2025)

SMORE: Score Models for Offline Goal-Conditioned Reinforcement Learning
par: Sikchi, Harshit, et autres
Publié: (2023)

Reinforcement Learning Teachers of Test Time Scaling
par: Cetin, Edoardo, et autres
Publié: (2025)

Sample Complexity Bounds for Stochastic Shortest Path with a Generative Model
par: Tarbouriech, Jean, et autres
Publié: (2026)

Learning from Partial Chain-of-Thought via Truncated-Reasoning Self-Distillation
par: Silvestri, Gianluigi, et autres
Publié: (2026)

A Simple Unified Uncertainty-Guided Framework for Offline-to-Online Reinforcement Learning
par: Guo, Siyuan, et autres
Publié: (2023)

A Benchmark Environment for Offline Reinforcement Learning in Racing Games
par: Macaluso, Girolamo, et autres
Publié: (2024)

TROFI: Trajectory-Ranked Offline Inverse Reinforcement Learning
par: Sestini, Alessandro, et autres
Publié: (2025)

Offline Trajectory Optimization for Offline Reinforcement Learning
par: Zhao, Ziqi, et autres
Publié: (2024)

SPEQ: Offline Stabilization Phases for Efficient Q-Learning in High Update-To-Data Ratio Reinforcement Learning
par: Romeo, Carlo, et autres
Publié: (2025)

Preference Elicitation for Offline Reinforcement Learning
par: Pace, Alizée, et autres
Publié: (2024)

State-Constrained Offline Reinforcement Learning
par: Hepburn, Charles A., et autres
Publié: (2024)

Dataset Distillation for Offline Reinforcement Learning
par: Light, Jonathan, et autres
Publié: (2024)

Offline Reinforcement Learning with Imputed Rewards
par: Romeo, Carlo, et autres
Publié: (2024)

Offline Reinforcement Learning with Imbalanced Datasets
par: Jiang, Li, et autres
Publié: (2023)

The Generalization Gap in Offline Reinforcement Learning
par: Mediratta, Ishita, et autres
Publié: (2023)

SEABO: A Simple Search-Based Method for Offline Imitation Learning
par: Lyu, Jiafei, et autres
Publié: (2024)

OffSim: Offline Simulator for Model-based Offline Inverse Reinforcement Learning
par: Ahn, Woo-Jin, et autres
Publié: (2025)

In-Context Compositional Q-Learning for Offline Reinforcement Learning
par: Xu, Qiushui, et autres
Publié: (2025)

Imagination-Limited Q-Learning for Offline Reinforcement Learning
par: Liu, Wenhui, et autres
Publié: (2025)

Mildly Conservative Q-Learning for Offline Reinforcement Learning
par: Lyu, Jiafei, et autres
Publié: (2022)

Percentile Criterion Optimization in Offline Reinforcement Learning
par: Lobo, Elita A., et autres
Publié: (2024)

Doubly Mild Generalization for Offline Reinforcement Learning
par: Mao, Yixiu, et autres
Publié: (2024)

KAN v.s. MLP for Offline Reinforcement Learning
par: Guo, Haihong, et autres
Publié: (2024)

Offline Reinforcement Learning with Behavioral Supervisor Tuning
par: Srinivasan, Padmanaba, et autres
Publié: (2024)

Mutual Information Regularized Offline Reinforcement Learning
par: Ma, Xiao, et autres
Publié: (2022)

Abstraction for Offline Goal-Conditioned Reinforcement Learning
par: Wibault, Clarisse, et autres
Publié: (2026)

Offline Reinforcement Learning with Generative Trajectory Policies
par: Feng, Xinsong, et autres
Publié: (2025)

Behavior Preference Regression for Offline Reinforcement Learning
par: Srinivasan, Padmanaba, et autres
Publié: (2025)

Online Optimization for Offline Safe Reinforcement Learning
par: Chemingui, Yassine, et autres
Publié: (2025)

Offline Reinforcement Learning with Universal Horizon Models
par: Chung, Hojun, et autres
Publié: (2026)

Flow Actor-Critic for Offline Reinforcement Learning
par: Chae, Jongseong, et autres
Publié: (2026)

The Three Regimes of Offline-to-Online Reinforcement Learning
par: Li, Lu, et autres
Publié: (2025)

Federated Ensemble-Directed Offline Reinforcement Learning
par: Rengarajan, Desik, et autres
Publié: (2023)

Tackling the Zero-Shot Reinforcement Learning Loss Directly
par: Ollivier, Yann
Publié: (2025)