Cover Image

Horizon Reduction as Information Loss in Offline Reinforcement Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Nidadala, Uday Kumar, Guthi, Venkata Bhumika
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

Switching the Loss Reduces the Cost in Batch (Offline) Reinforcement Learning
by: Ayoub, Alex, et al.
Published: (2024)

Long-Horizon Model-Based Offline Reinforcement Learning Without Explicit Conservatism
by: Ni, Tianwei, et al.
Published: (2025)

DyDiff: Long-Horizon Rollout via Dynamics Diffusion for Offline Reinforcement Learning
by: Zhao, Hanye, et al.
Published: (2024)

Information-Directed Offline-to-Online Reinforcement Learning
by: Chen, Keru
Published: (2026)

Adaptive Coarse-to-Fine Subgoal Refinement for Long-Horizon Offline Goal-Conditioned Reinforcement Learning
by: Ke, Kaiqiang, et al.
Published: (2026)

Planning Transformer: Long-Horizon Offline Reinforcement Learning with Planning Tokens
by: Clinton, Joseph, et al.
Published: (2024)

Offline Imitation Learning by Controlling the Effective Planning Horizon
by: Ahn, Hee-Jun, et al.
Published: (2024)

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

UDQL: Bridging The Gap between MSE Loss and The Optimal Value Function in Offline Reinforcement Learning
by: Zhang, Yu, et al.
Published: (2024)

Scalable Multi-Agent Offline Reinforcement Learning and the Role of Information
by: Zamboni, Riccardo, et al.
Published: (2025)

Structural Information-based Hierarchical Diffusion for Offline Reinforcement Learning
by: Zeng, Xianghua, et al.
Published: (2025)

Offline Safe Reinforcement Learning Using Trajectory Classification
by: Gong, Ze, et al.
Published: (2024)

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

Equivariant Offline Reinforcement Learning
by: Tangri, Arsh, et al.
Published: (2024)

Federated Offline Reinforcement Learning
by: Zhou, Doudou, et al.
Published: (2022)

Epistemic Robust Offline Reinforcement Learning
by: Chenreddy, Abhilash Reddy, et al.
Published: (2026)

Attention-Based Offline Reinforcement Learning and Clustering for Interpretable Sepsis Treatment
by: Kumar, Punit, et al.
Published: (2026)

Offline Multitask Representation Learning for Reinforcement Learning
by: Ishfaq, Haque, et al.
Published: (2024)

Towards an Information Theoretic Framework of Context-Based Offline Meta-Reinforcement Learning
by: Li, Lanqing, et al.
Published: (2024)

Efficient Online Reinforcement Learning Fine-Tuning Need Not Retain Offline Data
by: Zhou, Zhiyuan, et al.
Published: (2024)

Sparse Offline Reinforcement Learning with Corruption Robustness
by: Tran, Nam Phuong, et al.
Published: (2025)

Temporal Abstraction in Reinforcement Learning with Offline Data
by: Ayyagari, Ranga Shaarad, et al.
Published: (2024)

Offline Reinforcement Learning with Domain-Unlabeled Data
by: Nishimori, Soichiro, et al.
Published: (2024)

Rethinking Optimal Transport in Offline Reinforcement Learning
by: Asadulaev, Arip, et al.
Published: (2024)

Horizon Reduction Makes RL Scalable
by: Park, Seohong, et al.
Published: (2025)

Making Offline RL Online: Collaborative World Models for Offline Visual Reinforcement Learning
by: Wang, Qi, et al.
Published: (2023)

Horizon Generalization in Reinforcement Learning
by: Myers, Vivek, et al.
Published: (2025)

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

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

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

Residuals-based Offline Reinforcement Learning
by: Zhu, Qing, et al.
Published: (2026)

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

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

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

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

OER: Offline Experience Replay for Continual Offline Reinforcement Learning
by: Gai, Sibo, et al.
Published: (2023)

Bellman Calibration for $V$-Learning in Offline Reinforcement Learning
by: van der Laan, Lars, et al.
Published: (2025)

Prior-Guided Diffusion Planning for Offline Reinforcement Learning
by: Ki, Donghyeon, et al.
Published: (2025)

Semi-gradient DICE for Offline Constrained Reinforcement Learning
by: Kim, Woosung, et al.
Published: (2025)