Copertina

Offline Trajectory Optimization for Offline Reinforcement Learning

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Zhao, Ziqi, Ren, Zhaochun, Yang, Liu, Liang, Yunsen, Yuan, Fajie, Ren, Pengjie, Chen, Zhumin, Ma, jun, Xin, Xin
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

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

Self-Supervised Position Debiasing for Large Language Models
di: Liu, Zhongkun, et al.
Pubblicazione: (2024)

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

In-Dataset Trajectory Return Regularization for Offline Preference-based Reinforcement Learning
di: Tu, Songjun, et al.
Pubblicazione: (2024)

Offline Reinforcement Learning: Role of State Aggregation and Trajectory Data
di: Jia, Zeyu, et al.
Pubblicazione: (2024)

RLSynC: Offline-Online Reinforcement Learning for Synthon Completion
di: Baker, Frazier N., et al.
Pubblicazione: (2023)

Policy-Based Trajectory Clustering in Offline Reinforcement Learning
di: Hu, Hao, et al.
Pubblicazione: (2025)

TROFI: Trajectory-Ranked Offline Inverse Reinforcement Learning
di: Sestini, Alessandro, et al.
Pubblicazione: (2025)

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

FOVA: Offline Federated Reinforcement Learning with Mixed-Quality Data
di: Qiao, Nan, et al.
Pubblicazione: (2025)

Solving Continual Offline Reinforcement Learning with Decision Transformer
di: Huang, Kaixin, et al.
Pubblicazione: (2024)

Adaptive Advantage-Guided Policy Regularization for Offline Reinforcement Learning
di: Liu, Tenglong, et al.
Pubblicazione: (2024)

GTA: Generative Trajectory Augmentation with Guidance for Offline Reinforcement Learning
di: Lee, Jaewoo, et al.
Pubblicazione: (2024)

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

Percentile Criterion Optimization in Offline Reinforcement Learning
di: Lobo, Elita A., et al.
Pubblicazione: (2024)

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

Improving Offline-to-Online Reinforcement Learning with Q Conditioned State Entropy Exploration
di: Zhang, Ziqi, et al.
Pubblicazione: (2023)

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

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

Federated Offline Policy Optimization with Dual Regularization
di: Yue, Sheng, et al.
Pubblicazione: (2024)

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

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

Exploring and Addressing Reward Confusion in Offline Preference Learning
di: Chen, Xin, et al.
Pubblicazione: (2024)

Consistency Trajectory Planning: High-Quality and Efficient Trajectory Optimization for Offline Model-Based Reinforcement Learning
di: Wang, Guanquan, et al.
Pubblicazione: (2025)

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

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

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

Provable Zero-Shot Generalization in Offline Reinforcement Learning
di: Wang, Zhiyong, et al.
Pubblicazione: (2025)

ENOTO: Improving Offline-to-Online Reinforcement Learning with Q-Ensembles
di: Zhao, Kai, et al.
Pubblicazione: (2023)

Data Center Cooling System Optimization Using Offline Reinforcement Learning
di: Zhan, Xianyuan, et al.
Pubblicazione: (2025)

DiffStitch: Boosting Offline Reinforcement Learning with Diffusion-based Trajectory Stitching
di: Li, Guanghe, et al.
Pubblicazione: (2024)

VIPO: Value Function Inconsistency Penalized Offline Reinforcement Learning
di: Chen, Xuyang, et al.
Pubblicazione: (2025)

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

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

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

Decoupled Guidance Diffusion for Adaptive Offline Safe Reinforcement Learning
di: Chen, Rufeng, et al.
Pubblicazione: (2026)

Hindsight Preference Learning for Offline Preference-based Reinforcement Learning
di: Gao, Chen-Xiao, et al.
Pubblicazione: (2024)

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

Mildly Conservative Regularized Evaluation for Offline Reinforcement Learning
di: Chen, Haohui, et al.
Pubblicazione: (2025)

Improving Offline Reinforcement Learning with Inaccurate Simulators
di: Hou, Yiwen, et al.
Pubblicazione: (2024)