:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Zhang, Haichao, Xu, We, Yu, Haonan
Natura:	Preprint
Pubblicazione:	2023
Soggetti:	Artificial Intelligence
Accesso online:	https://arxiv.org/abs/2302.00935
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

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

Pessimistic Auxiliary Policy for Offline Reinforcement Learning
di: Zhang, Fan, et al.
Pubblicazione: (2026)

Adaptive Policy Selection and Fine-Tuning under Interaction Budgets for Offline-to-Online Reinforcement Learning
di: Bozkurt, Alper Kamil, et al.
Pubblicazione: (2026)

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

Robust Policy Expansion for Offline-to-Online RL under Diverse Data Corruption
di: He, Longxiang, et al.
Pubblicazione: (2025)

BORA: Bridging Offline Reinforcement Learning and Online Residual Adaptation for Real-World Dexterous VLA Models
di: Chen, Zhongxi, et al.
Pubblicazione: (2026)

SAMG: Offline-to-Online Reinforcement Learning via State-Action-Conditional Offline Model Guidance
di: Zhang, Liyu, et al.
Pubblicazione: (2024)

Policy-regularized Offline Multi-objective Reinforcement Learning
di: Lin, Qian, et al.
Pubblicazione: (2024)

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

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

Ensemble Successor Representations for Task Generalization in Offline-to-Online Reinforcement Learning
di: Wang, Changhong, et al.
Pubblicazione: (2024)

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

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

Offline Policy Evaluation for Reinforcement Learning with Adaptively Collected Data
di: Madhow, Sunil, et al.
Pubblicazione: (2023)

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

Flow-Based Policy for Online Reinforcement Learning
di: Lv, Lei, et al.
Pubblicazione: (2025)

Policy Constraint by Only Support Constraint for Offline Reinforcement Learning
di: Gao, Yunkai, et al.
Pubblicazione: (2025)

Offline-to-Online Multi-Agent Reinforcement Learning with Offline Value Function Memory and Sequential Exploration
di: Zhong, Hai, et al.
Pubblicazione: (2024)

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

RankQ: Offline-to-Online Reinforcement Learning via Self-Supervised Action Ranking
di: Choi, Andrew, et al.
Pubblicazione: (2026)

Adaptive Replay Buffer for Offline-to-Online Reinforcement Learning
di: Song, Chihyeon, et al.
Pubblicazione: (2025)

Discrete Flow Matching for Offline-to-Online Reinforcement Learning
di: Khan, Fairoz Nower, et al.
Pubblicazione: (2026)

LLM-Driven Policy Diffusion: Enhancing Generalization in Offline Reinforcement Learning
di: Zhang, Hanping, et al.
Pubblicazione: (2025)

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

Evaluation-Time Policy Switching for Offline Reinforcement Learning
di: Neggatu, Natinael Solomon, et al.
Pubblicazione: (2025)

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

Robot Policy Learning with Temporal Optimal Transport Reward
di: Fu, Yuwei, et al.
Pubblicazione: (2024)

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

Flow Matching with Injected Noise for Offline-to-Online Reinforcement Learning
di: Shin, Yongjae, et al.
Pubblicazione: (2026)

Bridging Domain Gaps with Target-Aligned Generation for Offline Reinforcement Learning
di: Kim, Minung, et al.
Pubblicazione: (2026)

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

When is Offline Policy Selection Sample Efficient for Reinforcement Learning?
di: Liu, Vincent, et al.
Pubblicazione: (2023)

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

Constraint-Adaptive Policy Switching for Offline Safe Reinforcement Learning
di: Chemingui, Yassine, et al.
Pubblicazione: (2024)

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

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

Residual Q-Learning: Offline and Online Policy Customization without Value
di: Li, Chenran, et al.
Pubblicazione: (2023)

Policy-Driven World Model Adaptation for Robust Offline Model-based Reinforcement Learning
di: Chen, Jiayu, et al.
Pubblicazione: (2025)

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

Selective Reincarnation: Offline-to-Online Multi-Agent Reinforcement Learning
di: Formanek, Claude, et al.
Pubblicazione: (2023)