Cover Image

FORLER: Federated Offline Reinforcement Learning with Q-Ensemble and Actor Rectification

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Qiao, Nan, Yue, Sheng
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

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

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

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

Offline Actor-Critic Reinforcement Learning Scales to Large Models
by: Springenberg, Jost Tobias, et al.
Published: (2024)

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

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

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

Proximal Action Replacement for Behavior Cloning Actor-Critic in Offline Reinforcement Learning
by: Dong, Jinzong, et al.
Published: (2026)

Exclusively Penalized Q-learning for Offline Reinforcement Learning
by: Yeom, Junghyuk, et al.
Published: (2024)

Adaptive Neighborhood-Constrained Q Learning for Offline Reinforcement Learning
by: Mao, Yixiu, et al.
Published: (2025)

Model-based Offline Reinforcement Learning with Lower Expectile Q-Learning
by: Park, Kwanyoung, et al.
Published: (2024)

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

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

Offline Reinforcement Learning in Large State Spaces: Algorithms and Guarantees
by: Jiang, Nan, et al.
Published: (2025)

Causal Flow Q-Learning for Robust Offline Reinforcement Learning
by: Li, Mingxuan, et al.
Published: (2026)

The Role of Deep Learning Regularizations on Actors in Offline RL
by: Tarasov, Denis, et al.
Published: (2024)

Efficient $Q$-Learning and Actor-Critic Methods for Robust Average Reward Reinforcement Learning
by: Xu, Yang, et al.
Published: (2025)

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

On the Complexity of Offline Reinforcement Learning with $Q^\star$-Approximation and Partial Coverage
by: Liu, Haolin, et al.
Published: (2026)

PIQL: Projective Implicit Q-Learning with Support Constraint for Offline Reinforcement Learning
by: Han, Xinchen, et al.
Published: (2025)

Pretraining a Shared Q-Network for Data-Efficient Offline Reinforcement Learning
by: Park, Jongchan, et al.
Published: (2025)

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

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

FlowQ: Energy-Guided Flow Policies for Offline Reinforcement Learning
by: Alles, Marvin, et al.
Published: (2025)

ACL-QL: Adaptive Conservative Level in Q-Learning for Offline Reinforcement Learning
by: Wu, Kun, et al.
Published: (2024)

Offline Reinforcement Learning with Discrete Diffusion Skills
by: Qiao, RuiXi, et al.
Published: (2025)

Momentum-Based Federated Reinforcement Learning with Interaction and Communication Efficiency
by: Yue, Sheng, et al.
Published: (2024)

Safe Flow Q-Learning: Offline Safe Reinforcement Learning with Reachability-Based Flow Policies
by: Tayal, Mumuksh, et al.
Published: (2026)

Offline Inverse Constrained Reinforcement Learning for Safe-Critical Decision Making in Healthcare
by: Fang, Nan, et al.
Published: (2024)

Stable CDE Autoencoders with Acuity Regularization for Offline Reinforcement Learning in Sepsis Treatment
by: Gao, Yue
Published: (2025)

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

FedSDR: Federated Self-Distillation with Rectification
by: Ren, Ziheng, et al.
Published: (2026)

Federated Natural Policy Gradient and Actor Critic Methods for Multi-task Reinforcement Learning
by: Yang, Tong, et al.
Published: (2023)

Sat-EnQ: Satisficing Ensembles of Weak Q-Learners for Reliable and Compute-Efficient Reinforcement Learning
by: Çiftçi, Ünver
Published: (2025)

SALE-Based Offline Reinforcement Learning with Ensemble Q-Networks
by: Chun, Zheng
Published: (2025)

SPEQ: Offline Stabilization Phases for Efficient Q-Learning in High Update-To-Data Ratio Reinforcement Learning
by: Romeo, Carlo, et al.
Published: (2025)

Expert Q-learning: Deep Reinforcement Learning with Coarse State Values from Offline Expert Examples
by: Meng, Li, et al.
Published: (2021)

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)