SOTAVerified

Offline RL

Papers

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Showing 201–250 of 755 papers

TitleStatusHype
Hyperparameter Selection for Offline Reinforcement Learning—0
Contrastive Learning as Goal-Conditioned Reinforcement Learning—0
Flow-Based Single-Step Completion for Efficient and Expressive Policy Learning—0
Flexible Blood Glucose Control: Offline Reinforcement Learning from Human Feedback—0
BECAUSE: Bilinear Causal Representation for Generalizable Offline Model-based Reinforcement Learning—0
Contrastive Diffuser: Planning Towards High Return States via Contrastive Learning—0
BCRLSP: An Offline Reinforcement Learning Framework for Sequential Targeted Promotion—0
Bayesian Reparameterization of Reward-Conditioned Reinforcement Learning with Energy-based Models—0
Contextual Transformer for Offline Meta Reinforcement Learning—0
Feasibility-Aware Pessimistic Estimation: Toward Long-Horizon Safety in Offline RL—0
Context-Former: Stitching via Latent Conditioned Sequence Modeling—0
AdaCred: Adaptive Causal Decision Transformers with Feature Crediting—0
Align Your Intents: Offline Imitation Learning via Optimal Transport—0
Exploring the Potential of Offline RL for Reasoning in LLMs: A Preliminary Study—0
Hundreds Guide Millions: Adaptive Offline Reinforcement Learning with Expert Guidance—0
Exploiting Generalization in Offline Reinforcement Learning via Unseen State Augmentations—0
Achieving Fairness in Multi-Agent Markov Decision Processes Using Reinforcement Learning—0
How to Spend Your Robot Time: Bridging Kickstarting and Offline Reinforcement Learning for Vision-based Robotic Manipulation—0
Unified Preference Optimization: Language Model Alignment Beyond the Preference Frontier—0
Evaluation-Time Policy Switching for Offline Reinforcement Learning—0
Evaluation of Active Feature Acquisition Methods for Static Feature Settings—0
Equivariant Offline Reinforcement Learning—0
Equivariant Data Augmentation for Generalization in Offline Reinforcement Learning—0
Environment Transformer and Policy Optimization for Model-Based Offline Reinforcement Learning—0
Ensemble Successor Representations for Task Generalization in Offline-to-Online Reinforcement Learning—0
Conservative Data Sharing for Multi-Task Offline Reinforcement Learning—0
Batch-Constrained Distributional Reinforcement Learning for Session-based Recommendation—0
Hybrid Reinforcement Learning Breaks Sample Size Barriers in Linear MDPs—0
ENOTO: Improving Offline-to-Online Reinforcement Learning with Q-Ensembles—0
Exclusively Penalized Q-learning for Offline Reinforcement Learning—0
Confidence-Conditioned Value Functions for Offline Reinforcement Learning—0
Enhancing Reinforcement Learning Through Guided Search—0
Enhancing Pre-Trained Decision Transformers with Prompt-Tuning Bandits—0
A Validation Tool for Designing Reinforcement Learning Environments—0
Accelerating Offline Reinforcement Learning Application in Real-Time Bidding and Recommendation: Potential Use of Simulation—0
A Tractable Inference Perspective of Offline RL—0
Enhancing Offline Model-Based RL via Active Model Selection: A Bayesian Optimization Perspective—0
Constraints Penalized Q-learning for Safe Offline Reinforcement Learning—0
Enhancing Cross-domain Pre-Trained Decision Transformers with Adaptive Attention—0
Enhanced DACER Algorithm with High Diffusion Efficiency—0
Federated Offline Reinforcement Learning—0
Federated Offline Reinforcement Learning: Collaborative Single-Policy Coverage Suffices—0
Fighting Uncertainty with Gradients: Offline Reinforcement Learning via Diffusion Score Matching—0
Finer Behavioral Foundation Models via Auto-Regressive Features and Advantage Weighting—0
Finetuning from Offline Reinforcement Learning: Challenges, Trade-offs and Practical Solutions—0
Finetuning Offline World Models in the Real World—0
Energy-Weighted Flow Matching for Offline Reinforcement Learning—0
Automatic Trade-off Adaptation in Offline RL—0
H-GAP: Humanoid Control with a Generalist Planner—0
End-to-end Offline Reinforcement Learning for Glycemia Control—0
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All datasetsD4RLWalker2d

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1KFCAverage Reward81.8—Unverified
2ADMPOAverage Reward81—Unverified
3Decision Transformer (DT)Average Reward73.5—Unverified
#ModelMetricClaimedVerifiedStatus
1ParPID4RL Normalized Score151.4—Unverified