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Offline RL

Papers

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Showing 551–600 of 755 papers

TitleStatusHype
Diffusion-Based Offline RL for Improved Decision-Making in Augmented ARC Task—0
Diffusion-DICE: In-Sample Diffusion Guidance for Offline Reinforcement Learning—0
Diffusion Policies for Out-of-Distribution Generalization in Offline Reinforcement Learning—0
Diffusion Self-Weighted Guidance for Offline Reinforcement Learning—0
Discovering Multiple Solutions from a Single Task in Offline Reinforcement Learning—0
Distributionally Robust Model-Based Offline Reinforcement Learning with Near-Optimal Sample Complexity—0
Distributionally Robust Offline Reinforcement Learning with Linear Function Approximation—0
Diverse Transformer Decoding for Offline Reinforcement Learning Using Financial Algorithmic Approaches—0
Domain Adaptation for Offline Reinforcement Learning with Limited Samples—0
Domain Generalization for Robust Model-Based Offline Reinforcement Learning—0
DOMAIN: MilDly COnservative Model-BAsed OfflINe Reinforcement Learning—0
Double Pessimism is Provably Efficient for Distributionally Robust Offline Reinforcement Learning: Generic Algorithm and Robust Partial Coverage—0
DR3: Value-Based Deep Reinforcement Learning Requires Explicit Regularization—0
DRDT3: Diffusion-Refined Decision Test-Time Training Model—0
Dual Generator Offline Reinforcement Learning—0
Efficient Imitation Learning with Conservative World Models—0
Efficient Online RL Fine Tuning with Offline Pre-trained Policy Only—0
EMaQ: Expected-Max Q-Learning Operator for Simple Yet Effective Offline and Online RL—0
Empowering Embodied Visual Tracking with Visual Foundation Models and Offline RL—0
Enabling A Network AI Gym for Autonomous Cyber Agents—0
End-to-End Offline Goal-Oriented Dialog Policy Learning via Policy Gradient—0
End-to-end Offline Reinforcement Learning for Glycemia Control—0
Energy-Weighted Flow Matching for Offline Reinforcement Learning—0
Enhanced DACER Algorithm with High Diffusion Efficiency—0
Enhancing Cross-domain Pre-Trained Decision Transformers with Adaptive Attention—0
Enhancing Offline Model-Based RL via Active Model Selection: A Bayesian Optimization Perspective—0
Enhancing Pre-Trained Decision Transformers with Prompt-Tuning Bandits—0
Enhancing Reinforcement Learning Through Guided Search—0
ENOTO: Improving Offline-to-Online Reinforcement Learning with Q-Ensembles—0
Ensemble Successor Representations for Task Generalization in Offline-to-Online Reinforcement Learning—0
Environment Transformer and Policy Optimization for Model-Based Offline Reinforcement Learning—0
Equivariant Data Augmentation for Generalization in Offline Reinforcement Learning—0
Equivariant Offline Reinforcement Learning—0
Evaluation of Active Feature Acquisition Methods for Static Feature Settings—0
Evaluation-Time Policy Switching for Offline Reinforcement Learning—0
Exclusively Penalized Q-learning for Offline Reinforcement Learning—0
Exploiting Generalization in Offline Reinforcement Learning via Unseen State Augmentations—0
Exploring the Potential of Offline RL for Reasoning in LLMs: A Preliminary Study—0
A Tractable Inference Perspective of Offline RL—0
Feasibility-Aware Pessimistic Estimation: Toward Long-Horizon Safety in Offline RL—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
Flexible Blood Glucose Control: Offline Reinforcement Learning from Human Feedback—0
Flow-Based Single-Step Completion for Efficient and Expressive Policy Learning—0
FOSP: Fine-tuning Offline Safe Policy through World Models—0
From Novelty to Imitation: Self-Distilled Rewards for Offline Reinforcement Learning—0
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Benchmark Results

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