SOTAVerified

Offline RL

Papers

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Showing 351–400 of 755 papers

TitleStatusHype
CrowdPlay: Crowdsourcing human demonstration data for offline learning in Atari games—0
CtRL-Sim: Reactive and Controllable Driving Agents with Offline Reinforcement Learning—0
CUDC: A Curiosity-Driven Unsupervised Data Collection Method with Adaptive Temporal Distances for Offline Reinforcement Learning—0
Curriculum Offline Imitating Learning—0
D5RL: Diverse Datasets for Data-Driven Deep Reinforcement Learning—0
DARA: Dynamics-Aware Reward Augmentation in Offline Reinforcement Learning—0
Data Center Cooling System Optimization Using Offline Reinforcement Learning—0
Data-Efficient Pipeline for Offline Reinforcement Learning with Limited Data—0
Data Sharing without Rewards in Multi-Task Offline Reinforcement Learning—0
Consistent time travel for realistic interactions with historical data: reinforcement learning for market making—0
Decision SpikeFormer: Spike-Driven Transformer for Decision Making—0
Deep Offline Reinforcement Learning for Real-world Treatment Optimization Applications—0
Deep RL with Hierarchical Action Exploration for Dialogue Generation—0
DeepThermal: Combustion Optimization for Thermal Power Generating Units Using Offline Reinforcement Learning—0
Delphic Offline Reinforcement Learning under Nonidentifiable Hidden Confounding—0
Deploying Offline Reinforcement Learning with Human Feedback—0
Design from Policies: Conservative Test-Time Adaptation for Offline Policy Optimization—0
Development and Validation of Heparin Dosing Policies Using an Offline Reinforcement Learning Algorithm—0
Dialogue Evaluation with Offline Reinforcement Learning—0
DIAR: Diffusion-model-guided Implicit Q-learning with Adaptive Revaluation—0
DiffPoGAN: Diffusion Policies with Generative Adversarial Networks for Offline Reinforcement Learning—0
DiffStitch: Boosting Offline Reinforcement Learning with Diffusion-based Trajectory Stitching—0
Diffused Task-Agnostic Milestone Planner—0
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
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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