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Offline RL

Papers

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Showing 301–350 of 755 papers

TitleStatusHype
Offline Inverse Constrained Reinforcement Learning for Safe-Critical Decision Making in Healthcare—0
The Smart Buildings Control Suite: A Diverse Open Source Benchmark to Evaluate and Scale HVAC Control Policies for Sustainability—0
ComaDICE: Offline Cooperative Multi-Agent Reinforcement Learning with Stationary Distribution Shift Regularization—0
OffRIPP: Offline RL-based Informative Path Planning—0
Development and Validation of Heparin Dosing Policies Using an Offline Reinforcement Learning Algorithm—0
KAN v.s. MLP for Offline Reinforcement Learning—0
Q-value Regularized Decision ConvFormer for Offline Reinforcement Learning—0
Enhancing Cross-domain Pre-Trained Decision Transformers with Adaptive Attention—0
The Role of Deep Learning Regularizations on Actors in Offline RLCode0
Tractable Offline Learning of Regular Decision Processes—0
Skills Regularized Task Decomposition for Multi-task Offline Reinforcement Learning—0
Unsupervised-to-Online Reinforcement Learning—0
Optimization Solution Functions as Deterministic Policies for Offline Reinforcement Learning—0
SUMO: Search-Based Uncertainty Estimation for Model-Based Offline Reinforcement Learning—0
Domain Adaptation for Offline Reinforcement Learning with Limited Samples—0
Leveraging Unlabeled Data Sharing through Kernel Function Approximation in Offline Reinforcement LearningCode0
Preference-Guided Reflective Sampling for Aligning Language ModelsCode0
Offline Model-Based Reinforcement Learning with Anti-Exploration—0
Integrating Multi-Modal Input Token Mixer Into Mamba-Based Decision Models: Decision MetaMamba—0
Enhancing Reinforcement Learning Through Guided Search—0
Model-based RL as a Minimalist Approach to Horizon-Free and Second-Order Bounds—0
Experimental evaluation of offline reinforcement learning for HVAC control in buildingsCode0
D5RL: Diverse Datasets for Data-Driven Deep Reinforcement Learning—0
Hybrid Reinforcement Learning Breaks Sample Size Barriers in Linear MDPs—0
Consistent time travel for realistic interactions with historical data: reinforcement learning for market making—0
Diffusion-DICE: In-Sample Diffusion Guidance for Offline Reinforcement Learning—0
Language-Conditioned Offline RL for Multi-Robot Navigation—0
Diffusion Models as Optimizers for Efficient Planning in Offline RLCode0
ROLeR: Effective Reward Shaping in Offline Reinforcement Learning for Recommender SystemsCode0
Sparsity-based Safety Conservatism for Constrained Offline Reinforcement Learning—0
BECAUSE: Bilinear Causal Representation for Generalizable Offline Model-based Reinforcement Learning—0
Pessimism Meets Risk: Risk-Sensitive Offline Reinforcement Learning—0
FOSP: Fine-tuning Offline Safe Policy through World Models—0
Robust Decision Transformer: Tackling Data Corruption in Offline RL via Sequence Modeling—0
To Switch or Not to Switch? Balanced Policy Switching in Offline Reinforcement Learning—0
Model-based Offline Reinforcement Learning with Lower Expectile Q-Learning—0
Benchmarks for Reinforcement Learning with Biased Offline Data and Imperfect Simulators—0
Preference Elicitation for Offline Reinforcement Learning—0
Equivariant Offline Reinforcement Learning—0
Urban-Focused Multi-Task Offline Reinforcement Learning with Contrastive Data Sharing—0
Order-Optimal Instance-Dependent Bounds for Offline Reinforcement Learning with Preference Feedback—0
The Role of Inherent Bellman Error in Offline Reinforcement Learning with Linear Function Approximation—0
Binary Reward Labeling: Bridging Offline Preference and Reward-Based Reinforcement Learning—0
SeMOPO: Learning High-quality Model and Policy from Low-quality Offline Visual Datasets—0
A Dual Approach to Imitation Learning from Observations with Offline Datasets—0
DiffPoGAN: Diffusion Policies with Generative Adversarial Networks for Offline Reinforcement Learning—0
Augmenting Offline RL with Unlabeled Data—0
CDSA: Conservative Denoising Score-based Algorithm for Offline Reinforcement Learning—0
Integrating Domain Knowledge for handling Limited Data in Offline RL—0
Discovering Multiple Solutions from a Single Task in 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