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Offline RL

Papers

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Showing 301–350 of 755 papers

TitleStatusHype
A Conservative Q-Learning approach for handling distribution shift in sepsis treatment strategies—0
Near-Optimal Offline Reinforcement Learning via Double Variance Reduction—0
Near-Optimal Provable Uniform Convergence in Offline Policy Evaluation for Reinforcement Learning—0
Diffusion-DICE: In-Sample Diffusion Guidance for Offline Reinforcement Learning—0
ADG: Ambient Diffusion-Guided Dataset Recovery for Corruption-Robust Offline Reinforcement Learning—0
How to Provably Improve Return Conditioned Supervised Learning?—0
Diffusion-Based Offline RL for Improved Decision-Making in Augmented ARC Task—0
Diffused Task-Agnostic Milestone Planner—0
A Primal-Dual Algorithm for Offline Constrained Reinforcement Learning with Linear MDPs—0
Multi-Object Navigation in real environments using hybrid policies—0
DiffStitch: Boosting Offline Reinforcement Learning with Diffusion-based Trajectory Stitching—0
BRAC+: Going Deeper with Behavior Regularized Offline Reinforcement Learning—0
Multi-Objective Decision Transformers for Offline Reinforcement Learning—0
Leveraging Offline Data in Online Reinforcement Learning—0
Leveraging Domain-Unlabeled Data in Offline Reinforcement Learning across Two Domains—0
Bootstrapped Transformer for Offline Reinforcement Learning—0
Multi-Objective-Optimization Multi-AUV Assisted Data Collection Framework for IoUT Based on Offline Reinforcement Learning—0
Navigation with QPHIL: Quantizing Planner for Hierarchical Implicit Q-Learning—0
Addressing Extrapolation Error in Deep Offline Reinforcement Learning—0
Learning to View: Decision Transformers for Active Object Detection—0
DIAR: Diffusion-model-guided Implicit Q-learning with Adaptive Revaluation—0
Dialogue Evaluation with Offline Reinforcement Learning—0
Learning to Influence Human Behavior with Offline Reinforcement Learning—0
Development and Validation of Heparin Dosing Policies Using an Offline Reinforcement Learning Algorithm—0
Boosting Offline Reinforcement Learning via Data Rebalancing—0
More Benefits of Being Distributional: Second-Order Bounds for Reinforcement Learning—0
MOReL: Model-Based Offline Reinforcement Learning—0
Learning to Clarify by Reinforcement Learning Through Reward-Weighted Fine-Tuning—0
Learning Pseudometric-based Action Representations for Offline Reinforcement Learning—0
Accelerating Diffusion Models in Offline RL via Reward-Aware Consistency Trajectory Distillation—0
Design from Policies: Conservative Test-Time Adaptation for Offline Policy Optimization—0
Learning Value Functions from Undirected State-only Experience—0
Boosting Offline Reinforcement Learning with Residual Generative Modeling—0
Learning Dexterous Manipulation from Suboptimal Experts—0
Boosting Offline Reinforcement Learning for Autonomous Driving with Hierarchical Latent Skills—0
MoMA: Model-based Mirror Ascent for Offline Reinforcement Learning—0
Launchpad: Learning to Schedule Using Offline and Online RL Methods—0
Deploying Offline Reinforcement Learning with Human Feedback—0
Leveraging Optimal Transport for Enhanced Offline Reinforcement Learning in Surgical Robotic Environments—0
DiffPoGAN: Diffusion Policies with Generative Adversarial Networks for Offline Reinforcement Learning—0
LLM-Based Offline Learning for Embodied Agents via Consistency-Guided Reward Ensemble—0
LLQL: Logistic Likelihood Q-Learning for Reinforcement Learning—0
Language Decision Transformers with Exponential Tilt for Interactive Text Environments—0
Large-Scale Retrieval for Reinforcement Learning—0
Delphic Offline Reinforcement Learning under Nonidentifiable Hidden Confounding—0
Bi-Level Offline Policy Optimization with Limited Exploration—0
MOORL: A Framework for Integrating Offline-Online Reinforcement Learning—0
MOTO: Offline Pre-training to Online Fine-tuning for Model-based Robot Learning—0
Nearly Minimax Optimal Offline Reinforcement Learning with Linear Function Approximation: Single-Agent MDP and Markov Game—0
Large Language Model driven Policy Exploration for Recommender Systems—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