SOTAVerified

Offline RL

Papers

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Showing 601–650 of 755 papers

TitleStatusHype
Uncertainty Estimation Using Riemannian Model~Dynamics for Offline Reinforcement Learning—0
Generalize by Touching: Tactile Ensemble Skill Transfer for Robotic Furniture Assembly—0
Generative Probabilistic Planning for Optimizing Supply Chain Networks—0
GenPO: Generative Diffusion Models Meet On-Policy Reinforcement Learning—0
Goal-Conditioned Data Augmentation for Offline Reinforcement Learning—0
Learning Goal-Conditioned Policies from Sub-Optimal Offline Data via Metric Learning—0
Goal-Conditioned Predictive Coding for Offline Reinforcement Learning—0
Graph Decision Transformer—0
GriddlyJS: A Web IDE for Reinforcement Learning—0
Guided Data Augmentation for Offline Reinforcement Learning and Imitation Learning—0
H2O+: An Improved Framework for Hybrid Offline-and-Online RL with Dynamics Gaps—0
Harnessing Density Ratios for Online Reinforcement Learning—0
H-GAP: Humanoid Control with a Generalist Planner—0
How to Leverage Unlabeled Data in Offline Reinforcement Learning—0
How to Spend Your Robot Time: Bridging Kickstarting and Offline Reinforcement Learning for Vision-based Robotic Manipulation—0
Human-centric Dialog Training via Offline Reinforcement Learning—0
Hundreds Guide Millions: Adaptive Offline Reinforcement Learning with Expert Guidance—0
Unified Preference Optimization: Language Model Alignment Beyond the Preference Frontier—0
Hybrid Reinforcement Learning Breaks Sample Size Barriers in Linear MDPs—0
Hyperparameter Selection for Offline Reinforcement Learning—0
Implicit Offline Reinforcement Learning via Supervised Learning—0
Importance of Empirical Sample Complexity Analysis for Offline Reinforcement Learning—0
Improving Dynamic Object Interactions in Text-to-Video Generation with AI Feedback—0
Improving Long-Term Metrics in Recommendation Systems using Short-Horizon Reinforcement Learning—0
Improving Multi-Step Reasoning Abilities of Large Language Models with Direct Advantage Policy Optimization—0
Improving Offline Reinforcement Learning with Inaccurate Simulators—0
Improving Offline RL by Blending Heuristics—0
Improving Zero-shot Generalization in Offline Reinforcement Learning using Generalized Similarity Functions—0
InferNet for Delayed Reinforcement Tasks: Addressing the Temporal Credit Assignment Problem—0
Iteratively Refined Behavior Regularization for Offline Reinforcement Learning—0
Instabilities of Offline RL with Pre-Trained Neural Representation—0
Instructed Diffuser with Temporal Condition Guidance for Offline Reinforcement Learning—0
Instrumental Variable Value Iteration for Causal Offline Reinforcement Learning—0
Integrating Domain Knowledge for handling Limited Data in Offline RL—0
Integrating Multi-Modal Input Token Mixer Into Mamba-Based Decision Models: Decision MetaMamba—0
Integrating Offline Reinforcement Learning with Transformers for Sequential Recommendation—0
Integrating Reinforcement Learning and Large Language Models for Crop Production Process Management Optimization and Control through A New Knowledge-Based Deep Learning Paradigm—0
IntelliLung: Advancing Safe Mechanical Ventilation using Offline RL with Hybrid Actions and Clinically Aligned Rewards—0
Interpretable performance analysis towards offline reinforcement learning: A dataset perspective—0
Inverse Concave-Utility Reinforcement Learning is Inverse Game Theory—0
IQL-TD-MPC: Implicit Q-Learning for Hierarchical Model Predictive Control—0
Is Conditional Generative Modeling all you need for Decision-Making?—0
Is Inverse Reinforcement Learning Harder than Standard Reinforcement Learning? A Theoretical Perspective—0
Is Pessimism Provably Efficient for Offline RL?—0
KAN v.s. MLP for Offline Reinforcement Learning—0
Know Your Boundaries: The Necessity of Explicit Behavioral Cloning in Offline RL—0
Koopman Q-learning: Offline Reinforcement Learning via Symmetries of Dynamics—0
Language-Conditioned Offline RL for Multi-Robot Navigation—0
Large Language Model driven Policy Exploration for Recommender Systems—0
Large-Scale Retrieval for 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