SOTAVerified

Offline RL

Papers

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Showing 1–50 of 755 papers

TitleStatusHype
From Novelty to Imitation: Self-Distilled Rewards for Offline Reinforcement Learning—0
Step-wise Policy for Rare-tool Knowledge (SPaRK): Offline RL that Drives Diverse Tool Use in LLMsCode0
Robust Bandwidth Estimation for Real-Time Communication with Offline Reinforcement Learning—0
Optimal Single-Policy Sample Complexity and Transient Coverage for Average-Reward Offline RL—0
Flow-Based Single-Step Completion for Efficient and Expressive Policy Learning—0
Sparse-Reg: Improving Sample Complexity in Offline Reinforcement Learning using SparsityCode0
CAWR: Corruption-Averse Advantage-Weighted Regression for Robust Policy OptimizationCode0
IntelliLung: Advancing Safe Mechanical Ventilation using Offline RL with Hybrid Actions and Clinically Aligned Rewards—0
Toward Explainable Offline RL: Analyzing Representations in Intrinsically Motivated Decision Transformers—0
DR-SAC: Distributionally Robust Soft Actor-Critic for Reinforcement Learning under UncertaintyCode0
MOORL: A Framework for Integrating Offline-Online Reinforcement Learning—0
Policy-Based Trajectory Clustering in Offline Reinforcement Learning—0
Semi-gradient DICE for Offline Constrained Reinforcement Learning—0
MOBODY: Model Based Off-Dynamics Offline Reinforcement LearningCode0
Offline RL with Smooth OOD Generalization in Convex Hull and its NeighborhoodCode0
How to Provably Improve Return Conditioned Supervised Learning?—0
Accelerating Diffusion Models in Offline RL via Reward-Aware Consistency Trajectory Distillation—0
Learning to Clarify by Reinforcement Learning Through Reward-Weighted Fine-Tuning—0
ADG: Ambient Diffusion-Guided Dataset Recovery for Corruption-Robust Offline Reinforcement Learning—0
Enhanced DACER Algorithm with High Diffusion Efficiency—0
Diffusion Guidance Is a Controllable Policy Improvement OperatorCode2
SOReL and TOReL: Two Methods for Fully Offline Reinforcement LearningCode0
Scaling Offline RL via Efficient and Expressive Shortcut Models—0
Learning to Trust Bellman Updates: Selective State-Adaptive Regularization for Offline RLCode0
GenPO: Generative Diffusion Models Meet On-Policy Reinforcement Learning—0
Diffusion Self-Weighted Guidance for Offline Reinforcement Learning—0
PyTupli: A Scalable Infrastructure for Collaborative Offline Reinforcement Learning ProjectsCode0
Efficient Online RL Fine Tuning with Offline Pre-trained Policy Only—0
Offline Guarded Safe Reinforcement Learning for Medical Treatment Optimization Strategies—0
Unearthing Gems from Stones: Policy Optimization with Negative Sample Augmentation for LLM Reasoning—0
Think-J: Learning to Think for Generative LLM-as-a-JudgeCode0
Your Offline Policy is Not Trustworthy: Bilevel Reinforcement Learning for Sequential Portfolio Optimization—0
Prior-Guided Diffusion Planning for Offline Reinforcement Learning—0
ImagineBench: Evaluating Reinforcement Learning with Large Language Model RolloutsCode1
Reinforcement Learning for Individual Optimal Policy from Heterogeneous Data—0
Feasibility-Aware Pessimistic Estimation: Toward Long-Horizon Safety in Offline RL—0
What Matters for Batch Online Reinforcement Learning in Robotics?—0
Cache-Efficient Posterior Sampling for Reinforcement Learning with LLM-Derived Priors Across Discrete and Continuous Domains—0
Video-Enhanced Offline Reinforcement Learning: A Model-Based Approach—0
Pretraining a Shared Q-Network for Data-Efficient Offline Reinforcement Learning—0
Taming OOD Actions for Offline Reinforcement Learning: An Advantage-Based Approach—0
Exploring the Potential of Offline RL for Reasoning in LLMs: A Preliminary Study—0
Analytic Energy-Guided Policy Optimization for Offline Reinforcement Learning—0
Offline Robotic World Model: Learning Robotic Policies without a Physics Simulator—0
VIPO: Value Function Inconsistency Penalized Offline Reinforcement Learning—0
A Clean Slate for Offline Reinforcement LearningCode3
Towards Optimal Differentially Private Regret Bounds in Linear MDPs—0
Decision SpikeFormer: Spike-Driven Transformer for Decision Making—0
Model-Based Offline Reinforcement Learning with Adversarial Data Augmentation—0
Offline Reinforcement Learning with Discrete Diffusion Skills—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