SOTAVerified

Offline RL

Papers

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Showing 101–125 of 755 papers

TitleStatusHype
Doubly Mild Generalization for Offline Reinforcement LearningCode1
Streetwise Agents: Empowering Offline RL Policies to Outsmart Exogenous Stochastic Disturbances in RTC—0
OffLight: An Offline Multi-Agent Reinforcement Learning Framework for Traffic Signal Control—0
Real-World Offline Reinforcement Learning from Vision Language Model Feedback—0
Q-SFT: Q-Learning for Language Models via Supervised Fine-Tuning—0
Uncertainty-based Offline Variational Bayesian Reinforcement Learning for Robustness under Diverse Data CorruptionsCode0
NetworkGym: Reinforcement Learning Environments for Multi-Access Traffic Management in Network SimulationCode0
Offline Reinforcement Learning and Sequence Modeling for Downlink Link Adaptation—0
LongReward: Improving Long-context Large Language Models with AI FeedbackCode2
Offline Reinforcement Learning with OOD State Correction and OOD Action SuppressionCode1
Learning Versatile Skills with Curriculum MaskingCode0
Solving Continual Offline RL through Selective Weights Activation on Aligned Spaces—0
Offline reinforcement learning for job-shop scheduling problems—0
Steering Your Generalists: Improving Robotic Foundation Models via Value GuidanceCode1
Off-dynamics Conditional Diffusion Planners—0
Multi-Objective-Optimization Multi-AUV Assisted Data Collection Framework for IoUT Based on Offline Reinforcement Learning—0
Bayes Adaptive Monte Carlo Tree Search for Offline Model-based Reinforcement LearningCode0
DIAR: Diffusion-model-guided Implicit Q-learning with Adaptive Revaluation—0
Diffusion-Based Offline RL for Improved Decision-Making in Augmented ARC Task—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
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
Scaling Offline Model-Based RL via Jointly-Optimized World-Action Model PretrainingCode1
DMC-VB: A Benchmark for Representation Learning for Control with Visual DistractorsCode1
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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