SOTAVerified

Offline RL

Papers

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Showing 276–300 of 755 papers

TitleStatusHype
Reinforcement Learning: An Overview—0
Finer Behavioral Foundation Models via Auto-Regressive Features and Advantage Weighting—0
Improving Dynamic Object Interactions in Text-to-Video Generation with AI Feedback—0
Robust Offline Reinforcement Learning with Linearly Structured f-Divergence Regularization—0
LLM-Based Offline Learning for Embodied Agents via Consistency-Guided Reward Ensemble—0
PROGRESSOR: A Perceptually Guided Reward Estimator with Self-Supervised Online Refinement—0
Continual Task Learning through Adaptive Policy Self-CompositionCode0
Preserving Expert-Level Privacy in Offline Reinforcement Learning—0
Navigation with QPHIL: Quantizing Planner for Hierarchical Implicit Q-Learning—0
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
Offline Reinforcement Learning and Sequence Modeling for Downlink Link Adaptation—0
NetworkGym: Reinforcement Learning Environments for Multi-Access Traffic Management in Network SimulationCode0
Learning Versatile Skills with Curriculum MaskingCode0
Offline reinforcement learning for job-shop scheduling problems—0
Solving Continual Offline RL through Selective Weights Activation on Aligned Spaces—0
Off-dynamics Conditional Diffusion Planners—0
Bayes Adaptive Monte Carlo Tree Search for Offline Model-based Reinforcement LearningCode0
Diffusion-Based Offline RL for Improved Decision-Making in Augmented ARC Task—0
DIAR: Diffusion-model-guided Implicit Q-learning with Adaptive Revaluation—0
Multi-Objective-Optimization Multi-AUV Assisted Data Collection Framework for IoUT Based on Offline Reinforcement Learning—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
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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