SOTAVerified

Offline RL

Papers

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Showing 451–475 of 755 papers

TitleStatusHype
You Can't Count on Luck: Why Decision Transformers and RvS Fail in Stochastic Environments—0
You Only Evaluate Once: a Simple Baseline Algorithm for Offline RL—0
Your Offline Policy is Not Trustworthy: Bilevel Reinforcement Learning for Sequential Portfolio Optimization—0
PEARL: Zero-shot Cross-task Preference Alignment and Robust Reward Learning for Robotic Manipulation—0
Prior-Guided Diffusion Planning for Offline Reinforcement Learning—0
How to Provably Improve Return Conditioned Supervised Learning?—0
Accelerating Diffusion Models in Offline RL via Reward-Aware Consistency Trajectory Distillation—0
Accelerating Offline Reinforcement Learning Application in Real-Time Bidding and Recommendation: Potential Use of Simulation—0
Achieving Fairness in Multi-Agent Markov Decision Processes Using Reinforcement Learning—0
A Conservative Q-Learning approach for handling distribution shift in sepsis treatment strategies—0
Action-Quantized Offline Reinforcement Learning for Robotic Skill Learning—0
AdaCred: Adaptive Causal Decision Transformers with Feature Crediting—0
Adaptive Policy Learning for Offline-to-Online Reinforcement Learning—0
Adaptive Q-learning for Interaction-Limited Reinforcement Learning—0
Addressing Distribution Shift in Online Reinforcement Learning with Offline Datasets—0
Addressing Extrapolation Error in Deep Offline Reinforcement Learning—0
ADG: Ambient Diffusion-Guided Dataset Recovery for Corruption-Robust Offline Reinforcement Learning—0
A Dual Approach to Imitation Learning from Observations with Offline Datasets—0
Advancing RAN Slicing with Offline Reinforcement Learning—0
Adversarially Trained Weighted Actor-Critic for Safe Offline Reinforcement Learning—0
A Fully Data-Driven Approach for Realistic Traffic Signal Control Using Offline Reinforcement Learning—0
Align Your Intents: Offline Imitation Learning via Optimal Transport—0
Task-Agnostic Learning to Accomplish New Tasks—0
Analytic Energy-Guided Policy Optimization for Offline Reinforcement Learning—0
An Empirical Study of Implicit Regularization in Deep Offline RL—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