SOTAVerified

Offline RL

Papers

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Showing 226–250 of 755 papers

TitleStatusHype
Uncertainty-aware Distributional Offline Reinforcement Learning—0
Reinforcement Learning-based Recommender Systems with Large Language Models for State Reward and Action Modeling—0
The Value of Reward Lookahead in Reinforcement Learning—0
Minimax Optimal and Computationally Efficient Algorithms for Distributionally Robust Offline Reinforcement Learning—0
Towards Optimizing Human-Centric Objectives in AI-Assisted Decision-Making With Offline Reinforcement Learning—0
Why Online Reinforcement Learning is Causal—0
Offline Fictitious Self-Play for Competitive Games—0
Unsupervised Zero-Shot Reinforcement Learning via Functional Reward EncodingsCode2
Trajectory-wise Iterative Reinforcement Learning Framework for Auto-bidding—0
Deep Generative Models for Offline Policy Learning: Tutorial, Survey, and Perspectives on Future DirectionsCode2
MORE-3S:Multimodal-based Offline Reinforcement Learning with Shared Semantic SpacesCode0
Align Your Intents: Offline Imitation Learning via Optimal Transport—0
Offline Multi-task Transfer RL with Representational Penalization—0
Learning Goal-Conditioned Policies from Sub-Optimal Offline Data via Metric Learning—0
Universal Black-Box Reward Poisoning Attack against Offline Reinforcement Learning—0
Measurement Scheduling for ICU Patients with Offline Reinforcement Learning—0
Stitching Sub-Trajectories with Conditional Diffusion Model for Goal-Conditioned Offline RLCode1
More Benefits of Being Distributional: Second-Order Bounds for Reinforcement Learning—0
Federated Offline Reinforcement Learning: Collaborative Single-Policy Coverage Suffices—0
Real-World Fluid Directed Rigid Body Control via Deep Reinforcement Learning—0
Offline Actor-Critic Reinforcement Learning Scales to Large Models—0
A Primal-Dual Algorithm for Offline Constrained Reinforcement Learning with Linear MDPs—0
Entropy-regularized Diffusion Policy with Q-Ensembles for Offline Reinforcement LearningCode1
SEABO: A Simple Search-Based Method for Offline Imitation LearningCode1
Contrastive Diffuser: Planning Towards High Return States via Contrastive Learning—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