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Offline RL

Papers

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Showing 401–450 of 755 papers

TitleStatusHype
Federated Offline Reinforcement Learning: Collaborative Single-Policy Coverage Suffices—0
Offline Actor-Critic Reinforcement Learning Scales to Large Models—0
Real-World Fluid Directed Rigid Body Control via Deep Reinforcement Learning—0
A Primal-Dual Algorithm for Offline Constrained Reinforcement Learning with Linear MDPs—0
Contrastive Diffuser: Planning Towards High Return States via Contrastive Learning—0
The Virtues of Pessimism in Inverse Reinforcement Learning—0
DiffStitch: Boosting Offline Reinforcement Learning with Diffusion-based Trajectory Stitching—0
Adaptive Q-Aid for Conditional Supervised Learning in Offline Reinforcement Learning—0
Context-Former: Stitching via Latent Conditioned Sequence Modeling—0
Multi-Object Navigation in real environments using hybrid policies—0
MoMA: Model-based Mirror Ascent for Offline Reinforcement Learning—0
Solving Offline Reinforcement Learning with Decision Tree RegressionCode0
Harnessing Density Ratios for Online Reinforcement Learning—0
DiffClone: Enhanced Behaviour Cloning in Robotics with Diffusion-Driven Policy LearningCode0
Learning from Sparse Offline Datasets via Conservative Density EstimationCode0
Solving Continual Offline Reinforcement Learning with Decision Transformer—0
Optimistic Model Rollouts for Pessimistic Offline Policy Optimization—0
On Sample-Efficient Offline Reinforcement Learning: Data Diversity, Posterior Sampling, and Beyond—0
MOTO: Offline Pre-training to Online Fine-tuning for Model-based Robot Learning—0
SPQR: Controlling Q-ensemble Independence with Spiked Random Model for Reinforcement LearningCode0
Policy-regularized Offline Multi-objective Reinforcement LearningCode0
POCE: Primal Policy Optimization with Conservative Estimation for Multi-constraint Offline Reinforcement LearningCode0
Adversarially Trained Weighted Actor-Critic for Safe Offline Reinforcement Learning—0
Neural Network Approximation for Pessimistic Offline Reinforcement Learning—0
CUDC: A Curiosity-Driven Unsupervised Data Collection Method with Adaptive Temporal Distances for Offline Reinforcement Learning—0
Advancing RAN Slicing with Offline Reinforcement Learning—0
A Perspective of Q-value Estimation on Offline-to-Online Reinforcement Learning—0
Model-Based Epistemic Variance of Values for Risk-Aware Policy Optimization—0
MICRO: Model-Based Offline Reinforcement Learning with a Conservative Bellman OperatorCode0
Diffused Task-Agnostic Milestone Planner—0
Evaluation of Active Feature Acquisition Methods for Static Feature Settings—0
H-GAP: Humanoid Control with a Generalist Planner—0
Is Inverse Reinforcement Learning Harder than Standard Reinforcement Learning? A Theoretical Perspective—0
Self-Driving Telescopes: Autonomous Scheduling of Astronomical Observation Campaigns with Offline Reinforcement Learning—0
A Fully Data-Driven Approach for Realistic Traffic Signal Control Using Offline Reinforcement Learning—0
Offline Reinforcement Learning for Wireless Network Optimization with Mixture Datasets—0
Offline Data Enhanced On-Policy Policy Gradient with Provable GuaranteesCode0
Rethinking Decision Transformer via Hierarchical Reinforcement Learning—0
Offline RL with Observation Histories: Analyzing and Improving Sample Complexity—0
Safety-aware Causal Representation for Trustworthy Offline Reinforcement Learning in Autonomous Driving—0
A Tractable Inference Perspective of Offline RL—0
Robust Offline Reinforcement learning with Heavy-Tailed RewardsCode0
Bridging Distributionally Robust Learning and Offline RL: An Approach to Mitigate Distribution Shift and Partial Data CoverageCode0
Guided Data Augmentation for Offline Reinforcement Learning and Imitation Learning—0
Model-enhanced Contrastive Reinforcement Learning for Sequential Recommendation—0
Finetuning Offline World Models in the Real World—0
Corruption-Robust Offline Reinforcement Learning with General Function ApproximationCode0
Action-Quantized Offline Reinforcement Learning for Robotic Skill Learning—0
Building Persona Consistent Dialogue Agents with Offline Reinforcement LearningCode0
End-to-end Offline Reinforcement Learning for Glycemia Control—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