SOTAVerified

Offline RL

Papers

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Showing 401–425 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
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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