SOTAVerified

Offline RL

Papers

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Showing 701–725 of 755 papers

TitleStatusHype
Behavioral Priors and Dynamics Models: Improving Performance and Domain Transfer in Offline RL—0
On Multi-objective Policy Optimization as a Tool for Reinforcement Learning: Case Studies in Offline RL and Finetuning—0
Offline Reinforcement Learning as Anti-Exploration—0
Corruption-Robust Offline Reinforcement Learning—0
Offline Inverse Reinforcement Learning—0
Policy Finetuning: Bridging Sample-Efficient Offline and Online Reinforcement Learning—0
Improving Long-Term Metrics in Recommendation Systems using Short-Horizon Reinforcement Learning—0
Revisiting Design Choices in Offline Model Based Reinforcement Learning—0
Model-Based Offline Planning with Trajectory PruningCode0
Optimal Uniform OPE and Model-based Offline Reinforcement Learning in Time-Homogeneous, Reward-Free and Task-Agnostic Settings—0
Interpretable performance analysis towards offline reinforcement learning: A dataset perspective—0
InferNet for Delayed Reinforcement Tasks: Addressing the Temporal Credit Assignment Problem—0
Bridging Offline Reinforcement Learning and Imitation Learning: A Tale of Pessimism—0
Regularized Behavior Value Estimation—0
Offline Reinforcement Learning with Fisher Divergence Critic Regularization—0
Sample Complexity of Offline Reinforcement Learning with Deep ReLU Networks—0
S4RL: Surprisingly Simple Self-Supervision for Offline Reinforcement Learning—0
Instabilities of Offline RL with Pre-Trained Neural Representation—0
Two-step reinforcement learning for model-free redesign of nonlinear optimal regulatorCode0
DeepThermal: Combustion Optimization for Thermal Power Generating Units Using Offline Reinforcement Learning—0
Uncertainty Estimation Using Riemannian Model~Dynamics for Offline Reinforcement Learning—0
Instrumental Variable Value Iteration for Causal Offline Reinforcement Learning—0
PerSim: Data-Efficient Offline Reinforcement Learning with Heterogeneous Agents via Personalized Simulators—0
Q-Value Weighted Regression: Reinforcement Learning with Limited DataCode0
Representation Matters: Offline Pretraining for Sequential Decision Making—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