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Offline RL

Papers

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Showing 626–650 of 755 papers

TitleStatusHype
PROGRESSOR: A Perceptually Guided Reward Estimator with Self-Supervised Online Refinement—0
Prompting Decision Transformer for Few-Shot Policy Generalization—0
Provable Benefit of Multitask Representation Learning in Reinforcement Learning—0
What can online reinforcement learning with function approximation benefit from general coverage conditions?—0
Gauss-Newton Temporal Difference Learning with Nonlinear Function Approximation—0
Provably Efficient Offline Reinforcement Learning with Trajectory-Wise Reward—0
Provably Efficient Offline Reinforcement Learning with Perturbed Data Sources—0
Provably Efficient Representation Selection in Low-rank Markov Decision Processes: From Online to Offline RL—0
Pruning the Way to Reliable Policies: A Multi-Objective Deep Q-Learning Approach to Critical Care—0
Q-learning Decision Transformer: Leveraging Dynamic Programming for Conditional Sequence Modelling in Offline RL—0
Q-SFT: Q-Learning for Language Models via Supervised Fine-Tuning—0
Q-Transformer: Scalable Offline Reinforcement Learning via Autoregressive Q-Functions—0
Q-value Regularized Decision ConvFormer for Offline Reinforcement Learning—0
Real Robot Challenge 2022: Learning Dexterous Manipulation from Offline Data in the Real World—0
The Smart Buildings Control Suite: A Diverse Open Source Benchmark to Evaluate and Scale HVAC Control Policies for Sustainability—0
Real-World Fluid Directed Rigid Body Control via Deep Reinforcement Learning—0
Real-World Offline Reinforcement Learning from Vision Language Model Feedback—0
Offline Minimax Soft-Q-learning Under Realizability and Partial Coverage—0
Regularized Behavior Value Estimation—0
Reinforced Self-Training (ReST) for Language Modeling—0
Reinforcement Learning: An Overview—0
Reinforcement Learning-based Recommender Systems with Large Language Models for State Reward and Action Modeling—0
Reinforcement Learning for Individual Optimal Policy from Heterogeneous Data—0
Reinforcement Learning with Human Feedback: Learning Dynamic Choices via Pessimism—0
Reliable validation of Reinforcement Learning Benchmarks—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