SOTAVerified

Offline RL

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 601–650 of 755 papers

TitleStatusHype
Why So Pessimistic? Estimating Uncertainties for Offline RL through Ensembles, and Why Their Independence Matters—0
Yes, Q-learning Helps Offline In-Context RL—0
You Can't Count on Luck: Why Decision Transformers and RvS Fail in Stochastic Environments—0
You Only Evaluate Once: a Simple Baseline Algorithm for Offline RL—0
Your Offline Policy is Not Trustworthy: Bilevel Reinforcement Learning for Sequential Portfolio Optimization—0
PerSim: Data-Efficient Offline Reinforcement Learning with Heterogeneous Agents via Personalized Simulators—0
Pessimism in the Face of Confounders: Provably Efficient Offline Reinforcement Learning in Partially Observable Markov Decision Processes—0
Pessimism Meets Risk: Risk-Sensitive Offline Reinforcement Learning—0
Pessimism meets VCG: Learning Dynamic Mechanism Design via Offline Reinforcement Learning—0
Pessimistic Model-based Offline Reinforcement Learning under Partial Coverage—0
Pessimistic Nonlinear Least-Squares Value Iteration for Offline Reinforcement Learning—0
Pessimistic Q-Learning for Offline Reinforcement Learning: Towards Optimal Sample Complexity—0
2vec: Policy Representations with Successor Features—0
Planning to Go Out-of-Distribution in Offline-to-Online Reinforcement Learning—0
Policy Agnostic RL: Offline RL and Online RL Fine-Tuning of Any Class and Backbone—0
Policy-Based Trajectory Clustering in Offline Reinforcement Learning—0
Policy Finetuning: Bridging Sample-Efficient Offline and Online Reinforcement Learning—0
Policy Gradients Incorporating the Future—0
Policy-Guided Causal State Representation for Offline Reinforcement Learning Recommendation—0
Policy Regularization on Globally Accessible States in Cross-Dynamics Reinforcement Learning—0
Preference Elicitation for Offline Reinforcement Learning—0
Preferred-Action-Optimized Diffusion Policies for Offline Reinforcement Learning—0
Preserving Expert-Level Privacy in Offline Reinforcement Learning—0
Pretraining a Shared Q-Network for Data-Efficient Offline Reinforcement Learning—0
Prioritized Trajectory Replay: A Replay Memory for Data-driven Reinforcement Learning—0
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
Show:102550
← PrevPage 13 of 16Next →
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