SOTAVerified

Offline RL

Papers

Showing 51100 of 755 papers

TitleStatusHype
GTA: Generative Trajectory Augmentation with Guidance for Offline Reinforcement LearningCode1
Generating Code World Models with Large Language Models Guided by Monte Carlo Tree SearchCode1
Reinformer: Max-Return Sequence Modeling for Offline RLCode1
LTLDoG: Satisfying Temporally-Extended Symbolic Constraints for Safe Diffusion-based PlanningCode1
Pessimistic Value Iteration for Multi-Task Data Sharing in Offline Reinforcement LearningCode1
Stitching Sub-Trajectories with Conditional Diffusion Model for Goal-Conditioned Offline RLCode1
SEABO: A Simple Search-Based Method for Offline Imitation LearningCode1
Entropy-regularized Diffusion Policy with Q-Ensembles for Offline Reinforcement LearningCode1
Towards an Information Theoretic Framework of Context-Based Offline Meta-Reinforcement LearningCode1
ODICE: Revealing the Mystery of Distribution Correction Estimation via Orthogonal-gradient UpdateCode1
Online Symbolic Music Alignment with Offline Reinforcement LearningCode1
PDiT: Interleaving Perception and Decision-making Transformers for Deep Reinforcement LearningCode1
Critic-Guided Decision Transformer for Offline Reinforcement LearningCode1
Traffic Signal Control Using Lightweight Transformers: An Offline-to-Online RL ApproachCode1
The Generalization Gap in Offline Reinforcement LearningCode1
SCOPE-RL: A Python Library for Offline Reinforcement Learning and Off-Policy EvaluationCode1
Unleashing the Power of Pre-trained Language Models for Offline Reinforcement LearningCode1
Free from Bellman Completeness: Trajectory Stitching via Model-based Return-conditioned Supervised LearningCode1
CROP: Conservative Reward for Model-based Offline Policy OptimizationCode1
Towards Robust Offline Reinforcement Learning under Diverse Data CorruptionCode1
Offline Retraining for Online RL: Decoupled Policy Learning to Mitigate Exploration BiasCode1
Understanding, Predicting and Better Resolving Q-Value Divergence in Offline-RLCode1
Beyond Uniform Sampling: Offline Reinforcement Learning with Imbalanced DatasetsCode1
Consistency Models as a Rich and Efficient Policy Class for Reinforcement LearningCode1
Zero-Shot Reinforcement Learning from Low Quality DataCode1
Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement LearningCode1
VAPOR: Legged Robot Navigation in Outdoor Vegetation Using Offline Reinforcement LearningCode1
Reasoning with Latent Diffusion in Offline Reinforcement LearningCode1
ORL-AUDITOR: Dataset Auditing in Offline Deep Reinforcement LearningCode1
Towards Self-Assembling Artificial Neural Networks through Neural Developmental ProgramsCode1
Robotic Manipulation Datasets for Offline Compositional Reinforcement LearningCode1
Alleviating Matthew Effect of Offline Reinforcement Learning in Interactive RecommendationCode1
Model-Bellman Inconsistency for Model-based Offline Reinforcement LearningCode1
Harnessing Mixed Offline Reinforcement Learning Datasets via Trajectory WeightingCode1
Beyond OOD State Actions: Supported Cross-Domain Offline Reinforcement LearningCode1
Policy Regularization with Dataset Constraint for Offline Reinforcement LearningCode1
Decoupled Prioritized Resampling for Offline RLCode1
Look Beneath the Surface: Exploiting Fundamental Symmetry for Sample-Efficient Offline RLCode1
Improving and Benchmarking Offline Reinforcement Learning AlgorithmsCode1
Primal-Attention: Self-attention through Asymmetric Kernel SVD in Primal RepresentationCode1
Efficient Diffusion Policies for Offline Reinforcement LearningCode1
MADiff: Offline Multi-agent Learning with Diffusion ModelsCode1
Leftover Lunch: Advantage-based Offline Reinforcement Learning for Language ModelsCode1
Making Offline RL Online: Collaborative World Models for Offline Visual Reinforcement LearningCode1
When should we prefer Decision Transformers for Offline Reinforcement Learning?Code1
Revisiting the Minimalist Approach to Offline Reinforcement LearningCode1
Federated Ensemble-Directed Offline Reinforcement LearningCode1
Masked Trajectory Models for Prediction, Representation, and ControlCode1
Leveraging Factored Action Spaces for Efficient Offline Reinforcement Learning in HealthcareCode1
IDQL: Implicit Q-Learning as an Actor-Critic Method with Diffusion PoliciesCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1KFCAverage Reward81.8Unverified
2ADMPOAverage Reward81Unverified
3Decision Transformer (DT)Average Reward73.5Unverified
#ModelMetricClaimedVerifiedStatus
1ParPID4RL Normalized Score151.4Unverified