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Showing 51–100 of 226 papers

TitleStatusHype
Offline Reinforcement Learning via High-Fidelity Generative Behavior ModelingCode1
Value Memory Graph: A Graph-Structured World Model for Offline Reinforcement LearningCode1
Mildly Conservative Q-Learning for Offline Reinforcement LearningCode1
When does return-conditioned supervised learning work for offline reinforcement learning?Code1
When Data Geometry Meets Deep Function: Generalizing Offline Reinforcement LearningCode1
Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement LearningCode1
cosFormer: Rethinking Softmax in AttentionCode1
Adversarially Trained Actor Critic for Offline Reinforcement LearningCode1
False Correlation Reduction for Offline Reinforcement LearningCode1
Offline Reinforcement Learning with Value-based Episodic MemoryCode1
Offline Reinforcement Learning with Implicit Q-LearningCode1
Uncertainty-Based Offline Reinforcement Learning with Diversified Q-EnsembleCode1
Offline Reinforcement Learning with In-sample Q-LearningCode1
Implicit Behavioral CloningCode1
Conservative Offline Distributional Reinforcement LearningCode1
Offline RL Without Off-Policy EvaluationCode1
Decision Transformer: Reinforcement Learning via Sequence ModelingCode1
Transformers are RNNs: Fast Autoregressive Transformers with Linear AttentionCode1
From Novelty to Imitation: Self-Distilled Rewards for Offline Reinforcement Learning—0
Accelerating Residual Reinforcement Learning with Uncertainty Estimation—0
CAWR: Corruption-Averse Advantage-Weighted Regression for Robust Policy OptimizationCode0
MOORL: A Framework for Integrating Offline-Online Reinforcement Learning—0
Policy-Based Trajectory Clustering in Offline Reinforcement Learning—0
Offline RL with Smooth OOD Generalization in Convex Hull and its NeighborhoodCode0
STITCH-OPE: Trajectory Stitching with Guided Diffusion for Off-Policy Evaluation—0
Learning to Trust Bellman Updates: Selective State-Adaptive Regularization for Offline RLCode0
Temporal Distance-aware Transition Augmentation for Offline Model-based Reinforcement Learning—0
Policy-Driven World Model Adaptation for Robust Offline Model-based Reinforcement Learning—0
Imagination-Limited Q-Learning for Offline Reinforcement Learning—0
Beyond the Known: Decision Making with Counterfactual Reasoning Decision TransformerCode0
Pretraining a Shared Q-Network for Data-Efficient Offline Reinforcement Learning—0
Taming OOD Actions for Offline Reinforcement Learning: An Advantage-Based Approach—0
Analytic Energy-Guided Policy Optimization for Offline Reinforcement Learning—0
Directly Forecasting Belief for Reinforcement Learning with DelaysCode0
An Optimal Discriminator Weighted Imitation Perspective for Reinforcement Learning—0
VIPO: Value Function Inconsistency Penalized Offline Reinforcement Learning—0
Decision SpikeFormer: Spike-Driven Transformer for Decision Making—0
Model-Based Offline Reinforcement Learning with Adversarial Data Augmentation—0
Diverse Transformer Decoding for Offline Reinforcement Learning Using Financial Algorithmic Approaches—0
Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning—0
Learning from Suboptimal Data in Continuous Control via Auto-Regressive Soft Q-Network—0
Projection Implicit Q-Learning with Support Constraint for Offline Reinforcement Learning—0
DRDT3: Diffusion-Refined Decision Test-Time Training Model—0
SALE-Based Offline Reinforcement Learning with Ensemble Q-Networks—0
SR-Reward: Taking The Path More Traveled—0
Goal-Conditioned Data Augmentation for Offline Reinforcement Learning—0
ACL-QL: Adaptive Conservative Level in Q-Learning for Offline Reinforcement Learning—0
Finer Behavioral Foundation Models via Auto-Regressive Features and Advantage Weighting—0
Learning on One Mode: Addressing Multi-Modality in Offline Reinforcement LearningCode0
Enhancing Decision Transformer with Diffusion-Based Trajectory Branch Generation—0
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