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Showing 1–25 of 226 papers

TitleStatusHype
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
Policy-Driven World Model Adaptation for Robust Offline Model-based Reinforcement Learning—0
Temporal Distance-aware Transition Augmentation for 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
Habitizing Diffusion Planning for Efficient and Effective Decision MakingCode1
Skill Expansion and Composition in Parameter SpaceCode2
Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning—0
Flow Q-LearningCode3
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