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Showing 1–50 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
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
Are Expressive Models Truly Necessary for Offline RL?Code1
M^3PC: Test-time Model Predictive Control for Pretrained Masked Trajectory ModelCode1
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
Constrained Latent Action Policies for Model-Based Offline Reinforcement LearningCode0
Hypercube Policy Regularization Framework for Offline Reinforcement LearningCode0
NetworkGym: Reinforcement Learning Environments for Multi-Access Traffic Management in Network SimulationCode0
Offline Behavior DistillationCode0
Return Augmented Decision Transformer for Off-Dynamics Reinforcement Learning—0
Q-Distribution guided Q-learning for offline reinforcement learning: Uncertainty penalized Q-value via consistency modelCode0
SAMG: State-Action-Aware Offline-to-Online Reinforcement Learning with Offline Model Guidance—0
RGMDT: Return-Gap-Minimizing Decision Tree Extraction in Non-Euclidean Metric Space—0
Rethinking Optimal Transport in Offline Reinforcement Learning—0
Bayes Adaptive Monte Carlo Tree Search for Offline Model-based Reinforcement LearningCode0
Diffusion Model Predictive Control—0
KAN v.s. MLP for Offline Reinforcement Learning—0
Planning Transformer: Long-Horizon Offline Reinforcement Learning with Planning Tokens—0
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