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Showing 151–200 of 226 papers

TitleStatusHype
Policy-Driven World Model Adaptation for Robust Offline Model-based 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
Projection Implicit Q-Learning with Support Constraint for Offline Reinforcement Learning—0
Quantile Filtered Imitation Learning—0
Q-value Regularized Decision ConvFormer for Offline Reinforcement Learning—0
Reducing Conservativeness Oriented Offline Reinforcement Learning—0
Regularized Conditional Diffusion Model for Multi-Task Preference Alignment—0
Rethinking Optimal Transport in Offline Reinforcement Learning—0
Return Augmented Decision Transformer for Off-Dynamics Reinforcement Learning—0
Reward-Consistent Dynamics Models are Strongly Generalizable for Offline Reinforcement Learning—0
RGMDT: Return-Gap-Minimizing Decision Tree Extraction in Non-Euclidean Metric Space—0
S4RL: Surprisingly Simple Self-Supervision for Offline Reinforcement Learning—0
SALE-Based Offline Reinforcement Learning with Ensemble Q-Networks—0
SAMG: State-Action-Aware Offline-to-Online Reinforcement Learning with Offline Model Guidance—0
Semi-supervised Offline Reinforcement Learning with Pre-trained Decision Transformers—0
SeMOPO: Learning High-quality Model and Policy from Low-quality Offline Visual Datasets—0
Simple Ingredients for Offline Reinforcement Learning—0
SR-Reward: Taking The Path More Traveled—0
State-Action Joint Regularized Implicit Policy for Offline Reinforcement Learning—0
State Advantage Weighting for Offline RL—0
State-Constrained Offline Reinforcement Learning—0
Statistically Efficient Variance Reduction with Double Policy Estimation for Off-Policy Evaluation in Sequence-Modeled Reinforcement Learning—0
STITCH-OPE: Trajectory Stitching with Guided Diffusion for Off-Policy Evaluation—0
SUMO: Search-Based Uncertainty Estimation for Model-Based Offline Reinforcement Learning—0
Model-based Offline Reinforcement Learning with Lower Expectile Q-Learning—0
Taming OOD Actions for Offline Reinforcement Learning: An Advantage-Based Approach—0
Task-agnostic Decision Transformer for Multi-type Agent Control with Federated Split Training—0
Temporal Distance-aware Transition Augmentation for Offline Model-based Reinforcement Learning—0
Towards Robust Policy: Enhancing Offline Reinforcement Learning with Adversarial Attacks and Defenses—0
UDQL: Bridging The Gap between MSE Loss and The Optimal Value Function in Offline Reinforcement Learning—0
Uncertainty Regularized Policy Learning for Offline Reinforcement Learning—0
VIPO: Value Function Inconsistency Penalized Offline Reinforcement Learning—0
Why so pessimistic? Estimating uncertainties for offline RL through ensembles, and why their independence matters.—0
Robust Offline Reinforcement Learning with Gradient Penalty and Constraint RelaxationCode0
Conservative Bayesian Model-Based Value Expansion for Offline Policy OptimizationCode0
Offline Behavior DistillationCode0
NetworkGym: Reinforcement Learning Environments for Multi-Access Traffic Management in Network SimulationCode0
Mutual Information Regularized Offline Reinforcement LearningCode0
Model-based Offline Reinforcement Learning with Count-based ConservatismCode0
Offline RL With Resource Constrained Online DeploymentCode0
Offline RL with Smooth OOD Generalization in Convex Hull and its NeighborhoodCode0
Beyond the Known: Decision Making with Counterfactual Reasoning Decision TransformerCode0
Model-Based Offline Reinforcement Learning with Pessimism-Modulated Dynamics BeliefCode0
Uncertainty-driven Trajectory Truncation for Data Augmentation in Offline Reinforcement LearningCode0
DiffCPS: Diffusion Model based Constrained Policy Search for Offline Reinforcement LearningCode0
Mildly Constrained Evaluation Policy for Offline Reinforcement LearningCode0
DIDI: Diffusion-Guided Diversity for Offline Behavioral GenerationCode0
Learning to Trust Bellman Updates: Selective State-Adaptive Regularization for Offline RLCode0
Learning on One Mode: Addressing Multi-Modality in Offline Reinforcement LearningCode0
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