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Showing 151–200 of 226 papers

TitleStatusHype
Augmenting Offline Reinforcement Learning with State-only Interactions—0
Context-Former: Stitching via Latent Conditioned Sequence Modeling—0
DiffuserLite: Towards Real-time Diffusion Planning—0
Solving Offline Reinforcement Learning with Decision Tree RegressionCode0
Learning from Sparse Offline Datasets via Conservative Density EstimationCode0
Guided Data Augmentation for Offline Reinforcement Learning and Imitation Learning—0
DiffCPS: Diffusion Model based Constrained Policy Search for Offline Reinforcement LearningCode0
Reward-Consistent Dynamics Models are Strongly Generalizable for Offline Reinforcement Learning—0
Pre-training with Synthetic Data Helps Offline Reinforcement LearningCode0
DOMAIN: MilDly COnservative Model-BAsed OfflINe Reinforcement Learning—0
Multi-Objective Decision Transformers for Offline Reinforcement Learning—0
Statistically Efficient Variance Reduction with Double Policy Estimation for Off-Policy Evaluation in Sequence-Modeled Reinforcement Learning—0
Learning Computational Efficient Bots with Costly Features—0
Offline Reinforcement Learning with On-Policy Q-Function Regularization—0
Model-based Offline Reinforcement Learning with Count-based ConservatismCode0
Offline Diversity Maximization Under Imitation Constraints—0
Budgeting Counterfactual for Offline RL—0
Diffusion Policies for Out-of-Distribution Generalization in Offline Reinforcement Learning—0
Offline Reinforcement Learning with Imbalanced Datasets—0
Elastic Decision Transformer—0
Prioritized Trajectory Replay: A Replay Memory for Data-driven Reinforcement Learning—0
CEIL: Generalized Contextual Imitation Learning—0
A Simple Unified Uncertainty-Guided Framework for Offline-to-Online Reinforcement Learning—0
HIPODE: Enhancing Offline Reinforcement Learning with High-Quality Synthetic Data from a Policy-Decoupled Approach—0
Iteratively Refined Behavior Regularization for Offline Reinforcement Learning—0
Mildly Constrained Evaluation Policy for Offline Reinforcement LearningCode0
Boosting Offline Reinforcement Learning with Action Preference Query—0
IQL-TD-MPC: Implicit Q-Learning for Hierarchical Model Predictive Control—0
Improving Offline RL by Blending Heuristics—0
Emergent Agentic Transformer from Chain of Hindsight Experience—0
Uncertainty-driven Trajectory Truncation for Data Augmentation in Offline Reinforcement LearningCode0
Conservative State Value Estimation for Offline Reinforcement LearningCode0
Skill Decision TransformerCode0
Improving Behavioural Cloning with Positive Unlabeled Learning—0
Model-based Offline Reinforcement Learning with Local Misspecification—0
Model-based trajectory stitching for improved behavioural cloning and its applications—0
TD3 with Reverse KL Regularizer for Offline Reinforcement Learning from Mixed DatasetsCode0
Flow to Control: Offline Reinforcement Learning with Lossless Primitive Discovery—0
Offline Reinforcement Learning with Closed-Form Policy Improvement Operators—0
Contextual Transformer for Offline Meta Reinforcement Learning—0
Offline Reinforcement Learning with Adaptive Behavior Regularization—0
Robust Offline Reinforcement Learning with Gradient Penalty and Constraint RelaxationCode0
Boosting Offline Reinforcement Learning via Data Rebalancing—0
Mutual Information Regularized Offline Reinforcement LearningCode0
Model-Based Offline Reinforcement Learning with Pessimism-Modulated Dynamics BeliefCode0
State Advantage Weighting for Offline RL—0
Conservative Bayesian Model-Based Value Expansion for Offline Policy OptimizationCode0
DCE: Offline Reinforcement Learning With Double Conservative Estimates—0
Hierarchical Decision Transformer—0
Q-learning Decision Transformer: Leveraging Dynamic Programming for Conditional Sequence Modelling in Offline RLCode0
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