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Showing 101–150 of 226 papers

TitleStatusHype
Constrained Latent Action Policies for Model-Based Offline Reinforcement LearningCode0
Hypercube Policy Regularization Framework for Offline Reinforcement LearningCode0
Offline Behavior DistillationCode0
Return Augmented Decision Transformer for Off-Dynamics Reinforcement Learning—0
NetworkGym: Reinforcement Learning Environments for Multi-Access Traffic Management in Network SimulationCode0
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
Q-value Regularized Decision ConvFormer for Offline Reinforcement Learning—0
The Role of Deep Learning Regularizations on Actors in Offline RLCode0
Forward KL Regularized Preference Optimization for Aligning Diffusion Policies—0
SUMO: Search-Based Uncertainty Estimation for Model-Based Offline Reinforcement Learning—0
Offline Model-Based Reinforcement Learning with Anti-Exploration—0
SelfBC: Self Behavior Cloning for Offline Reinforcement Learning—0
Diffusion Models as Optimizers for Efficient Planning in Offline RLCode0
Offline Reinforcement Learning with Imputed Rewards—0
Model-based Offline Reinforcement Learning with Lower Expectile Q-Learning—0
Binary Reward Labeling: Bridging Offline Preference and Reward-Based Reinforcement Learning—0
SeMOPO: Learning High-quality Model and Policy from Low-quality Offline Visual Datasets—0
DiffPoGAN: Diffusion Policies with Generative Adversarial Networks for Offline Reinforcement Learning—0
Residual Learning and Context Encoding for Adaptive Offline-to-Online Reinforcement LearningCode0
CDSA: Conservative Denoising Score-based Algorithm for Offline Reinforcement Learning—0
Stabilizing Extreme Q-learning by Maclaurin ExpansionCode0
UDQL: Bridging The Gap between MSE Loss and The Optimal Value Function in Offline Reinforcement Learning—0
Decision Mamba: Reinforcement Learning via Hybrid Selective Sequence Modeling—0
Learning from Random Demonstrations: Offline Reinforcement Learning with Importance-Sampled Diffusion Models—0
Fourier Controller Networks for Real-Time Decision-Making in Embodied Learning—0
AlignIQL: Policy Alignment in Implicit Q-Learning through Constrained OptimizationCode0
DIDI: Diffusion-Guided Diversity for Offline Behavioral GenerationCode0
State-Constrained Offline Reinforcement Learning—0
Task-agnostic Decision Transformer for Multi-type Agent Control with Federated Split Training—0
Towards Robust Policy: Enhancing Offline Reinforcement Learning with Adversarial Attacks and Defenses—0
Decision Mamba ArchitecturesCode0
Improving Offline Reinforcement Learning with Inaccurate Simulators—0
Offline Trajectory Generalization for Offline Reinforcement Learning—0
Regularized Conditional Diffusion Model for Multi-Task Preference Alignment—0
Compositional Conservatism: A Transductive Approach in Offline Reinforcement LearningCode0
Grid-Mapping Pseudo-Count Constraint for Offline Reinforcement LearningCode0
Simple Ingredients for Offline Reinforcement Learning—0
A2PO: Towards Effective Offline Reinforcement Learning from an Advantage-aware PerspectiveCode0
Align Your Intents: Offline Imitation Learning via Optimal Transport—0
Contrastive Diffuser: Planning Towards High Return States via Contrastive Learning—0
Diffusion World Model: Future Modeling Beyond Step-by-Step Rollout for Offline Reinforcement Learning—0
Deep autoregressive density nets vs neural ensembles for model-based offline reinforcement learning—0
DiffStitch: Boosting Offline Reinforcement Learning with Diffusion-based Trajectory Stitching—0
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