D4RL

D4RL Dataset on HuggingFace This repository hosts the pre-downloaded D4RL dataset on HuggingFace. It is designed to provide accelerated data downloading for users, eliminating the need to download the dataset from scratch. Installation To use this dataset, you need to clone it into your local .d4rl directory. Here are

Papers using D4RL (88)

Penalizing Infeasible Actions and Reward Scaling in Reinforcement Learning with Offline Data2025 · 6 citesDirectly Forecasting Belief for Reinforcement Learning with Delays2025 · 4 citesWavelet Fourier Diffuser: Frequency-Aware Diffusion Model for Reinforcement Learning2025 · 2 citesLearning on One Mode: Addressing Multi-modality in Offline Reinforcement Learning2024 · 1 citesDiffusion Model Predictive Control2024Reinforcement Learning via Value Gradient Flow2026IPD: Boosting Sequential Policy with Imaginary Planning Distillation in Offline Reinforcement Learning2026Robust Regularized Policy Iteration under Transition Uncertainty2026GEM: Guided Expectation-Maximization for Behavior-Normalized Candidate Action Selection in Offline RL2026Efficient Anti-exploration via VQVAE and Fuzzy Clustering in Offline Reinforcement Learning2026SMAC: Score-Matched Actor-Critics for Robust Offline-to-Online Transfer2026Flow Actor-Critic for Offline Reinforcement Learning2026Off-Policy Actor-Critic with Sigmoid-Bounded Entropy for Real-World Robot Learning2026Automatic Constraint Policy Optimization based on Continuous Constraint Interpolation Framework for Offline Reinforcement Learning2026Agile Reinforcement Learning through Separable Neural Architecture2026Guided Flow Policy: Learning from High-Value Actions in Offline Reinforcement Learning2025Long-Horizon Model-Based Offline Reinforcement Learning Without Conservatism2025Optimal Perturbation Budget Allocation for Data Poisoning in Offline Reinforcement Learning2025Adaptive Replay Buffer for Offline-to-Online Reinforcement Learning2025From Static to Dynamic: Enhancing Offline-to-Online Reinforcement Learning via Energy-Guided Diffusion Stratification2025Opinion: Towards Unified Expressive Policy Optimization for Robust Robot Learning2025Quantile Q-Learning: Revisiting Offline Extreme Q-Learning with Quantile Regression2025One-Step Generative Policies with Q-Learning: A Reformulation of MeanFlow2025Enhancing Robustness of Offline Reinforcement Learning Under Data Corruption via Sharpness-Aware Minimization2025ASTRO: Adaptive Stitching via Dynamics-Guided Trajectory Rollouts2025Offline Reinforcement Learning with Generative Trajectory Policies2025What Fundamental Structure in Reward Functions Enables Efficient Sparse-Reward Learning?2025Diffusion Policies with Offline and Inverse Reinforcement Learning for Promoting Physical Activity in Older Adults Using Wearable Sensors2025DAWM: Diffusion Action World Models for Offline Reinforcement Learning via Action-Inferred Transitions2025Unleashing Flow Policies with Distributional Critics2025Robust Policy Expansion for Offline-to-Online RL under Diverse Data Corruption2025Offline-to-Online Reinforcement Learning with Classifier-Free Diffusion Generation2025One-Step Flow Q-Learning: Addressing the Diffusion Policy Bottleneck in Offline Reinforcement Learning2025Adaptive Scaling of Policy Constraints for Offline Reinforcement Learning2025Online Pre-Training for Offline-to-Online Reinforcement Learning2025Consistency Trajectory Planning: High-Quality and Efficient Trajectory Optimization for Offline Model-Based Reinforcement Learning2025Should We Ever Prefer Decision Transformer for Offline Reinforcement Learning?2025Offline Reinforcement Learning with Wasserstein Regularization via Optimal Transport Maps2025From Novelty to Imitation: Self-Distilled Rewards for Offline Reinforcement Learning2025Belief-Based Offline Reinforcement Learning for Delay-Robust Policy Optimization2025BiTrajDiff: Bidirectional Trajectory Generation with Diffusion Models for Offline Reinforcement Learning2025Offline RL with Smooth OOD Generalization in Convex Hull and its Neighborhood2025MOORL: A Framework for Integrating Offline-Online Reinforcement Learning2025CAWR: Corruption-Averse Advantage-Weighted Regression for Robust Policy Optimization2025Accelerating Residual Reinforcement Learning with Uncertainty Estimation2025TROFI: Trajectory-Ranked Offline Inverse Reinforcement Learning2025Habitizing Diffusion Planning For Efficient And Effective Decision Making2025Beyond the Known: Decision Making with Counterfactual Reasoning Decision Transformer2025 · 1 citesAnalytic Energy-Guided Policy Optimization for Offline Reinforcement Learning2025Taming OOD Actions for Offline Reinforcement Learning: An Advantage-Based Approach2025Pretraining a Shared Q-Network for Data-Efficient Offline Reinforcement Learning2025Imagination-Limited Q-Learning for Offline Reinforcement Learning2025Diffusion Self-Weighted Guidance for Offline Reinforcement Learning2025Learning to Trust Bellman Updates: Selective State-Adaptive Regularization for Offline RL2025VIPO: Value Function Inconsistency Penalized Offline Reinforcement Learning2025Model-Based Offline Reinforcement Learning with Adversarial Data Augmentation2025Learning from Suboptimal Data in Continuous Control via Auto-Regressive Soft Q-Network2025Flow Q-Learning2025Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning2025SR-Reward: Taking The Path More Traveled2025PIQL: Projective Implicit Q-Learning with Support Constraint for Offline Reinforcement Learning2025M$^3$PC: Test-time Model Predictive Control for Pretrained Masked Trajectory Model2024SAMG: Offline-to-Online Reinforcement Learning via State-Action-Conditional Offline Model Guidance2024Q-Distribution guided Q-learning for offline reinforcement learning: Uncertainty penalized Q-value via consistency model2024KAN v.s. MLP for Offline Reinforcement Learning2024 · 2 citesNetworkGym: Reinforcement Learning Environments for Multi-Access Traffic Management in Network Simulation2024 · 2 citesSUMO: Search-Based Uncertainty Estimation for Model-Based Offline Reinforcement Learning2024Forward KL Regularized Preference Optimization for Aligning Diffusion Policies2024Q-value Regularized Decision ConvFormer for Offline Reinforcement Learning2024Planning Transformer: Long-Horizon Offline Reinforcement Learning with Planning Tokens2024Rethinking Optimal Transport in Offline Reinforcement Learning2024Offline Behavior Distillation2024Return Augmented Decision Transformer for Off-Dynamics Reinforcement Learning2024Hypercube Policy Regularization Framework for Offline Reinforcement Learning2024Constrained Latent Action Policies for Model-Based Offline Reinforcement Learning2024Enhancing Decision Transformer with Diffusion-Based Trajectory Branch Generation2024Are Expressive Models Truly Necessary for Offline RL?2024Goal-Conditioned Data Augmentation for Offline Reinforcement Learning2024DRDT3: Diffusion-Refined Decision Test-Time Training Model2025Habitizing Diffusion Planning for Efficient and Effective Decision Making2025Decision SpikeFormer: Spike-Driven Transformer for Decision Making2025Policy-Based Trajectory Clustering in Offline Reinforcement Learning2025Double Check My Desired Return: Transformer with Target Alignment for Offline Reinforcement Learning2025Human-in-the-Loop Bandwidth Estimation for Quality of Experience Optimization in Real-Time Video Communication2025Diffusion Policies with Value-Conditional Optimization for Offline Reinforcement Learning2025CS-GBA: A Critical Sample-based Gradient-guided Backdoor Attack for Offline Reinforcement Learning2026Fast and Highly Expressive Policy Learning for Offline Reinforcement Learning via Bootstrapped Flow Q-Learning2026An Optimal Discriminator Weighted Imitation Perspective for Reinforcement Learning2025