{"total":43,"rows":[{"id":"2409.00588","title":"Diffusion Policy Policy Optimization","created":"2024-09-01","cited_by_count":280,"area":"diffusion"},{"id":"2301.10677","title":"Imitating Human Behaviour with Diffusion Models","created":"2023-01-25","cited_by_count":263,"area":"diffusion"},{"id":"2304.02532","title":"Goal-Conditioned Imitation Learning using Score-based Diffusion Policies","created":"2023-04-05","cited_by_count":236,"area":"diffusion"},{"id":"2405.07503","title":"Consistency Policy: Accelerated Visuomotor Policies via Consistency Distillation","created":"2024-05-13","cited_by_count":166,"area":"diffusion"},{"id":"2403.03181","title":"Behavior Generation with Latent Actions","created":"2024-03-05","cited_by_count":160,"area":"diffusion"},{"id":"2305.16317","title":"Parallel Sampling of Diffusion Models","created":"2023-05-25","cited_by_count":112,"area":"diffusion"},{"id":"2505.22094","title":"ReinFlow: Fine-tuning Flow Matching Policy with Online Reinforcement Learning","created":"2025-05-28","cited_by_count":97,"area":"diffusion"},{"id":"2407.01812","title":"Equivariant Diffusion Policy","created":"2024-07-01","cited_by_count":66,"area":"diffusion"},{"id":"2409.01083","title":"Affordance-based Robot Manipulation with Flow Matching","created":"2024-09-02","cited_by_count":54,"area":"diffusion"},{"id":"2312.04549","title":"PlayFusion: Skill Acquisition via Diffusion from Language-Annotated Play","created":"2023-12-07","cited_by_count":50,"area":"diffusion"},{"id":"2411.09153","title":"VidMan: Exploiting Implicit Dynamics from Video Diffusion Model for Effective Robot Manipulation","created":"2024-11-14","cited_by_count":46,"area":"diffusion"},{"id":"2504.08438","title":"Diffusion Models for Robotic Manipulation: A Survey","created":"2025-04-11","cited_by_count":41,"area":"diffusion"},{"id":"2406.09509","title":"CleanDiffuser: An Easy-to-use Modularized Library for Diffusion Models in Decision Making","created":"2024-06-13","cited_by_count":39,"area":"diffusion"},{"id":"2402.16075","title":"Don't Start from Scratch: Behavioral Refinement via Interpolant-based Policy Diffusion","created":"2024-02-25","cited_by_count":21,"area":"diffusion"},{"id":"2407.12448","title":"Energy-Guided Diffusion Sampling for Offline-to-Online Reinforcement Learning","created":"2024-07-17","cited_by_count":17,"area":"diffusion"},{"id":"2408.10266","title":"Diffusion Model for Planning: A Systematic Literature Review","created":"2024-08-16","cited_by_count":17,"area":"diffusion"},{"id":"2406.12538","title":"Variational Distillation of Diffusion Policies into Mixture of Experts","created":"2024-06-18","cited_by_count":15,"area":"diffusion"},{"id":"2503.00339","title":"Falcon: Fast Visuomotor Policies via Partial Denoising","created":"2025-03-01","cited_by_count":15,"area":"diffusion"},{"id":"2502.12371","title":"IMLE Policy: Fast and Sample Efficient Visuomotor Policy Learning via Implicit Maximum Likelihood Estimation","created":"2025-02-17","cited_by_count":13,"area":"diffusion"},{"id":"2312.03395","title":"Diffused Task-Agnostic Milestone Planner","created":"2023-12-06","cited_by_count":12,"area":"diffusion"},{"id":"2508.06804","title":"D3P: Dynamic Denoising Diffusion Policy via Reinforcement Learning","created":"2025-08-09","cited_by_count":10,"area":"diffusion"},{"id":"2505.09144","title":"Latent Theory of Mind: A Decentralized Diffusion Architecture for Cooperative Manipulation","created":"2025-05-14","cited_by_count":9,"area":"diffusion"},{"id":"2508.01622","title":"VFP: Variational Flow-Matching Policy for Multi-Modal Robot Manipulation","created":"2025-08-03","cited_by_count":9,"area":"diffusion"},{"id":"2505.10482","title":"Fine-tuning Diffusion Policies with Backpropagation Through Diffusion Timesteps","created":"2025-05-15","cited_by_count":7,"area":"diffusion"},{"id":"2510.12392","title":"Improving Generative Behavior Cloning via Self-Guidance and Adaptive Chunking","created":"2025-10-14","cited_by_count":7,"area":"diffusion"},{"id":"2502.12631","title":"Score-Based Diffusion Policy Compatible with Reinforcement Learning via Optimal Transport","created":"2025-02-18","cited_by_count":6,"area":"diffusion"},{"id":"2601.12894","title":"Sparse ActionGen: Accelerating Diffusion Policy with Real-time Pruning","created":"2026-01-19","cited_by_count":5,"area":"diffusion"},{"id":"2603.17685","title":"Flow Matching Policy Optimization with Mirror Descent and Entropy Constraints","created":"2026-03-18","cited_by_count":2,"area":"diffusion"},{"id":"2605.17244","title":"Drift Flow Matching","created":"2026-05-17","cited_by_count":2,"area":"diffusion"},{"id":"2501.13241","title":"State Combinatorial Generalization In Decision Making With Conditional Diffusion Models","created":"2025-01-22","cited_by_count":1,"area":"diffusion"},{"id":"2510.19356","title":"Imitation Learning Policy based on Multi-Step Consistent Integration Shortcut Model","created":"2025-10-22","cited_by_count":1,"area":"diffusion"},{"id":"2512.07342","title":"PrivORL: Differentially Private Synthetic Dataset for Offline Reinforcement Learning","created":"2025-12-08","cited_by_count":1,"area":"diffusion"},{"id":"2604.10962","title":"ScoRe-Flow: Complete Distributional Control via Score-Based Reinforcement Learning for Flow Matching","created":"2026-04-13","cited_by_count":1,"area":"diffusion"},{"id":"2509.25822","title":"Act to See, See to Act: Diffusion-Driven Perception-Action Interplay for Adaptive Policies","created":"2025-09-30","cited_by_count":0,"area":"diffusion"},{"id":"2510.02081","title":"Fine-Tuning Flow Matching via Maximum Likelihood Estimation of Reconstructions","created":"2025-10-02","cited_by_count":0,"area":"diffusion"},{"id":"2511.08583","title":"SeFA-Policy: Fast and Accurate Visuomotor Policy Learning with Selective Flow Alignment","created":"2025-11-11","cited_by_count":0,"area":"diffusion"},{"id":"2604.15938","title":"VADF: Vision-Adaptive Diffusion Policy Framework for Efficient Robotic Manipulation","created":"2026-04-17","cited_by_count":0,"area":"diffusion"},{"id":"2605.13316","title":"Test-time Sparsity for Extreme Fast Action Diffusion","created":"2026-05-13","cited_by_count":0,"area":"diffusion"},{"id":"2605.24924","title":"Dynamic Neural Koopman Distillation for Real-Time Robot Control Using Diffusion Models","created":"2026-05-24","cited_by_count":0,"area":"diffusion"},{"id":"2606.00336","title":"From Noise to Control: Parameterized Diffusion Policies","created":"2026-05-29","cited_by_count":0,"area":"diffusion"},{"id":"2606.28939","title":"ReGuide: From Test-Time Guidance to Self-Improving Diffusion Policies","created":"2026-06-27","cited_by_count":0,"area":"diffusion"},{"id":"2609.12245","title":"DIA: Denoising Intermediate Advantage for Diffusion Policy Optimization","created":"2026-09-10","cited_by_count":0,"area":"diffusion"},{"id":"2609.30127","title":"Faster Visuomotor Policy Learning on Action Manifolds via Riemannian MeanFlow","created":"2026-09-24","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}