{"total":136,"rows":[{"id":"2304.10573","title":"IDQL: Implicit Q-Learning as an Actor-Critic Method with Diffusion Policies","created":"2023-04-20","cited_by_count":325,"area":"diffusion"},{"id":"2402.10885","title":"3D Diffuser Actor: Policy Diffusion with 3D Scene Representations","created":"2024-02-16","cited_by_count":282,"area":"diffusion"},{"id":"2409.00588","title":"Diffusion Policy Policy Optimization","created":"2024-09-01","cited_by_count":280,"area":"diffusion"},{"id":"2310.07896","title":"NoMaD: Goal Masked Diffusion Policies for Navigation and Exploration","created":"2023-10-11","cited_by_count":248,"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":"2312.11752","title":"Learning a Diffusion Model Policy from Rewards via Q-Score Matching","created":"2023-12-18","cited_by_count":138,"area":"diffusion"},{"id":"2407.05996","title":"Multimodal Diffusion Transformer: Learning Versatile Behavior from Multimodal Goals","created":"2024-07-08","cited_by_count":134,"area":"diffusion"},{"id":"2403.03954","title":"3D Diffusion Policy: Generalizable Visuomotor Policy Learning via Simple 3D Representations","created":"2024-03-06","cited_by_count":116,"area":"diffusion"},{"id":"2305.13122","title":"Policy Representation via Diffusion Probability Model for Reinforcement Learning","created":"2023-05-22","cited_by_count":112,"area":"diffusion"},{"id":"2405.16173","title":"Diffusion-based Reinforcement Learning via Q-weighted Variational Policy Optimization","created":"2024-05-25","cited_by_count":110,"area":"diffusion"},{"id":"2412.04987","title":"FlowPolicy: Enabling Fast and Robust 3D Flow-based Policy via Consistency Flow Matching for Robot Manipulation","created":"2024-12-06","cited_by_count":104,"area":"diffusion"},{"id":"2309.16984","title":"Consistency Models as a Rich and Efficient Policy Class for Reinforcement Learning","created":"2023-09-29","cited_by_count":100,"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":"2311.01223","title":"Diffusion Models for Reinforcement Learning: A Survey","created":"2023-11-02","cited_by_count":91,"area":"diffusion"},{"id":"2410.21257","title":"One-Step Diffusion Policy: Fast Visuomotor Policies via Diffusion Distillation","created":"2024-10-28","cited_by_count":89,"area":"diffusion"},{"id":"2305.17330","title":"MADiff: Offline Multi-agent Learning with Diffusion Models","created":"2023-05-27","cited_by_count":75,"area":"diffusion"},{"id":"2404.07771","title":"An Overview of Diffusion Models: Applications, Guided Generation, Statistical Rates and Optimization","created":"2024-04-11","cited_by_count":73,"area":"diffusion"},{"id":"2410.10088","title":"The Ingredients for Robotic Diffusion Transformers","created":"2024-10-14","cited_by_count":73,"area":"diffusion"},{"id":"2403.10672","title":"Riemannian Flow Matching Policy for Robot Motion Learning","created":"2024-03-15","cited_by_count":63,"area":"diffusion"},{"id":"2403.11968","title":"Unveil Conditional Diffusion Models with Classifier-free Guidance: A Sharp Statistical Theory","created":"2024-03-18","cited_by_count":63,"area":"diffusion"},{"id":"2502.02316","title":"DIME:Diffusion-Based Maximum Entropy Reinforcement Learning","created":"2025-02-04","cited_by_count":58,"area":"diffusion"},{"id":"2406.01586","title":"ManiCM: Real-time 3D Diffusion Policy via Consistency Model for Robotic Manipulation","created":"2024-06-03","cited_by_count":57,"area":"diffusion"},{"id":"2308.05384","title":"Enhancing Deep Reinforcement Learning: A Tutorial on Generative Diffusion Models in Network Optimization","created":"2023-08-10","cited_by_count":56,"area":"diffusion"},{"id":"2406.04806","title":"Streaming Diffusion Policy: Fast Policy Synthesis with Variable Noise Diffusion Models","created":"2024-06-07","cited_by_count":56,"area":"diffusion"},{"id":"2409.01083","title":"Affordance-based Robot Manipulation with Flow Matching","created":"2024-09-02","cited_by_count":54,"area":"diffusion"},{"id":"2406.00681","title":"Learning Multimodal Behaviors from Scratch with Diffusion Policy Gradient","created":"2024-06-02","cited_by_count":51,"area":"diffusion"},{"id":"2412.12953","title":"Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning","created":"2024-12-17","cited_by_count":48,"area":"diffusion"},{"id":"2506.13922","title":"DynaGuide: Steering Diffusion Polices with Active Dynamic Guidance","created":"2025-06-16","cited_by_count":44,"area":"diffusion"},{"id":"2402.06559","title":"Diffusion-ES: Gradient-free Planning with Diffusion for Autonomous Driving and Zero-Shot Instruction Following","created":"2024-02-09","cited_by_count":42,"area":"diffusion"},{"id":"2504.08438","title":"Diffusion Models for Robotic Manipulation: A Survey","created":"2025-04-11","cited_by_count":41,"area":"diffusion"},{"id":"2310.06343","title":"Boosting Continuous Control with Consistency Policy","created":"2023-10-10","cited_by_count":38,"area":"diffusion"},{"id":"2409.14411","title":"Scaling Diffusion Policy in Transformer to 1 Billion Parameters for Robotic Manipulation","created":"2024-09-22","cited_by_count":38,"area":"diffusion"},{"id":"2412.03142","title":"AffordDP: Generalizable Diffusion Policy with Transferable Affordance","created":"2024-12-04","cited_by_count":37,"area":"diffusion"},{"id":"2506.20701","title":"Diffusion Tree Sampling: Scalable inference-time alignment of diffusion models","created":"2025-06-25","cited_by_count":34,"area":"diffusion"},{"id":"2412.09342","title":"Diffusion Predictive Control with Constraints","created":"2024-12-12","cited_by_count":33,"area":"diffusion"},{"id":"2412.19948","title":"Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models","created":"2024-12-27","cited_by_count":33,"area":"diffusion"},{"id":"2407.01573","title":"Model-Based Diffusion for Trajectory Optimization","created":"2024-05-28","cited_by_count":32,"area":"diffusion"},{"id":"2410.17488","title":"GenDP: 3D Semantic Fields for Category-Level Generalizable Diffusion Policy","created":"2024-10-23","cited_by_count":25,"area":"diffusion"},{"id":"2409.11047","title":"TacDiffusion: Force-domain Diffusion Policy for Precise Tactile Manipulation","created":"2024-09-17","cited_by_count":23,"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":"2405.16194","title":"Diffusion-Reward Adversarial Imitation Learning","created":"2024-05-25","cited_by_count":20,"area":"diffusion"},{"id":"2505.18763","title":"GenPO: Generative Diffusion Models Meet On-Policy Reinforcement Learning","created":"2025-05-24","cited_by_count":20,"area":"diffusion"},{"id":"2508.11002","title":"3D FlowMatch Actor: Unified 3D Policy for Single- and Dual-Arm Manipulation","created":"2025-08-14","cited_by_count":20,"area":"diffusion"},{"id":"2409.18707","title":"Discrete Policy: Learning Disentangled Action Space for Multi-Task Robotic Manipulation","created":"2024-09-27","cited_by_count":19,"area":"diffusion"},{"id":"2506.20668","title":"DemoDiffusion: One-Shot Human Imitation using pre-trained Diffusion Policy","created":"2025-06-25","cited_by_count":19,"area":"diffusion"},{"id":"2306.01804","title":"Extracting Reward Functions from Diffusion Models","created":"2023-06-01","cited_by_count":18,"area":"diffusion"},{"id":"2312.06348","title":"DiffAIL: Diffusion Adversarial Imitation Learning","created":"2023-12-11","cited_by_count":18,"area":"diffusion"},{"id":"2407.07875","title":"Generative Image as Action Models","created":"2024-07-10","cited_by_count":18,"area":"diffusion"},{"id":"2412.10855","title":"Fast and Robust Visuomotor Riemannian Flow Matching Policy","created":"2024-12-14","cited_by_count":18,"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":"2503.06135","title":"FlowMP: Learning Motion Fields for Robot Planning with Conditional Flow Matching","created":"2025-03-08","cited_by_count":15,"area":"diffusion"},{"id":"2505.03432","title":"Wasserstein Convergence of Score-based Generative Models under Semiconvexity and Discontinuous Gradients","created":"2025-05-06","cited_by_count":15,"area":"diffusion"},{"id":"2407.00451","title":"Language-Guided Object-Centric Diffusion Policy for Generalizable and Collision-Aware Robotic Manipulation","created":"2024-06-29","cited_by_count":14,"area":"diffusion"},{"id":"2502.15043","title":"DDAT: Diffusion Policies Enforcing Dynamically Admissible Robot Trajectories","created":"2025-02-20","cited_by_count":14,"area":"diffusion"},{"id":"2502.12724","title":"Responsive Noise-Relaying Diffusion Policy: Responsive and Efficient Visuomotor Control","created":"2025-02-18","cited_by_count":13,"area":"diffusion"},{"id":"2508.00697","title":"On-Device Diffusion Transformer Policy for Efficient Robot Manipulation","created":"2025-08-01","cited_by_count":13,"area":"diffusion"},{"id":"2502.20108","title":"VDT-Auto: End-to-end Autonomous Driving with VLM-Guided Diffusion Transformers","created":"2025-02-27","cited_by_count":12,"area":"diffusion"},{"id":"2410.05051","title":"ComDrive: Comfort-Oriented End-to-End Autonomous Driving","created":"2024-10-07","cited_by_count":11,"area":"diffusion"},{"id":"2505.03983","title":"Diffusion Models are Secretly Exchangeable: Parallelizing DDPMs via Autospeculation","created":"2025-05-06","cited_by_count":11,"area":"diffusion"},{"id":"2602.16198","title":"Training-Free Adaptation of Diffusion Models via Doob's $h$-Transform","created":"2026-02-18","cited_by_count":11,"area":"diffusion"},{"id":"2309.05803","title":"Revisiting Energy Based Models as Policies: Ranking Noise Contrastive Estimation and Interpolating Energy Models","created":"2023-09-11","cited_by_count":10,"area":"diffusion"},{"id":"2310.02505","title":"Learning to Reach Goals via Diffusion","created":"2023-10-04","cited_by_count":10,"area":"diffusion"},{"id":"2409.05622","title":"Forward KL Regularized Preference Optimization for Aligning Diffusion Policies","created":"2024-09-09","cited_by_count":10,"area":"diffusion"},{"id":"2503.03998","title":"Robotic Compliant Object Prying Using Diffusion Policy Guided by Vision and Force Observations","created":"2025-03-06","cited_by_count":10,"area":"diffusion"},{"id":"2511.05007","title":"MoE-DP: An MoE-Enhanced Diffusion Policy for Robust Long-Horizon Robotic Manipulation with Skill Decomposition and Failure Recovery","created":"2025-11-07","cited_by_count":10,"area":"diffusion"},{"id":"2311.01419","title":"C3DM: Constrained-Context Conditional Diffusion Models for Imitation Learning","created":"2023-11-02","cited_by_count":8,"area":"diffusion"},{"id":"2406.09767","title":"DISCO: Language-Guided Manipulation with Diffusion Policies and Constrained Inpainting","created":"2024-06-14","cited_by_count":8,"area":"diffusion"},{"id":"2412.02676","title":"Planning-Guided Diffusion Policy Learning for Generalizable Contact-Rich Bimanual Manipulation","created":"2024-12-03","cited_by_count":8,"area":"diffusion"},{"id":"2503.01876","title":"Uncertainty Comes for Free: Human-in-the-Loop Policies with Diffusion Models","created":"2025-02-26","cited_by_count":8,"area":"diffusion"},{"id":"2503.02924","title":"Diverse Controllable Diffusion Policy with Signal Temporal Logic","created":"2025-03-04","cited_by_count":8,"area":"diffusion"},{"id":"2508.05396","title":"Real-Time Iteration Scheme for Diffusion Policy","created":"2025-08-07","cited_by_count":8,"area":"diffusion"},{"id":"2404.02284","title":"APEX: Ambidextrous Dual-Arm Robotic Manipulation Using Collision-Free Generative Diffusion Models","created":"2024-04-02","cited_by_count":7,"area":"diffusion"},{"id":"2411.10809","title":"Stable Continual Reinforcement Learning via Diffusion-based Trajectory Replay","created":"2024-11-16","cited_by_count":7,"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":"2410.19235","title":"Learning Diffusion Policies from Demonstrations For Compliant Contact-rich Manipulation","created":"2024-10-25","cited_by_count":6,"area":"diffusion"},{"id":"2503.04051","title":"RA-DP: Rapid Adaptive Diffusion Policy for Training-Free High-frequency Robotics Replanning","created":"2025-03-06","cited_by_count":6,"area":"diffusion"},{"id":"2409.15528","title":"Learning Diverse Robot Striking Motions with Diffusion Models and Kinematically Constrained Gradient Guidance","created":"2024-09-23","cited_by_count":5,"area":"diffusion"},{"id":"2502.02308","title":"Real-Time Operator Takeover for Visuomotor Diffusion Policy Training","created":"2025-02-04","cited_by_count":5,"area":"diffusion"},{"id":"2502.04491","title":"Provable Sample-Efficient Transfer Learning Conditional Diffusion Models via Representation Learning","created":"2025-02-06","cited_by_count":5,"area":"diffusion"},{"id":"2505.16969","title":"3D Equivariant Visuomotor Policy Learning via Spherical Projection","created":"2025-05-22","cited_by_count":5,"area":"diffusion"},{"id":"2512.21898","title":"Flexible Multitask Learning with Factorized Diffusion Policy","created":"2025-12-26","cited_by_count":5,"area":"diffusion"},{"id":"2606.22630","title":"Scalable Maximum Entropy Reinforcement Learning for Diffusion Policies via Adjoint Matching","created":"2026-06-21","cited_by_count":5,"area":"diffusion"},{"id":"2412.08398","title":"Grasp Diffusion Network: Learning Grasp Generators from Partial Point Clouds with Diffusion Models in SO(3)xR3","created":"2024-12-11","cited_by_count":4,"area":"diffusion"},{"id":"2505.15157","title":"Cascaded Diffusion Models for Neural Motion Planning","created":"2025-05-21","cited_by_count":4,"area":"diffusion"},{"id":"2508.10511","title":"KDPE: A Kernel Density Estimation Strategy for Diffusion Policy Trajectory Selection","created":"2025-08-14","cited_by_count":4,"area":"diffusion"},{"id":"2603.05117","title":"SeedPolicy: Horizon Scaling via Self-Evolving Diffusion Policy for Robot Manipulation","created":"2026-03-05","cited_by_count":4,"area":"diffusion"},{"id":"2606.22303","title":"FlowDPG: Deterministic Policy Gradient on Flow Matching Policies for Real-World Manipulation","created":"2026-06-21","cited_by_count":4,"area":"diffusion"},{"id":"2410.06911","title":"Combining Planning and Diffusion for Mobility with Unknown Dynamics","created":"2024-10-09","cited_by_count":3,"area":"diffusion"},{"id":"2411.08832","title":"Offline Adaptation of Quadruped Locomotion using Diffusion Models","created":"2024-11-13","cited_by_count":3,"area":"diffusion"},{"id":"2411.14913","title":"Enhancing Exploration with Diffusion Policies in Hybrid Off-Policy RL: Application to Non-Prehensile Manipulation","created":"2024-11-22","cited_by_count":3,"area":"diffusion"},{"id":"2502.15613","title":"Pick-and-place Manipulation Across Grippers Without Retraining: A Learning-optimization Diffusion Policy Approach","created":"2025-02-21","cited_by_count":3,"area":"diffusion"},{"id":"2503.13934","title":"COLSON: Controllable Learning-Based Social Navigation via Diffusion-Based Reinforcement Learning","created":"2025-03-18","cited_by_count":3,"area":"diffusion"},{"id":"2504.19652","title":"Robot Motion Planning using One-Step Diffusion with Noise-Optimized Approximate Motions","created":"2025-04-28","cited_by_count":3,"area":"diffusion"},{"id":"2505.19717","title":"Extremum Flow Matching for Offline Goal Conditioned Reinforcement Learning","created":"2025-05-26","cited_by_count":3,"area":"diffusion"},{"id":"2509.16830","title":"Factorizing Diffusion Policies for Observation Modality Prioritization","created":"2025-09-20","cited_by_count":3,"area":"diffusion"},{"id":"2509.24531","title":"Diffusion Bridge or Flow Matching? A Unifying Framework and Comparative Analysis","created":"2025-09-29","cited_by_count":3,"area":"diffusion"},{"id":"2510.09222","title":"FM-IRL: Flow-Matching for Reward Modeling and Policy Regularization in Reinforcement Learning","created":"2025-10-10","cited_by_count":3,"area":"diffusion"},{"id":"2512.07212","title":"Sample from What You See: Visuomotor Policy Learning via Diffusion Bridge with Observation-Embedded Stochastic Differential Equation","created":"2025-12-08","cited_by_count":3,"area":"diffusion"}],"next_cursor":"100"}