{"total":87,"rows":[{"id":"2409.00588","title":"Diffusion Policy Policy Optimization","created":"2024-09-01","cited_by_count":280,"area":"diffusion"},{"id":"2502.02538","title":"Flow Q-Learning","created":"2025-02-04","cited_by_count":184,"area":"diffusion"},{"id":"2506.15799","title":"Steering Your Diffusion Policy with Latent Space Reinforcement Learning","created":"2025-06-18","cited_by_count":169,"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":"2405.16173","title":"Diffusion-based Reinforcement Learning via Q-weighted Variational Policy Optimization","created":"2024-05-25","cited_by_count":110,"area":"diffusion"},{"id":"2405.15177","title":"Diffusion Actor-Critic with Entropy Regulator","created":"2024-05-24","cited_by_count":94,"area":"diffusion"},{"id":"2403.03890","title":"Hierarchical Diffusion Policy for Kinematics-Aware Multi-Task Robotic Manipulation","created":"2024-03-06","cited_by_count":93,"area":"diffusion"},{"id":"2311.01223","title":"Diffusion Models for Reinforcement Learning: A Survey","created":"2023-11-02","cited_by_count":91,"area":"diffusion"},{"id":"2503.04975","title":"Energy-Weighted Flow Matching for Offline Reinforcement Learning","created":"2025-03-06","cited_by_count":73,"area":"diffusion"},{"id":"2405.20971","title":"Amortizing intractable inference in diffusion models for vision, language, and control","created":"2024-05-31","cited_by_count":72,"area":"diffusion"},{"id":"2310.07297","title":"Score Regularized Policy Optimization through Diffusion Behavior","created":"2023-10-11","cited_by_count":71,"area":"diffusion"},{"id":"2502.02316","title":"DIME:Diffusion-Based Maximum Entropy Reinforcement Learning","created":"2025-02-04","cited_by_count":58,"area":"diffusion"},{"id":"2406.00681","title":"Learning Multimodal Behaviors from Scratch with Diffusion Policy Gradient","created":"2024-06-02","cited_by_count":51,"area":"diffusion"},{"id":"2405.19690","title":"Diffusion Policies creating a Trust Region for Offline Reinforcement Learning","created":"2024-05-30","cited_by_count":43,"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":"2310.06343","title":"Boosting Continuous Control with Consistency Policy","created":"2023-10-10","cited_by_count":38,"area":"diffusion"},{"id":"2601.14234","title":"Q-learning with Adjoint Matching","created":"2026-01-20","cited_by_count":37,"area":"diffusion"},{"id":"2502.11612","title":"Maximum Entropy Reinforcement Learning with Diffusion Policy","created":"2025-02-17","cited_by_count":34,"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":"2405.20555","title":"Diffusion Actor-Critic: Formulating Constrained Policy Iteration as Diffusion Noise Regression for Offline Reinforcement Learning","created":"2024-05-31","cited_by_count":33,"area":"diffusion"},{"id":"2402.04080","title":"Entropy-regularized Diffusion Policy with Q-Ensembles for Offline Reinforcement Learning","created":"2024-02-06","cited_by_count":31,"area":"diffusion"},{"id":"2503.00897","title":"A Simple and Effective Reinforcement Learning Method for Text-to-Image Diffusion Fine-tuning","created":"2025-03-02","cited_by_count":30,"area":"diffusion"},{"id":"2310.05333","title":"DiffCPS: Diffusion Model based Constrained Policy Search for Offline Reinforcement Learning","created":"2023-10-09","cited_by_count":28,"area":"diffusion"},{"id":"2502.04778","title":"Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning","created":"2025-02-07","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":"2307.01472","title":"Improving Generalization and Data Efficiency with Diffusion in Offline Multi-agent RL","created":"2023-07-04","cited_by_count":15,"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":"2505.14139","title":"FlowQ: Energy-Guided Flow Policies for Offline Reinforcement Learning","created":"2025-05-20","cited_by_count":15,"area":"diffusion"},{"id":"2505.23426","title":"Enhanced DACER Algorithm with High Diffusion Efficiency","created":"2025-05-29","cited_by_count":13,"area":"diffusion"},{"id":"2407.09024","title":"Aligning Diffusion Behaviors with Q-functions for Efficient Continuous Control","created":"2024-07-12","cited_by_count":12,"area":"diffusion"},{"id":"2410.00051","title":"Generalizing Consistency Policy to Visual RL with Prioritized Proximal Experience Regularization","created":"2024-09-28","cited_by_count":11,"area":"diffusion"},{"id":"2508.13904","title":"One-Step Flow Q-Learning: Addressing the Diffusion Policy Bottleneck in Offline Reinforcement Learning","created":"2025-08-19","cited_by_count":11,"area":"diffusion"},{"id":"2602.22801","title":"Unleashing the Potential of Diffusion Models for End-to-End Autonomous Driving","created":"2026-02-26","cited_by_count":11,"area":"diffusion"},{"id":"2404.04920","title":"Regularized Conditional Diffusion Model for Multi-Task Preference Alignment","created":"2024-04-07","cited_by_count":9,"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":"2505.10482","title":"Fine-tuning Diffusion Policies with Backpropagation Through Diffusion Timesteps","created":"2025-05-15","cited_by_count":7,"area":"diffusion"},{"id":"2507.20499","title":"DmC: Nearest Neighbor Guidance Diffusion Model for Offline Cross-domain Reinforcement Learning","created":"2025-07-28","cited_by_count":7,"area":"diffusion"},{"id":"2601.00898","title":"Dichotomous Diffusion Policy Optimization","created":"2025-12-31","cited_by_count":6,"area":"diffusion"},{"id":"2505.21750","title":"Hierarchical Reinforcement Learning with Uncertainty-Guided Diffusional Subgoals","created":"2025-05-27","cited_by_count":5,"area":"diffusion"},{"id":"2601.10471","title":"DeFlow: Decoupling Manifold Modeling and Value Maximization for Offline Policy Extraction","created":"2026-01-15","cited_by_count":5,"area":"diffusion"},{"id":"2602.02924","title":"How Does the Lagrangian Guide Safe Reinforcement Learning through Diffusion Models?","created":"2026-02-02","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":"2505.08376","title":"Adaptive Diffusion Policy Optimization for Robotic Manipulation","created":"2025-05-13","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":"2405.18729","title":"Preferred-Action-Optimized Diffusion Policies for Offline Reinforcement Learning","created":"2024-05-29","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":"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":"2506.03154","title":"Modular Diffusion Policy Training: Decoupling and Recombining Guidance and Diffusion for Offline RL","created":"2025-05-19","cited_by_count":3,"area":"diffusion"},{"id":"2602.18291","title":"Diffusing to Coordinate: Efficient Online Multi-Agent Diffusion Policies","created":"2026-02-20","cited_by_count":3,"area":"diffusion"},{"id":"2603.27450","title":"FlowRL: A Taxonomy and Modular Framework for Reinforcement Learning with Diffusion Policies","created":"2026-03-29","cited_by_count":3,"area":"diffusion"},{"id":"2604.14698","title":"Mean Flow Policy Optimization","created":"2026-04-16","cited_by_count":3,"area":"diffusion"},{"id":"2606.14801","title":"QPILOTS: Efficient Test-Time Q-Steering for Flow Policies","created":"2026-06-11","cited_by_count":3,"area":"diffusion"},{"id":"2405.19189","title":"DyDiff: Long-Horizon Rollout via Dynamics Diffusion for Offline Reinforcement Learning","created":"2024-05-29","cited_by_count":2,"area":"diffusion"},{"id":"2505.01822","title":"Analytic Energy-Guided Policy Optimization for Offline Reinforcement Learning","created":"2025-05-03","cited_by_count":2,"area":"diffusion"},{"id":"2510.12253","title":"Diffusion Models for Reinforcement Learning: Foundations, Taxonomy, and Development","created":"2025-10-14","cited_by_count":2,"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":"2604.17919","title":"Fisher Decorator: Refining Flow Policy via a Local Transport Map","created":"2026-04-20","cited_by_count":2,"area":"diffusion"},{"id":"2605.06156","title":"Entropy-Regularized Adjoint Matching for Offline Reinforcement Learning","created":"2026-05-07","cited_by_count":2,"area":"diffusion"},{"id":"2606.15260","title":"Trust-Region Diffusion Policies for Massively Parallel On-Policy RL","created":"2026-06-13","cited_by_count":2,"area":"diffusion"},{"id":"2606.17551","title":"Reversal Q-Learning","created":"2026-06-16","cited_by_count":2,"area":"diffusion"},{"id":"2608.05084","title":"Learning When to Stop: Prefix-Optimal Dynamic Diffusion Policies for Continuous Control","created":"2026-08-05","cited_by_count":2,"area":"diffusion"},{"id":"2408.13092","title":"Diffusion-based Episodes Augmentation for Offline Multi-Agent Reinforcement Learning","created":"2024-08-23","cited_by_count":1,"area":"diffusion"},{"id":"2409.16298","title":"BetterBodies: Reinforcement Learning guided Diffusion for Antibody Sequence Design","created":"2024-09-09","cited_by_count":1,"area":"diffusion"},{"id":"2409.19949","title":"Task-Agnostic Pre-training and Task-Guided Fine-tuning for Versatile Diffusion Planner","created":"2024-09-30","cited_by_count":1,"area":"diffusion"},{"id":"2411.01349","title":"The Role of Domain Randomization in Training Diffusion Policies for Whole-Body Humanoid Control","created":"2024-11-02","cited_by_count":1,"area":"diffusion"},{"id":"2501.06718","title":"DRDT3: Diffusion-Refined Decision Test-Time Training Model","created":"2025-01-12","cited_by_count":1,"area":"diffusion"},{"id":"2509.18433","title":"Diffusion Policies with Offline and Inverse Reinforcement Learning for Promoting Physical Activity in Older Adults Using Wearable Sensors","created":"2025-09-22","cited_by_count":1,"area":"diffusion"},{"id":"2510.04234","title":"Flexible Locomotion Learning with Diffusion Model Predictive Control","created":"2025-10-05","cited_by_count":1,"area":"diffusion"},{"id":"2510.11499","title":"Offline Reinforcement Learning with Generative Trajectory Policies","created":"2025-10-13","cited_by_count":1,"area":"diffusion"},{"id":"2511.08922","title":"Diffusion Policies with Value-Conditional Optimization for Offline Reinforcement Learning","created":"2025-11-12","cited_by_count":1,"area":"diffusion"},{"id":"2601.01003","title":"Contractive Diffusion Policies: Robust Action Diffusion via Contractive Score-Based Sampling with Differential Equations","created":"2026-01-02","cited_by_count":1,"area":"diffusion"},{"id":"2602.18117","title":"Flow Matching with Injected Noise for Offline-to-Online Reinforcement Learning","created":"2026-02-20","cited_by_count":1,"area":"diffusion"},{"id":"2603.02613","title":"Real-Time Generative Policy via Langevin-Guided Flow Matching for Autonomous Driving","created":"2026-03-03","cited_by_count":1,"area":"diffusion"},{"id":"2605.12416","title":"Aligning Flow Map Policies with Optimal Q-Guidance","created":"2026-05-12","cited_by_count":1,"area":"diffusion"},{"id":"2606.10825","title":"MODIP: Efficient Model-Based Optimization for Diffusion Policies","created":"2026-06-09","cited_by_count":1,"area":"diffusion"},{"id":"2410.05323","title":"From Incomplete Coarse-Grained to Complete Fine-Grained: A Two-Stage Framework for Spatiotemporal Data Reconstruction","created":"2024-10-05","cited_by_count":0,"area":"diffusion"},{"id":"2503.09746","title":"Solving Bayesian inverse problems with diffusion priors and off-policy RL","created":"2025-03-12","cited_by_count":0,"area":"diffusion"},{"id":"2511.06937","title":"Fine-Tuning Diffusion-Based Recommender Systems via Reinforcement Learning with Reward Function Optimization","created":"2025-11-10","cited_by_count":0,"area":"diffusion"},{"id":"2602.09207","title":"CausalGDP: Causality-Guided Diffusion Policies for Reinforcement Learning","created":"2026-02-09","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":"2607.03903","title":"CDCP: Conditional Diffusion Model with Contextual Prompts for Multi-task Offline Safe Reinforcement Learning","created":"2026-07-04","cited_by_count":0,"area":"diffusion"},{"id":"2607.10369","title":"VINE: Taming Generative Control Policies for Reinforcement Learning","created":"2026-07-11","cited_by_count":0,"area":"diffusion"},{"id":"2609.01609","title":"DiDrive: A Risk-Aware Hierarchical Diffusion Framework for Safe Offline Reinforcement Learning in Autonomous Driving","created":"2026-06-04","cited_by_count":0,"area":"diffusion"},{"id":"2609.33337","title":"Safe Score Matching: Diffusion Policies with Hamilton-Jacobi Reachability for Online Safe Reinforcement Learning","created":"2026-09-27","cited_by_count":0,"area":"diffusion"},{"id":"2610.12848","title":"Reinforcement Learning via Fixed-point Flow Matching","created":"2026-10-09","cited_by_count":0,"area":"diffusion"},{"id":"2610.14941","title":"Compositional Average Velocity Modeling for Efficient Diffusion Offline Reinforcement Learning","created":"2026-10-10","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}