{"total":42,"rows":[{"id":"2208.06193","title":"Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning","created":"2022-08-12","cited_by_count":562,"area":"diffusion"},{"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":"2305.20081","title":"Efficient Diffusion Policies for Offline Reinforcement Learning","created":"2023-05-31","cited_by_count":157,"area":"diffusion"},{"id":"2304.12824","title":"Contrastive Energy Prediction for Exact Energy-Guided Diffusion Sampling in Offline Reinforcement Learning","created":"2023-04-25","cited_by_count":149,"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":"2401.02644","title":"Simple Hierarchical Planning with Diffusion","created":"2024-01-05","cited_by_count":73,"area":"diffusion"},{"id":"2310.07297","title":"Score Regularized Policy Optimization through Diffusion Behavior","created":"2023-10-11","cited_by_count":71,"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":"2307.04726","title":"Diffusion Policies for Out-of-Distribution Generalization in Offline Reinforcement Learning","created":"2023-07-10","cited_by_count":42,"area":"diffusion"},{"id":"2407.20109","title":"Diffusion-DICE: In-Sample Diffusion Guidance for Offline Reinforcement Learning","created":"2024-07-29","cited_by_count":42,"area":"diffusion"},{"id":"2310.06343","title":"Boosting Continuous Control with Consistency Policy","created":"2023-10-10","cited_by_count":38,"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":"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":"2509.06863","title":"floq: Training Critics via Flow-Matching for Scaling Compute in Value-Based RL","created":"2025-09-08","cited_by_count":22,"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":"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":"2306.04875","title":"Instructed Diffuser with Temporal Condition Guidance for Offline Reinforcement Learning","created":"2023-06-08","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":"2310.02505","title":"Learning to Reach Goals via Diffusion","created":"2023-10-04","cited_by_count":10,"area":"diffusion"},{"id":"2404.10662","title":"Continual Offline Reinforcement Learning via Diffusion-based Dual Generative Replay","created":"2024-04-16","cited_by_count":6,"area":"diffusion"},{"id":"2510.00502","title":"Diffusion Alignment as Variational Expectation-Maximization","created":"2025-10-01","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":"2509.21942","title":"Structural Information-based Hierarchical Diffusion for Offline Reinforcement Learning","created":"2025-09-26","cited_by_count":3,"area":"diffusion"},{"id":"2410.11338","title":"DIAR: Diffusion-model-guided Implicit Q-learning with Adaptive Revaluation","created":"2024-10-15","cited_by_count":2,"area":"diffusion"},{"id":"2411.11327","title":"Enhancing Decision Transformer with Diffusion-Based Trajectory Branch Generation","created":"2024-11-18","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":"2602.08054","title":"Epigraph-Guided Flow Matching for Safe and Performant Offline Reinforcement Learning","created":"2026-02-08","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":"2501.12942","title":"Offline Diffusion Policy for Multi-User Delay-Constrained Scheduling","created":"2025-01-22","cited_by_count":1,"area":"diffusion"},{"id":"2503.20176","title":"Offline Reinforcement Learning with Discrete Diffusion Skills","created":"2025-03-26","cited_by_count":1,"area":"diffusion"},{"id":"2505.18345","title":"Diffusion Self-Weighted Guidance for Offline Reinforcement Learning","created":"2025-05-23","cited_by_count":1,"area":"diffusion"},{"id":"2507.02356","title":"Offline Reinforcement Learning with Penalized Action Noise Injection","created":"2025-07-03","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":"2609.06882","title":"Noisy-Space Policy Gradient for Diffusion Policies in Offline Reinforcement Learning","created":"2026-09-07","cited_by_count":1,"area":"diffusion"},{"id":"2504.16858","title":"Planning with Diffusion Models for Target-Oriented Dialogue Systems","created":"2025-04-23","cited_by_count":0,"area":"diffusion"},{"id":"2510.24983","title":"LRT-Diffusion: Calibrated Risk-Aware Guidance for Diffusion Policies","created":"2025-10-28","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":"2602.20422","title":"Diffusion Modulation via Environment Mechanism Modeling for Planning","created":"2026-02-23","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":"2610.17788","title":"Posterior-Averaged Bellman Flow Matching for Distributional Critics","created":"2026-10-13","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}