{"total":17,"rows":[{"id":"2106.02039","title":"Offline Reinforcement Learning as One Big Sequence Modeling Problem","created":"2021-06-03","cited_by_count":644,"area":"wm"},{"id":"2310.16029","title":"Finetuning Offline World Models in the Real World","created":"2023-10-24","cited_by_count":41,"area":"wm"},{"id":"2509.19080","title":"World4RL: Diffusion World Models for Policy Refinement with Reinforcement Learning for Robotic Manipulation","created":"2025-09-23","cited_by_count":35,"area":"wm"},{"id":"2402.03570","title":"Diffusion World Model: Future Modeling Beyond Step-by-Step Rollout for Offline Reinforcement Learning","created":"2024-02-05","cited_by_count":31,"area":"wm"},{"id":"2302.03086","title":"DITTO: Offline Imitation Learning with World Models","created":"2023-02-06","cited_by_count":21,"area":"wm"},{"id":"2504.16680","title":"Uncertainty-Aware Robotic World Model Makes Offline Model-Based Reinforcement Learning Work on Real Robots","created":"2025-04-23","cited_by_count":17,"area":"wm"},{"id":"2410.00564","title":"Scaling Offline Model-Based RL via Jointly-Optimized World-Action Model Pretraining","created":"2024-10-01","cited_by_count":14,"area":"wm"},{"id":"2206.04384","title":"Value Memory Graph: A Graph-Structured World Model for Offline Reinforcement Learning","created":"2022-06-09","cited_by_count":12,"area":"wm"},{"id":"2405.19878","title":"Learning from Random Demonstrations: Offline Reinforcement Learning with Importance-Sampled Diffusion Models","created":"2024-05-30","cited_by_count":8,"area":"wm"},{"id":"2609.03294","title":"Latent Energy Action Planning with World Models","created":"2026-09-03","cited_by_count":4,"area":"wm"},{"id":"2505.07257","title":"DARLR: Dual-Agent Offline Reinforcement Learning for Recommender Systems with Dynamic Reward","created":"2025-05-12","cited_by_count":2,"area":"wm"},{"id":"2502.19544","title":"Efficient Reinforcement Learning by Guiding World Models with Non-Curated Data","created":"2025-02-26","cited_by_count":1,"area":"wm"},{"id":"2603.22430","title":"Inference Time Policy Optimization for Offline RL with Differentiable World Models","created":"2026-03-23","cited_by_count":1,"area":"wm"},{"id":"2412.06486","title":"SimuDICE: Offline Policy Optimization Through World Model Updates and DICE Estimation","created":"2024-12-09","cited_by_count":0,"area":"wm"},{"id":"2607.14180","title":"RENEW: Towards Learning World Models and Repairing Model Exploitation from Preferences","created":"2026-07-15","cited_by_count":0,"area":"wm"},{"id":"2607.17560","title":"Reinforcement Learning: From Algorithms To Foundation Models","created":"2026-07-20","cited_by_count":0,"area":"wm"},{"id":"2609.13845","title":"LePlanner: An Iterative Amortized Controller For World Models","created":"2026-09-12","cited_by_count":0,"area":"wm"}],"next_cursor":null}