{"total":13,"rows":[{"id":"2301.04104","title":"Mastering Diverse Domains through World Models","created":"2023-01-10","cited_by_count":1253,"area":"wm"},{"id":"2209.00588","title":"Transformers are Sample-Efficient World Models","created":"2022-09-01","cited_by_count":328,"area":"wm"},{"id":"2111.00210","title":"Mastering Atari Games with Limited Data","created":"2021-10-30","cited_by_count":237,"area":"wm"},{"id":"2310.08710","title":"Waymax: An Accelerated, Data-Driven Simulator for Large-Scale Autonomous Driving Research","created":"2023-10-12","cited_by_count":160,"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":"2504.02515","title":"Exploration-Driven Generative Interactive Environments","created":"2025-04-03","cited_by_count":9,"area":"wm"},{"id":"2303.08690","title":"Replay Buffer with Local Forgetting for Adapting to Local Environment Changes in Deep Model-Based Reinforcement Learning","created":"2023-03-15","cited_by_count":6,"area":"wm"},{"id":"2509.13341","title":"Imagined Autocurricula","created":"2025-09-11","cited_by_count":4,"area":"wm"},{"id":"2302.04798","title":"Equivariant MuZero","created":"2023-02-09","cited_by_count":3,"area":"wm"},{"id":"2508.15013","title":"Goals and the Structure of Experience","created":"2025-08-20","cited_by_count":0,"area":"wm"},{"id":"2607.03461","title":"WorldBagel: Uncovering the Power of Unified Multimodal Models for Vision-Language-Action-World Modeling","created":"2026-07-03","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":"2609.18950","title":"Changepoint-Aware World Models: Detecting Dynamics Shifts and Recovering by Forgetting Stale Replay in Model-Based RL","created":"2026-07-15","cited_by_count":0,"area":"wm"}],"next_cursor":null}