{"total":31,"rows":[{"id":"2206.14176","title":"DayDreamer: World Models for Physical Robot Learning","created":"2022-06-28","cited_by_count":400,"area":"wm"},{"id":"2206.14244","title":"Masked World Models for Visual Control","created":"2022-06-28","cited_by_count":170,"area":"wm"},{"id":"2405.03520","title":"Is Sora a World Simulator? A Comprehensive Survey on General World Models and Beyond","created":"2024-05-06","cited_by_count":111,"area":"wm"},{"id":"2110.14565","title":"DreamerPro: Reconstruction-Free Model-Based Reinforcement Learning with Prototypical Representations","created":"2021-10-27","cited_by_count":74,"area":"wm"},{"id":"2510.16732","title":"A Comprehensive Survey on World Models for Embodied AI","created":"2025-10-19","cited_by_count":68,"area":"wm"},{"id":"2605.12090","title":"World Action Models: The Next Frontier in Embodied AI","created":"2026-05-12","cited_by_count":50,"area":"wm"},{"id":"2305.18499","title":"Pre-training Contextualized World Models with In-the-wild Videos for Reinforcement Learning","created":"2023-05-29","cited_by_count":45,"area":"wm"},{"id":"2301.05832","title":"World Models and Predictive Coding for Cognitive and Developmental Robotics: Frontiers and Challenges","created":"2023-01-14","cited_by_count":36,"area":"wm"},{"id":"2307.02064","title":"Facing Off World Model Backbones: RNNs, Transformers, and S4","created":"2023-07-05","cited_by_count":31,"area":"wm"},{"id":"2211.10831","title":"Joint Embedding Predictive Architectures Focus on Slow Features","created":"2022-11-20","cited_by_count":30,"area":"wm"},{"id":"2203.00494","title":"DreamingV2: Reinforcement Learning with Discrete World Models without Reconstruction","created":"2022-03-01","cited_by_count":29,"area":"wm"},{"id":"2310.00344","title":"HarmonyDream: Task Harmonization Inside World Models","created":"2023-09-30","cited_by_count":22,"area":"wm"},{"id":"2405.06263","title":"Learning Latent Dynamic Robust Representations for World Models","created":"2024-05-10","cited_by_count":21,"area":"wm"},{"id":"2501.00226","title":"Generative Emergent Communication: Large Language Model is a Collective World Model","created":"2024-12-31","cited_by_count":15,"area":"wm"},{"id":"2405.15083","title":"MuDreamer: Learning Predictive World Models without Reconstruction","created":"2024-05-23","cited_by_count":13,"area":"wm"},{"id":"2409.14216","title":"R-AIF: Solving Sparse-Reward Robotic Tasks from Pixels with Active Inference and World Models","created":"2024-09-21","cited_by_count":10,"area":"wm"},{"id":"2310.05167","title":"Hieros: Hierarchical Imagination on Structured State Space Sequence World Models","created":"2023-10-08","cited_by_count":8,"area":"wm"},{"id":"2203.11024","title":"Multi-View Dreaming: Multi-View World Model with Contrastive Learning","created":"2022-03-15","cited_by_count":6,"area":"wm"},{"id":"2406.01361","title":"Learning to Play Atari in a World of Tokens","created":"2024-06-03","cited_by_count":6,"area":"wm"},{"id":"2303.05092","title":"Task Aware Dreamer for Task Generalization in Reinforcement Learning","created":"2023-03-09","cited_by_count":5,"area":"wm"},{"id":"2603.02765","title":"Next Embedding Prediction Makes World Models Stronger","created":"2026-03-03","cited_by_count":4,"area":"wm"},{"id":"2508.09561","title":"Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges","created":"2025-08-13","cited_by_count":3,"area":"wm"},{"id":"2510.08553","title":"Dream to Recall: Imagination-Guided Experience Retrieval for Memory-Persistent Vision-and-Language Navigation","created":"2025-10-09","cited_by_count":3,"area":"wm"},{"id":"2605.24578","title":"World Models as Group Actions","created":"2026-05-23","cited_by_count":3,"area":"wm"},{"id":"2508.10489","title":"Learning State-Space Models of Dynamic Systems from Arbitrary Data using Joint Embedding Predictive Architectures","created":"2025-08-14","cited_by_count":2,"area":"wm"},{"id":"2511.15407","title":"IPR-1: Interactive Physical Reasoner","created":"2025-11-19","cited_by_count":2,"area":"wm"},{"id":"2605.05951","title":"HaM-World: Soft-Hamiltonian World Models with Selective Memory for Planning","created":"2026-05-07","cited_by_count":2,"area":"wm"},{"id":"2208.03936","title":"Sparse Representation Learning with Modified q-VAE towards Minimal Realization of World Model","created":"2022-08-08","cited_by_count":1,"area":"wm"},{"id":"2603.01748","title":"Discrete World Models via Regularization","created":"2026-03-02","cited_by_count":1,"area":"wm"},{"id":"2308.02136","title":"World-Model-Based Control for Industrial box-packing of Multiple Objects using NewtonianVAE","created":"2023-08-04","cited_by_count":0,"area":"wm"},{"id":"2610.00727","title":"CF-JEPA: Improving Robustness of JEPA World Models via Controllability Factorization","created":"2026-09-30","cited_by_count":0,"area":"wm"}],"next_cursor":null}