MultiWorld: Scalable Multi-Agent Multi-View Video World Models Paper • 2604.18564 • Published 2 days ago • 35
Agent-World: Scaling Real-World Environment Synthesis for Evolving General Agent Intelligence Paper • 2604.18292 • Published 2 days ago • 60
HY-World 2.0: A Multi-Modal World Model for Reconstructing, Generating, and Simulating 3D Worlds Paper • 2604.14268 • Published 7 days ago • 103
From P(y|x) to P(y): Investigating Reinforcement Learning in Pre-train Space Paper • 2604.14142 • Published 7 days ago • 28
SpatialEvo: Self-Evolving Spatial Intelligence via Deterministic Geometric Environments Paper • 2604.14144 • Published 7 days ago • 62
GameWorld: Towards Standardized and Verifiable Evaluation of Multimodal Game Agents Paper • 2604.07429 • Published 14 days ago • 113
Seedance 2.0: Advancing Video Generation for World Complexity Paper • 2604.14148 • Published 7 days ago • 148
Rethinking On-Policy Distillation of Large Language Models: Phenomenology, Mechanism, and Recipe Paper • 2604.13016 • Published 8 days ago • 84
Solving Physics Olympiad via Reinforcement Learning on Physics Simulators Paper • 2604.11805 • Published 9 days ago • 16
Matrix-Game 3.0: Real-Time and Streaming Interactive World Model with Long-Horizon Memory Paper • 2604.08995 • Published 12 days ago • 46
ViVa: A Video-Generative Value Model for Robot Reinforcement Learning Paper • 2604.08168 • Published 13 days ago • 17
FP4 Explore, BF16 Train: Diffusion Reinforcement Learning via Efficient Rollout Scaling Paper • 2604.06916 • Published 14 days ago • 34
INSPATIO-WORLD: A Real-Time 4D World Simulator via Spatiotemporal Autoregressive Modeling Paper • 2604.07209 • Published 14 days ago • 35
Action Images: End-to-End Policy Learning via Multiview Video Generation Paper • 2604.06168 • Published 15 days ago • 14