Dynamic World
No mentions found
This entity hasn't been tracked yet, or Iris is still building its knowledge base.
Related Articles from SNS
Scientists reveal Ötzi the Iceman's dynamic microbial world
Scientists reveal Ötzi the Iceman's dynamic microbial world June 3 : Ötzi the Iceman died violently roughly 5,300 years ago in the Alpine region of the modern border between Italy and Austria. An arrowhead was found lodged in his left shoulder, having caused fatal bleeding when he was attacked in mountainous terrain. But, in some sense, Ötzi still lives, as new research shows.
World2Act: Latent Action Post-Training from World Model Dynamics
arXiv:2603.10422v2 Announce Type: replace Abstract: World Models (WMs) offer a promising mechanism for post-training Vision-Language-Action (VLA) policies by providing dynamics priors that improve generalization under task and scene variation. However, most WM-based post-training methods rely on pixel-space supervision, making policies sensitive to visual artifacts introduced by imperfect WM rollouts. We present World2Act, a latent-space post-training framework that transfers WM dynamics to...
Intercepting the Future: Latent-Space Predictive World Model for Dynamic VLA Manipulation
arXiv:2606.02486v1 Announce Type: new Abstract: Vision-Language-Action (VLA) models generalize across static manipulation but fail when objects move during task execution. They map the current observation to an action and assume the scene is stationary between observation and execution, so at any non-trivial object speed the resulting latency exceeds the time available to grasp. We close this gap with AHEAD (Anticipatory Horizon Extrapolation with Adaptive Dynamics), a predict-then-act...
PLAN-S: Bridging Planning with Latent Style Dynamics for Autonomous Driving World Models
Announce Type: new Abstract: Latent world models (LWMs) have strengthened end-to-end autonomous driving by forecasting compact scene dynamics for downstream planning. However, existing LWM-based planners usually generate trajectories directly from entangled latent representations. This compact latent-to-planner pathway lacks explicit modeling of risk, drivability, and diverse style preferences, making driving-style dynamics difficult to supervise, inspect, or modulate before a final...
Toward Compiler World Models: Learning Latent Dynamics for Efficient Tensor Program Search
Announce Type: new Abstract: Tensor program optimization is essential for modern machine learning systems, but its search space is enormous. Existing auto-schedulers reduce measurement cost with learned cost models, yet they usually evaluate each candidate as a static code snapshot, ignoring the schedule trajectory that produced it. This makes them insensitive to action dependencies and vulnerable to superficial code variations.
Can VLMs Predict Future States? Bootstrapping World Models from Inverse Dynamics
arXiv:2506.06006v3 Announce Type: replace Abstract: Can unified vision-language models (VLMs) perform forward dynamics prediction (FDP), i.e., predicting the future state (in image form) given the previous observation and an action (in language form)? We find that VLMs struggle to generate physically plausible transitions between frames from instructions. Nevertheless, we identify a crucial asymmetry in multimodal grounding: fine-tuning a VLM to learn inverse dynamics prediction...
Flow Equivariant World Models: Memory for Partially Observed Dynamic Environments
arXiv:2601.01075v2 Announce Type: replace Abstract: Embodied systems experience the world as 'a symphony of flows': a combination of many continuous streams of sensory input coupled to self-motion, interwoven with the dynamics of external objects. These sensory streams and the underlying dynamics of the world obey smooth, time-parameterized symmetries which existing world models ignore. Without a memory that respects this structure, partial observability presents a major obstacle to existing...
‘It’s Bible time’: How religion became part of the USMNT’s World Cup identity
From Christian Pulisic to Weston McKennie, many of the team’s biggest stars have been open about their faith, creating a new dynamic for a home World Cup• World Cup newsletter | Daily podcast | Get the appIn the third episode of the interminable, nine-part Pulisic docuseries, its subject, Christian Pulisic, sits down at a dining table, pink orchids blooming behind him. a friend asks him, holding a camera in Pulisic’s face.
‘It’s Bible time’: How religion became part of the USMNT’s World Cup identity
From Christian Pulisic to Weston McKennie, many of the team’s biggest stars have been open about their faith, creating a new dynamic for a home World Cup• World Cup newsletter | Daily podcast | Get the appIn the third episode of the interminable, nine-part Pulisic docuseries, its subject, Christian Pulisic, sits down at a dining table, pink orchids blooming behind him. a friend asks him, holding a camera in Pulisic’s face.
Dynamics Are Learned, Not Told: Semi-Supervised Discovery of Latent Dynamics Geometries For Zero-Shot Policy Adaptation
Announce Type: new Abstract: Real-world dynamics shifts pose a critical challenge for reinforcement learning in robotics, as policies tightly coupled to nominal environments often fail catastrophically when physical conditions change. Most existing methods rely on encoding explicitly identified physical parameters into a latent context, a parameter-centric paradigm that depends on pre-specified axes of variation and becomes brittle under unmodeled or compound dynamics changes. We revisit...