Generative World Modelling for Humanoids: 1X World Model Challenge Technical Report
Technical report detailing our method that won the 1X World Model Challenge 2025.
Riccardo Mereu
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1 min read
1X World Model Challenge
Introduction World models equip agents (e.g., humanoid robots) with internal simulators of their environments. By “imagining” the consequences of their actions, agents can plan, …
Aidan Scannell
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5 min read
Discrete Codebook World Models for Continuous Control
Discrete Codebook World Models
In reinforcement learning (RL), world models serve as internal simulators, enabling agents to predict environment dynamics and future outcomes in order to make informed decisions. …
Aidan Scannell
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1 min read