qlearningwithworldmodels/anonymous-pixel-world-models

reinforcement-learning model by qlearningwithworldmodels

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Anonymous supplementary checkpoints for the accompanying double-blind submission. These assets support pixel-based tree-search experiments on five LIBERO-90 tasks. video world model trained for 200,000 steps. released task prompts and the empty negative prompt. mapping (state, action) to the next state. The base Wan2.2 VAE and tokenizer are third-party assets and are intentionally not redistributed here. Follow the anonymous…

qlearningwithworldmodels/anonymous-pixel-world-models on Hugging Face A short preview, not the full document.

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Model overview

qlearningwithworldmodels/anonymous-pixel-world-models is a reinforcement-learning model repository published by qlearningwithworldmodels on Hugging Face. A library was not reported.

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Model facts

Task: reinforcement-learning
Library: Not reported
Recent downloads (30 days): 0
Cumulative likes: 0
Hugging Face trending score: 0
Reported safetensors parameters: Not reported
Architecture: Not reported
License: mit
Access: Not gated by Hugging Face
Created: 2026-09-21T06:13:37.000Z
Last modified: 2026-09-21T06:14:19.000Z

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