mazpie / genrl

[NeurIPS 2024] GenRL: Multimodal foundation world models allow grounding language and video prompts into embodied domains, by turning them into sequences of latent world model states. Latent state sequences can be decoded using the decoder of the model, allowing visualization of the expected behavior, before training the agent to execute it.

Date Created 2024-06-25 (4 months ago)

Commits 2 (last one 3 months ago)

Stargazers 60 (1 this week)

Watchers 2 (0 this week)

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RepositoryStats indexes 584,777 repositories, of these mazpie/genrl is ranked #414,680 (29th percentile) for total stargazers, and #478,954 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #78,680/116,437.

mazpie/genrl is also tagged with popular topics, for these it's ranked: reinforcement-learning (#971/1313)

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Homepage URL: https://mazpie.github.io/genrl/

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multimodal embodied-ai world-models embodied-agent foundation-models reinforcement-learning

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updated: 2024-11-21 @ 03:44pm, id: 820063399 / R_kgDOMOEspw