mazpie / genrl

[NeurIPS 2024] GenRL: Multimodal-foundation world models enable 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 (6 months ago)

Commits 3 (last one about a month ago)

Stargazers 63 (0 this week)

Watchers 2 (0 this week)

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RepositoryStats indexes 598,732 repositories, of these mazpie/genrl is ranked #403,796 (33rd percentile) for total stargazers, and #487,120 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #77,008/120,199.

mazpie/genrl is also tagged with popular topics, for these it's ranked: reinforcement-learning (#955/1341)

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

All Topics

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

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updated: 2024-12-05 @ 08:31pm, id: 820063399 / R_kgDOMOEspw