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The identification methods in this package allow adding a regularisation term to the loss for better convergence. It would be nice if we could regularise not only the parameters and obtained system bu…
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For RAM, LISREL, and state space models we'd like to be able to get the
- [x] Manifest means
- [x] Manifest covariance
- [ ] Latent means
- [ ] Latent covariance
- [x] Thresholds
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# Deploy a Speech-to-Text model
These works are focused on Whisper.
## What's whisper?
Whisper is a Transformer-based model developed by OpenAI, specializing in Speech-to-Text (STT) tasks, also kno…
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Different architectures can be used to implement the latent dynamics model for a model-based agent. Implement the following models in the subdirectories of `models/dynamics_models`. All dynamics model…
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### Description
Similar to the current torch/tf/jax ModelV2 models, add a new folder ('numpy' or 'tabular') that implements tabular models for RLlib, and trains them using e.g. ridge regression.
###…
ghost updated
2 years ago
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Do you have the dataset for the Artificial Dataset and Weather data mentioned in the paper? I was trying out your model structure in Pymc3 to check state space models with ADVI.
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In addition to Dr. Sarma's lab, which investigates control theoretic models of brain state spaces, including those modeling epileptic and Parkinson's patients, what other state-of-the-art research out…
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Hello, thank you for your great work! M2bert paper mentioned that "Monarch Mixer is part of a new class of architectures called state-space models (SSMs), which include S4, Mamba, and BiGS".
Is Monar…
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Hello! Thank you for your amazing work! I already read the paper and I might miss some information, I would appreciate your answers, thus I have several questions:
1. For the backbone, as stated in…
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### What happened + What you expected to happen
I want to use an environment with an observation space of 2 dimensions with the new API stack but I'm unable to do so as the `_get_encoder_config` me…