https://github.com/google/brain-tokyo-workshop

🧠🗼
https://github.com/google/brain-tokyo-workshop

Last synced: 25 days ago
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🧠🗼

• Host: GitHub
• URL: https://github.com/google/brain-tokyo-workshop
• Owner: google
• License: apache-2.0
• Created: 2019-07-10T06:47:40.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2024-07-09T17:49:39.000Z (4 months ago)
• Last Synced: 2024-10-01T12:23:12.966Z (about 1 month ago)
• Language: Jupyter Notebook
• Homepage:
• Size: 61.6 MB
• Stars: 1,244
• Watchers: 38
• Forks: 326
• Open Issues: 31
• Metadata Files:
  • Readme: README.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE

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• StarryDivineSky - brain-tokyo-workshop

README

        
# Brain Tokyo Workshop 🧠🗼

This repo contains research materials released by members of the Google Brain team in Tokyo.

## Past Projects ##

### Weight Agnostic Neural Networks ###



  



[Code Release](https://github.com/google/brain-tokyo-workshop/tree/master/WANNRelease)

[Link to Article](https://weightagnostic.github.io/) ([pdf version](https://arxiv.org/abs/1906.04358))

### Learning to Predict Without Looking Ahead: World Models Without Forward Prediction ###



  



[Code Release](https://github.com/google/brain-tokyo-workshop/tree/master/learntopredict)

[Link to Article](https://learningtopredict.github.io/) ([pdf version](https://arxiv.org/abs/1910.13038))

### Neuroevolution of Self-Interpretable Agents ###



[Code Release](https://github.com/google/brain-tokyo-workshop/tree/master/AttentionAgent)

([Code for CarRacing Variants](https://github.com/google/brain-tokyo-workshop/tree/master/CarRacingExtension))



*[Extensions](https://github.com/google/brain-tokyo-workshop/tree/master/CarRacingExtension) to CarRacing-v0 environment released to facilitate future research.*

[Link to Article](https://attentionagent.github.io/) ([pdf version](https://arxiv.org/abs/2003.08165))

### Modern Evolution Strategies for Creativity: Fitting Concrete Images and Abstract Concepts



[Code Release](https://github.com/google/brain-tokyo-workshop/tree/master/es-clip)

### The Sensory Neuron as a Transformer: Permutation-Invariant Neural Networks for Reinforcement Learning



[Code Release](https://github.com/google/brain-tokyo-workshop/tree/master/AttentionNeuron)  

[Link to Article](https://attentionneuron.github.io/) ([pdf version](https://arxiv.org/abs/2109.02869))

## Disclaimer

This is not an official Google product.