avalon
gdrl
| avalon | gdrl | |
|---|---|---|
| 2 | 1 | |
| 169 | 747 | |
| 1.2% | - | |
| 1.3 | 10.0 | |
| about 1 year ago | over 2 years ago | |
| Jupyter Notebook | Jupyter Notebook | |
| GNU General Public License v3.0 only | BSD 3-clause "New" or "Revised" License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
avalon
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Using AI to infer depth information from images in Godot 4 .NET 6 using the MiDaS monocular depth model
Good luck with your research! If you want to see a much more comprehensive Godot project doing pretty serious AI research, check out Avalon, which is being developed to train free-acting AI agents in realtime 3D environments.
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Godot Engine Release Management: 4.0 and beyond
If you’re interested there’s a new RL benchmark that was built using Godot (disclaimer I helped make it!)
https://github.com/Avalon-Benchmark/avalon
gdrl
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How to proceed further? (Learning RL)
I would recommend looking at Grokking Deep RL if you are looking for some hands on DRL practice in python without starting completely from scratch. You can find some of the jupyter notebooks here.
What are some alternatives?
godot_rl_agents - An Open Source package that allows video game creators, AI researchers and hobbyists the opportunity to learn complex behaviors for their Non Player Characters or agents
deep-rl-class - This repo contains the syllabus of the Hugging Face Deep Reinforcement Learning Course.
ml-course - Open Machine Learning course
World4AI - World4AI is an educational resource for AI.
nn - 🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Andrew-NG-Notes - This is Andrew NG Coursera Handwritten Notes.
baselines - OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Practical_RL - A course in reinforcement learning in the wild
Reinforcement-Learning - Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
stable-baselines3 - PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
conformal_classification - Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true class with high probability (via conformal prediction).